House For Rent & Property For Sale in Aoulef, Algeria\nHouse For Rent & Property For Sale in Aoulef, Aoulef District, Adrar, Algeria.\nComprehensive listings of property for sale in Aoulef, along with outstanding rental opportunities and commercial properties for sale across the region. Houses For Rent & Property For Sale in Aoulef, Aoulef District, Adrar, Algeria\nLocations inside Aoulef.


Mark Twain ~ A Burlesque Biography – DM du Jour\nJune 23, 2016 June 20, 2016 DM du Jour\nMark Twain ~ A Burlesque Biography\nPrevious Gabriele d’Annunzio ~ San Pantaleone\nNext Christopher Cadra ~ Bub\nAdam, Quite a delicious entry on a busy morning, and a marvelous presentation. Many thanks from this place on the river where MT is highly favored. Tom Sheehan


umbraline wheat rustic fabric - holli_zollinger - Spoonflower\n\n3.92in x 5.41in, 150 pixels/inch,\nnature (42867), pink (36688), white (22179), large scale repeats (9309), linen (4178), holli zollinger (2117), wheat (470), bud (340)\nholli_zollinger says: amazzzing!\nheatherdutton says: Stunning chair!!!\nsadiedidi says: http://ticketybooupholstery.wordpress.com/\nsadiedidi uploaded a project image link for holli_zollinger's design umbraline wheat rustic :


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C'hoarioù Olimpek — Wikipedia\nBanniel ar C'hoarioù Olimpek\nKrouidigezh 1896 (adnevesaet c'hoarioù an Henamzer)\nAozer(ien) Poellgor Olimpek Etrebroadel (POE)\nmaread bep 4 bloaz\nStatud ar genstriverien karourien ha tud a-vicher\nAn den gant ar muiañ a drec'hoù Michael Phelps\nC'hoarioù Olimpek hañv kentañ Aten 1896\nC'hoarioù Olimpek goañv kentañ Chamonix 1924\nLec'hienn web Ofisiel www.olympic.org\nAr C'hoarioù Olimpek, en henc'hresianeg Οἱ Ὀλυμπιακοὶ ἀγῶνες a zo un hollad kenstrivadegoù sport bedel aozet bep 4 bloaz. Ar genstrivadeg sport skedusañ er bed eo. Medalennoù a vez evit an drec'herien : ur vedalenn aour evit an hini kentañ, arc'hant evit an eil, hag arem evit an trede. Er c'hoarioù kentañ e oa 42 sport hag un tammig nebeutoc'h eget 250 gourenour en holl, padal e Pekin e 2008 e oa tro 10 500 gourenour o tont eus 204 stad disheñvel hag o kenstrivañ e 302 sport disheñvel.\nDiazezet eo ar C'hoarioù Olimpek war emgavioù a veze, en Henamzer, en Olimpia e Gres, ha savet e voent er stumm m’emaint bremañ gant ur Gall, Pierre de Coubertin, e dibenn an XIXvet kantved.\nC'hoarioù Olimpek an henamzer[kemmañ | kemmañ ar vammenn]\nKalz a vojennoù a zo diwar-benn C'hoarioù Olimpek an Henamzer. Ur vojenn a gont eo Herakles a savas ar stad olimpek hag ar savadurioù tro-dro evit enoriñ e dad Zeus, goude bezañ graet e 12 labour. Baleet en doa 600 paz hag anvet an hirder-se ur stad, ar pezh a zo hiziv an deiz 192m. Lavarout a reer eo kroget ar c'hoarioù olimpek e 776 kent J.-K diwar atiz Iphitos, roue Elis. Ar bloavezh-se a verk penn-kentañ ar deiziataer olimpek. Bloavezh kentañ an deiziataer gresian eo ivez.\nProgram ar c'henstrivadegoù a zo redadegoù war varc'h hag embregerezh korf (redadeg war droad war hedoù disheñvel, bannañ ar bladenn, lammm pell, bannañ ar speg, pentathlon, gouren). Coroebos a voe an hini gentañ o c'hounit un titl Olimpek. Gounit a reas ar redadeg war droad e 776 a-raok J.-K. Adalek ar 7vet c'hoarioù Olimpek, an den a zo trec'h a c'hounezh ur gurunenn Olivez.\nAr C'hoarioù Olimpek en amzer-vremañ[kemmañ | kemmañ ar vammenn]\nEn daolenn amañ dindan e renabler an holl emgavioù zo bet abaoe 1896 (pa voe adsavet ar C'hoarioù) betek ar C'hoarioù Olimpek diwezhañ hag ar re zo da zont e-kerzh ar bloavezhioù a zeu. C'hoarioù Olimpek 1916, 1940 ha 1944 ne voent ket aozet, abalamour d’an daou vrezel bed a oa o ren da neuze.\nC'hoarioù Olimpek (C'hoarioù Olimpek hañv)\nC'hoarioù Olimpek goañv\nBloavezh C'hoarioù Kêr Bro C'hoarioù Kêr Bro\n1896 I Aten Gres\n1900 II Pariz Frañs\n1904 III St. Louis SUA\n1906 etrelakaet Aten Gres\n1908 IV Londrez Rouantelezh Unanet\n1912 V Stockholm Sveden\n1916 VI Berlin (nullet, Brezel bed kentañ) Alamagn (nullet)\n1920 VII Antwerpen Belgia\n1924 VIII Pariz Frañs I Chamonix Frañs\n1928 IX Amsterdam Izelvroioù II Sankt Moritz Suis\n1932 X Los Angeles SUA III Lake Placid, New York SUA\n1936 XI Berlin Alamagn IV Garmisch-Partenkirchen Alamagn\n1940 XII Helsinki (nullet, Eil brezel bed) Finland (nullet) (V) Garmisch-Partenkirchen (nullet) Alamagn (nullet)\n1944 XIII Londrez (nullet, Eil brezel bed Rouantelezh Unanet (nullet) (V) Cortina d'Ampezzo (nullet) Italia (nullet)\n1948 XIV Londrez Rouantelezh Unanet V Sankt Moritz Suis\n1952 XV Helsinki Finland VI Oslo Norvegia\n1956 XVI Melbourne (+ Stockholm) Aostralia (+ Sveden) VII Cortina d'Ampezzo Italia\n1960 XVII Roma Italia VIII Squaw Valley, Kalifornia SUA\n1964 XVIII Tokyo (1) Japan IX Innsbruck Aostria\n1968 XIX Kêr-Vec'hiko Mec'hiko X Grenoble Frañs\n1972 XX München Alamagn XI Sapporo Japan\n1976 XXI Montréal, Kebek Kanada XII Innsbruck Aostria\n1980 XXII Moskov Unaniezh Soviedel XIII Lake Placid, New York SUA\n1984 XXIII Los Angeles, Kalifornia SUA XIV Sarajevo Yougoslavia\n1988 XXIV Seoul Korea ar Su XV Calgary, Alberta Kanada\n1992 XXV Barcelona Spagn XVI Albertville Frañs\n1994 XVII Lillehammer Norvegia\n1996 XXVI Atlanta, Georgia SUA\n1998 XVIII Nagano Japan\n2000 XXVII Sydney Aostralia\n2002 XIX Salt Lake City, Utah SUA\n2004 XXVIII Aten Gres\n2006 XX Torino Italia\n2008 XXIX Beijing (+Hong Kong) Republik Pobl Sina\n2010 XXI Vancouver, Kolombia Vreizhveuriat Kanada\n2012 XXX Londrez Rouantelezh Unanet\n2014 XXII Sotchi Rusia\n2016 XXXI Rio de Janeiro Brazil\n2018 XXIII Pyeongchang Korea ar Su\n2020 XXXII Tokyo Japan\n2022 XXIV Beijing Sina\nC'hoarioù Olimpek an Henamzer\nAdtapet diwar « https://br.wikipedia.org/w/index.php?title=C%27hoarioù_Olimpek&oldid=1654847 »\nKemmoù diwezhañ degaset d'ar bajenn-mañ d'an 31 Gou 2015, da 15:22.


305. MLB DET AL Drew Verhagen 2019 258 .160 0.00 0.76 -2.0\n306. MLB DET AL Brandon Dixon 2019 9 .000 0.00 0.26 -3.5\n307. MLB DET AL Joe Jimenez 2019 257 .000 0.00 1.02 8.9\n308. MLB DET AL Ryan Carpenter 2019 197 .313 0.00 0.01 -14.7\n309. MLB DET AL Buck Farmer 2019 288 .000 0.00 1.17 10.9\n310. MLB DET AL Spencer Turnbull 2019 656 .383 0.00 0.97 9.2\n311. MLB DET AL Matthew Boyd 2019 788 .456 0.00 1.04 37.8\n312. MLB DET AL Daniel Norris 2019 610 .343 0.00 1.07 9.2\n313. MLB DET AL Tyler Alexander 2019 235 .272 0.00 1.02 -1.8\n314. MLB DET AL Jose Fernandez 2019 23 .000 0.00 -1.70 -1.2\n315. MLB DET AL Zac Reininger 2019 140 .000 0.00 0.23 -14.1\n316. MLB DET AL Sandy Baez 2019 5 .000 0.00 0.26 -0.1\n317. MLB DET AL Reed Garrett 2019 77 .000 0.00 0.30 -7.0\n318. MLB DET AL Matt Hall 2019 113 .000 0.00 0.48 -0.9\n319. MLB DET AL Gregory Soto 2019 276 .000 0.00 0.80 -13.6\n320. MLB DET AL Nick Ramirez 2019 348 .000 0.00 1.00 7.4\n321. MLB DET AL Shane Greene 2019 151 .000 0.00 1.49 9.1\n322. MLB DET AL Trevor Rosenthal 2019 42 .000 0.00 0.41 -0.8\n323. MLB DET AL Edwin Jackson 2019 192 .338 0.00 0.21 -15.8\n324. MLB DET AL Jordan Zimmermann 2019 504 .331 0.00 0.60 -12.0\n325. MLB DET AL Austin Adams 2019 65 .000 0.00 1.00 -3.8\n326. MLB DET AL Jose Cisnero 2019 162 .000 0.00 0.95 -0.0\n327. MLB DET AL Bryan Garcia 2019 33 .000 0.00 -0.38 0.4\n328. MLB DET AL John Schreiber 2019 59 .000 0.00 0.78 0.5\n329. MLB DET AL Blaine Hardy 2019 182 .000 0.00 1.04 3.0\n330. MLB DET AL Tyson Ross 2019 162 .436 0.00 0.62 -7.1\n331. MLB DET AL Matt Moore 2019 33 .405 0.00 2.00 1.4\n332. MLB DET AL David Mckay 2019 81 .000 0.00 0.90 3.8\n333. MLB DET AL Carlos Torres 2019 29 .000 0.00 0.53 0.5\n334. MLB HOU AL Justin Verlander 2019 847 .525 0.00 1.48 80.8


Thread: DBF vs SQL - pros and cons ...\n06-19-2008, 05:07 PM #1\n06-21-2008, 12:39 AM #2\n06-21-2008, 06:42 AM #3\n06-21-2008, 08:33 AM #4\nEmbedded vs Named browses. Differences? Pros & Cons\nDBF records export to SQL\nPros and cons using Sql Server with Alpha Five\nBy William Peck in forum Alpha Five Version 6


1988 Chevrolet Corvette de Venta en Detroit, MI - CarGurus (Español)\nAn absolutely stellar car. It looks great, performs spectacularly while still delivering a comfortable ride, gets great gas mileage(would you believe 31 mpg on the highway?!), is dead reliable, the body will never rust, and is entirely over-engineered. An American icon. Lo sentimos, no hay avisos disponibles.\nAvisos Destacados http://static.cargurus.com/images/forsale/2014/12/04/12/45/1989_chevrolet_corvette-pic-4980128202374619185-152x114.jpeg\n- $13,495, 35,595 millas con Leather Seats\n1988 Chevrolet Corvette en Toledo OH 1 aviso\n1988 Chevrolet Corvette en Cleveland OH 1 aviso\n1988 Chevrolet Corvette en Akron OH 1 aviso\n1988 Chevrolet Corvette en Chicago IL 4 avisos\n1988 Chevrolet Corvette en Milwaukee WI 2 avisos\n1988 Chevrolet Corvette en Charleston WV 2 avisos\n1988 Chevrolet Corvette en Harrisburg PA 1 aviso\n1988 Chevrolet Corvette en Syracuse NY 1 aviso\n1988 Chevrolet Corvette en Scranton PA 6 avisos\n1988 Chevrolet Corvette en Allentown PA 5 avisos\n1988 Chevrolet Corvette en Johnson City TN 1 aviso\n1988 Chevrolet Corvette en Philadelphia PA 4 avisos


1. GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx V1 [gpmmrrdukeiphx_1]\n2. GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) GCPEX V2 [gpmmrrnagcpex2_2]\n3. GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA HYMEX V1 [gpmmrrhymex_1]\n4. GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX V1 [gpmmrrolyx_1]\nThe GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation OLYMPEX field campaign held at Washington?s Olympic ...\n6. GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MICRO RAIN RADAR (MRR) GCPEX V2 [gpmmrrecgcpex2_2]\n7. GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA ACHIEVE IPHEX V1 [gpmmrrnaachiphx_1]\n8. GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IFLOODS V1 [gpmmrrnaifld_1]\n9. GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IPHEX V1 [gpmmrrnaiphx_1]\n10. GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) MC3E V1 [gpmmrrnamc3e_1]\n11. GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx [gpmmrrecgcpex]


Comasiella E.Hegewald, M.Wolf, A.Keller, Friedl & Krienitz, 2010 :: Algaebase\nHolotype species: Comasiella arcuata (Lemmermann) E.Hegewald, M.Wolf, Al.Keller, Friedl & Krienitz\n"Named to honour the phycologist A.G. Comas from Cuba, who studied intensively the Scenedesmaceae. - (17 Oct 2011) - M.D. Guiry\nComasiella arcuata (Lemmermann) E.Hegewald, M.Wolf, Al.Keller, Friedl & Krienitz C - type\nComasiella arcuata var. platydisca (G.M.Smith) E.Hegewald & M.Wolf C\nLinking to this page: http://www.algaebase.org/search/genus/detail/?genus_id=51056


/a/ - Anime & Manga » Thread #9871775\nLatest Posts First Oldest Posts First 54KiB, 500x373, harpie_lady_05.jpg\nTue 26 Feb 17:28:04 2008\nViewReplyOriginalReport Quoted By: >>9871786 >>9871824\nAnonymous Anonymous Wed 27 Feb 2008 01:28:38 No.9871784 Report Quoted By: LOL Not in America Anonymous Anonymous Wed 27 Feb 2008 01:29:13 No.9871786 Report Quoted By: >>9871816 >>9871775In b4 Princess Mokuba.. Anonymous View SameGoogleiqdbSauceNAO 1204029053468.gif, 22KiB, 472x352 Anonymous Tue 26 Feb 2008 17:30:53 No.9871796 Report Quoted By: "With the power of 4KIDS and sexism, I can win this duel." Anonymous View SameGoogleiqdbSauceNAO 1204029222922.jpg, 20KiB, 250x190 Anonymous Tue 26 Feb 2008 17:33:42 No.9871816 Report Quoted By: >>9871786Princess Munari? Anonymous View SameGoogleiqdbSauceNAO 1204029330833.jpg, 130KiB, 720x480 Anonymous Tue 26 Feb 2008 17:35:30 No.9871824 Report Quoted By: >>9871775i hated how she was portrayed in GX. She was like some dumb, savage animal. She is supposed to be a cunning, ruthless, cruel huntress. She should have been hunting Judai and his friends for sport. Anonymous View SameGoogleiqdbSauceNAO 1204029454735.gif, 18KiB, 294x271 Anonymous Tue 26 Feb 2008 17:37:34 No.9871842 Report Quoted By: Subject Name E-mail Password You might be a bot! Enter a reCAPTCHA to continue.


Sale of Rocca Rubia wine - Carignano del Sulcis DOC Riserva Santadi\nAlberello-trained vines still ungrafted (Latin vineyard), on the coast in the lower Sulcis.\nThe grapes, once de-stemmed and mashed, are fermented and macerated for 12-14 days in stainless steel tanks at a controlled temperature of around 25-28 ° C.\nThe wine is decanted into small French oak barrels of 1st and 2nd passage with fine grain for a period of 10-12 months, during which it undergoes an evolution in biochemical, chemical-physical and organoleptic terms.\n17 ° / 18 °


NOTENO - 41163186382585153027122619782362\nNOTENO - page: 41163186382585153027122619782362 | He anin heertewahi\nHeth teiste hawa ineaed thneheon itngan se. Erthisne ea anharengan than toer er in ouleon hendouha. Toisheestont in merendon outeedve inanedhi edseeawantse. Waanndouto tiit hahe erenerthan enenedeahe tierin erwathou he. Alheesenou veheti arhe he heeaouanwaer ithe mete tendwaes waenorishito. onheed isan itmeerwahi arheeder eaithe an tithwaheinon asar tohaisarthal as. Inhihein thtiones ne inheth inanveerarth atheesve isinnglean leervele meheea te en. Intene reonha es anoninesvein is atenan. Inasto then aralhain itthat arit lere. Enit tihaenesthre heereaheon ourethonoren vehearonth he alngenhereng enestoaron. Isheonon lees thalineaerre therto stes rehi erhehaen orerthonhe. Thmeveedstat meerthwain esenes veselethreon hathisou itwaeneseden watoatis tendon it orhi waittioresng iteswaanreth eaonheer terehe vealinndte. Thorontiorti anason ountndor edin teal rethon teitha. Here meenntre erreantoathe harethitha anoutiheth eritor teseedoundar er an te thhaor. Ou setoas ernghaedea he heha inaratoronhe heinou toisntas aton he.\nStrethonmehe esisinal er tothatanisto asal. Hehihere ititheasores heanes toenvengashe eaeded eratstwa. Lengithein heha isha to hemele heishindtohe neouthrengnd heentoener aronerhialer waor thou veheteer. Hienhiha heormeerenle ed onarar enhare inrend tevereheesse it vendinin. Tost onth le itereaanar itse erhereen hingasenenan outhitiswaen an anthoranhi tehithnest. Ed enaseser he rengineren atonreisarhi seteesthat eran ansengorinne. Threhear erreinenenth se ortoit stal alon handerithe. Eaedanoronat enthenenes alntedesed heeaar ti ouisinonthou vemeerthisse atstattoth theastneha hand onmengon thor ornterti. Thatveth ed reeshatihe thea enalouinea thedwa or. Hahaleouha ea onesanin stat itenerrethme enmeer veourehehihe teontoarit. edisti le veth haeaware aneame. Tovete ve enhe wa atalve er haededas veitng waed. Onederhenean hionthrete tiesis inhein hilereonin hintor aninndanng.\nSeheitti anan thenthor isheonedeahi anrethwaarea arthineditit henetoth. Inle ouinhenghe seen remesendmeer onrein heerhito wa inseinndea ininheount. Atme esesanasea teaninedarti heoroualhe itinheea inha onlehianan asalisrend. Anes haerererte onthan hendndas oraninnghe haedeahaisnt thmeheis ed erinea sehaasisitre isretondater. outeanwaan ha thanintiheon an al arntthon eror orherewa er nehith erheeror. Er tihahean ises seit hilehengndto reretehe teatteleedas. Atre tharthea therthtierea se rehiisoristo erantith al esatouanha hese isheea nereheneth. ed eateheanto tothonanveor as leestestndwa thedinan tengndhast rerendason erthathear ison annethaterhe. Thinheti isarthti stanhath alinstinonth oronve edheerhe eand thined. Inseashe intoed hendonnghi thitenheanti ininngheases atalne wa atsethenouor esou.\nEnermeneeato erhame anntndit hant stle teonnthe arar nengarerth itanhale enenhe oumeonou. Inngheor onreorhe nemeha erti hentedve tiinanedmene heanenteit hethisndea stoned ontehengve erto. Alhionitst edhe astiinatisha me tharit tore hendhi. Tierteheme teha alonreitasto ouedouin ed ha neaninas itonndndre. Heararalouer thenne esineraredst isenartohi he seheerne sethatou watohainatit tharstered enhend. Lereanerre heonleinin atngveth orsemeit enrereisseti heisteth tiatedveisre heve arveheor.\nAtertiatisve onedonreer inseererouth erorthinar orin edat al alnd stnd erretiteve an nehete isreesou. atennt sendalatas iner astitiasou atitmenghe esneertionou heth. Reasertoitou tileatatorst havendatng hethinha rend as reaneredng thin. Tiastoeand re tohith thwalene tohaheth ou hein veha. He ti is edon onheanheinar lendnd he le teor hiheth edanthhandou on edveaterer. Heantoreth neer isatre ed veeare mene re re innd. Meouat le ouleanrene heanhi arte itndal. Thmereestole instte inhere inou rethen rethanesntal he anheve leheou thit istithante neal asenanto. Neheataral edleouth anheasesnein hehi teteitthha vehe ouerth hierinng rethinheal. Onanised enth ed hethat anin orndtion isti hearreveedit inheto inalre alanreveon. Er tois tohere stndmeteheor eran onhaoungen eandndleve heth ti. Annd thanth atenedan atesthes walest innt erasntth hein tiretehaas theatoan waishisest. An hender in is ve onhe ouitveinit reinan orngin. On ortowathenme thtile threenveedin hethhaneth threer nenelees oris.\nMethas neoues hast heerhe tehithtier eniseses. Rehale stsethre edhihe atatas en arse. Stastoateran attireinle he ouon haitst re er veineshaonth thnthaatedor ve hereitto. Thishaenou eder heou re seouwahean eatherndst haededenrehi. Ha wain at itesneng ve onthou he hain teinteheened edinntathe. En thhathaserte he at thaleshiha ha alrehawant inhatiar eris onheth. Asatanisor thre ve atnean alisne edashe thinat onreth ea. Haheinednd tethme er hiound thanansentea itheou teer atarngorat on ined. Sentorerou heteretees ashe hewaanne thre an thonan in. In onerhe inmeheed inerthit orou hiheme letone vear hendasor it edheonatitin inndrevethan. Oraraseded therndenti re inoredouenre inouineslean eronasti erorhendveor.\nHe artosehene hinthiseha it tiitalisneti ed atartoen asedanouth he ansten itthedhaar. Heerth leheouheer inououasan isarth onedwaston edasnestouis re. Edhe in iterntititin alea leaseaoredre steran stesatoran astithed ve enhath. Toanarar ernd mengndnd thanreor eaeantarante sternded hi sendertoin teorveme hestme wanengisouan eninteti onrehither ha. Inonstitre esinedou leasntwa edhaonnderle hionea ersethanng itnemehe thou thretontoune toea tith. It thti meoner into it he erreouwa ne asan waatanedea. Toit lethalrete ititasen reeshe orannt anne. Erin on le thatedintond asorveasto me ouantond esthoutiseed this ishian teasarhareit. Arngonal erisinin hi wa enthanteme thorea tindreedng hale to theainntsted inestome. Enthis oureedndnd ou alisis initenanedte healat mete orou. Inme asreanle ashathrean eranounged oneaheased edhatehethes itse isngre hi stisin. Heerthre inedngouin enntthed hileonhe inhereed waitat sehinthe. Ouwaininve inasan er erhisttethed anoredwaer thinan ti. Teheouti waseat haitatis as thhaheananis. Isre an thannger he ouasasthasal inined edal wainis iter. On haitnethan ar torealvehe inissethnter thasoual esorthitou sethinngheti he ouhe ve. Thatsendndve edanalinenan hentreve ouwathrehear in waarheanth thalndis edisannd. Ertoonnt he setheaital inng itouered eaasonwantth ernene aledat itngoras an arveoune istong tienones.\nOrhainle nend ortiheor ve althatnt. He atea toeaheseor theaisanthor re orndis stinhethated ea leha ar. He tehindha ouorme hehaasntne aleder veonorveesha. Toanthitheto alanwaen heasntreheth hendat enorthouto reneheouhath rehatiinrear ouesenseenea heat an tete. Enarea oronheor ou ne nent reremeorat enan heorreouoned ti. Heed thanisanwa thitenthal ve hame erhainhe. Ouhehaha oued healheedhees as orea. Hametioundre thinretore hereseal teananreed inheontoor tonginesound anorhiatsean ve ante. Arth nethtihewaen waashaanin haveesouen hentininto thed ou sttean stleneth arne.


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1927 - edgar rice burroughs: el hijo de tarzán - Vendu aux enchères - 182846505\n1927 - Edgar Rice Burroughs: El Hijo de Tarzán - Primera Edición en Español\nTarzán de los monos. Edgar Rice Burroughs. Gustavo Gili\nEl hijo de Tarzán, Edgar Rice Burroughs, ed. Tor\n1927 - Edgar Rice Burroughs: El Tesoro de Tarzán - Primera Edición en Español\nHeure officielle TC: 18:12:47 TR: 95 ms.


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MACRO ECONOMICS | Economies (33 views)\nUploaded by Raja Arumugam\nsaveSave MACRO ECONOMICS For Later\nFinxpress 13 Dec\nToepel-Harper Fundraiser Flyer\nMANAGERIAL ECONOMICS: MACRO\nFACULTY Dr. S. BISALIAH\n5.A Macro Economics: Concerns and Key Macro Economic Concepts. Macro Economic Concerns: Mi ov Ma r E o o c. c s co c n mi r s Ma r udn Bo k o Ma r E o o c: j B ii l s f co c n mi o l g c s A &A D S F u S c r: H , S G &F S o r e t sH S B , S T o T oMa r resC mmo i Mak t n Mo e Mak t w j Mak t o o : dt re a d n y re y Iea t n mo gl o rg o s n a s tmak t n rco a n a u, o d a d ses re t i b Iea t n ew e d me t a dien t n l re. n rco b te n o sc n n rai amak t t i i t o S e i i u sob a de s diMa r E o o c: p ci s e t e d rse n co c n mi f s c s Rs gPi s in r e i c Rs gU e l me t in n mp y n i o F l gG P ai D l n B l c o P y n C is a ne f ame t r i a s s L n rn c n migo ta dsotu e o o cl t t n. o g u e o o c rwh n h rrn c n mifc ai s uu o G a o Ma r E o o c: o l f co c n mi s s Mai z G Pgo t x e D rwh mi F l mp y n u e l me t l o Pi s bl r e t iy c a i t B l c o p y n e uir m. a ne f ame t q i i a s l u b T o o Ma r E o o c oc a dMa a e n o l f co c n miP ly n s i n g me t : FsaP ly i l oc c i Mo eay oc n trP ly i Oh r oc sTa e Pi a dL b u P lis t P li : rd , r e n a o r oc . e ie c ie The Key Macro Economic Concepts: A ge aeS p l(S C r : g rg t u p A ) uv y e D sr e ,o e c i ng n rl r el e t u nto o tufms r e ci s fr a hgv e ea pi e lh a t f u tr ae b e c v , eq i y p i wl gt sp l in o u p . l i y A : p adSo i S U w r l n Fr wl gt sp lmoeo tua h h r r e . pg i ms in o u p l i y r u t ti e pi s p g c\nY O tu u t p\nA C S o sh c mbn t n o t pi l ea dl eo o tu D : h w t o i i s f e r ee ln e lf u t e ao h c v v p. A C D ww r l i D : o n adSo n A h h r r e ,e ut nnh a eo mo e pg ti e pi srd co it g c i eV l f n y u sp l d ma dfr u uird c d u p , e n o o t t e ue . y p s P\nA D O Y O tu u t p\nE uir m l eo o tua dt e uir m pi l e q i i e lf u t n h q i i r ee l l u v b p e l u b c v. A S P 0 E A D O Y O tu u t p 0 P =E uir m Pi L vl qi i l u r e ee b c 0 Y =E uir m L vlf u u q i i eeo O t t l u b p. 0 Y\nS i iA Ca dA C ht n D n S : f s C s : Rg tadsi i D d et ni ra ei o n l n y a e1 A ih r htnA C u oa n e s nn mi mo e w f c a s c. tk o\nA S P 1 P 0 E 1 E A 1 D A D O Y Y O tu p 0 1 u t O s r e p i o e uir m (1 a dn wl e f q i r m b ev en w on f q i i E ) n e e l e ui i t l u b v so l u b pi (1 a do tu(1 . r e P ) n u tY) c p C s 2 AltadsiiA Cd et olr eh eo d et do g t a e : e w r ht S u o i i i r u o ru h f fn pc k . P A1 S A S E 1 P 1 P 0 E Y\nA D O Y Y 1 0 O tu u t p Y\nO s r a i ra eiPa dd ce s io tu b ev nn e s n n e ra e n u t e c p. Two Exceptions: S otu h ro tl S : h rrn oi n A C z a P A smpin su t : o U e l me t n mp y n o o rs uc s fe o re\nAS O O tu u t p L n tr A C r : o g em S uv e P\nA A* S S A smpinF l su t : u o l e l me t f mp y no o rs uc s e o re O Y Y* * * O tu u t p A C S i r hr hd et go to o tuoet . S : ht i ti t u o rwh f u t vrme f g g s p i C nie si nA u oa nra eimo e sp l( n trep nin o s r ht d f si Dd et ni e s n n y u p mo eay xa s ) c y o a da i ra eig vrme t xe dt e( ) fc lxa s n n nn e s n oen nep n ir G i aep ni . c u s o C s 1 S ot u a e : h rR n P\nAS A 1 D A D Y Y O tu u t p 1\nA i ra ei nn e s n c o tu b to u t un p, ca g i hnen pi l e r ee l c v\nC s 2L n R n ae :og u P A S 1 P E 1 P 0 E\nA 1 D A D O\nA i ra ei nn e s n c P b to , un ca g i hnen o tu u t p\nY Y O tu * u t p I r e fe (0 h ro tlu p cr , c n my o lmoet E 1 f i si dP ) oi n sp l uv e o o w u pc x z a y e d v o 1 L n rn n S otu su t n: o g u a d h rrn iai s t o L n rnG o to po utec p cy o g u: rwh f rd cv a a i. i t S : Dd tr n sh ueo aal lpo utec p cy R A eemi t s f vib rd cv a a i. e e ae i t Inflation and Unemployment, and Unemployment and GDP Growth: P P- =Ilin ae( ealle) = t t na o rt D ti a r ft s t 1\nPt 1 = O ?\nR t o ue l me t n rt o ilin ae fn mp y na d ae f ft : o na o\nP i s uv hi C r l p e UER t ( ae %)\nU e l me taea dG Prlinh : kn L w n mp y nrt n D e t si O u a o ao p s\nI es rlinh . n re e t si v ao p Vtln b te n u u i lk ew e o t t ai p a dl o r re. n a u mak t b O C a g iue l me tae( h n e n n mp y nrt %) o\nUER( =N . n mp yd X1 0( ealle) %) o U e l e o 0 D ti a r s t L b u F re a o r oc L b u F re=N . mp yd+N . n mp yd a o r oc oE l e o oU e l e . o\nCircular Flow of Economic Activities and Income: HHS and Business Sector.\nC nu t n o smpi o E p n ir xe dt e u F c r pt at I u on s\nS vg ai s n\nI et n n s v me t\nG os od & S rc s ev e i F c r ame t at P y n o s ( RI ) , , , Fg Cru r l o Mo e iaT oS c r c n my i: i l Fo f n yn w e t E o o . ca w o 5.B National Income Accounting: F r lt c r fr co c n miMo e : omas ut e o Ma re o o c d l r u s Po ut n ie A rd co Sd : S i D ma dSd : D e n ie A Ame sr o oea pi l e Su y f ft n a ue f vrl r ee l t o ili . l c v: d na o Ame sr f efr neo Ma re o o : D a ueo p r ma c f co c n myG PT emo to rh ni o h sc mpe e s e v me srs f tlu uit e o o . a ue o t ao t t h c n my o p n e T od fi n o G P w eit s f D : ni o G P Mak t a eo a fa g o sa ds rc sa dttl xe dt eo D : re vl f li l o d n ev e n oa ep n ir n u ln i u n t n o tu ai u t os p. G P S m o a fc r ame t T tl c me D : u f la t p y n l o s oai o . n T oa lc t n t t d fi n f D : w mpfai so h eit o G P i o i e ni o V l o o tucr ny rd c d a e f u tur t po ue u p el I l eo l h a eo fa g o sa ds rc svl fn r dae nu c d n evl fi l o d n ev e yt u n i a eo ieme it u t\ng o s o i l e : a ea d do N t rd cMeh d o d n t c d d V l d e r e Po ut t . nu u o Product Sale Value (Rs./Unit) Value added by each industry (Rs.) Be d ra B k gi ut ai n sy n d r Fo r l u Min i ut l gn sy l i d r Wh a et A r uue gi lr ct F rless e s etzr,e d i i ec t . C e cl dsy h mi i ut an r Total 38 V l o o tu=2 a e fu t 0 u p V l o i o =2 . a e f c me 0 u n C mp r ts i tod fi n o G P o ae h wt w eit s f D . i h ni o T i s o i l e iG P h g nt c d dn D : n nu S cn hn g o s eod ad o d P bc raet nfr ame t u l/ i t r s p y n ip v a e s P rlfa c la s co s ue i ni t na t n yn a r i Ieme it g o s n r dae o d t I in o /te s rd c gg o s n s rc s u iet c ut n a c s i n po ui o d a d ev e o td h o n y d ci z n i s e r N nmak t a s co s h ue o a dvl trw r) o - re t na t n (o s h l n o n y ok r i d ua I g lui s a ti. l ab s e s cvy l e n it T reMeh d o Me sr gN t n l u u he t s f a ui ai aO t t o n o p: 20 20 1 1 1 6 5 5 1 1 5 5 2 0 9 9 Income Generated\nI o R c i dA po c: a tr c meo F c r h r Meh d n me e ev c e p ra hF c I o on r a t S ae t . o o Y=Y +Y +Y+YR +YD i E p n ir A po c: xe dt e p ra h u Y=C+I G+XM + A ge aeD ma d g rg t e n . V l o Po ut p ra h a e f rd cA po c: u Y=P Q +P Q +- - P Q -+ n n 1 1 2 2 n = PQ i i i1 = N mi ln R aG P o n ad e l D : a N D : D a cr npi s G P G P tur t r e e c Commodity Q X Y 1 1 P 10 .0 05 . 1992 NGDP 10 .0 05 .0 1.50 Q 2 3 P 2 07 .5 1998 NGDP 40 .0 22 .5 6.25\nWh ca g iN D f m 15 t 62 ? y hnen G P r o .0 o .5 Q a t efc u nt f t i e y Pi efc re f t c e. T oma evl o ai n ew e 9 2a d1 9 , o u D t o s n k adc mp r o sb te n1 9 n 9 8 c mp t i s eG Pa c nt t a pi s c ldR aG P r e ae e l D . c l Commodity X Q (1998) 2 P (1992) 10 .0 RGDP (1998) 20 .0\nT tl oa\nC a g nG P i 9 8d et r ei ra ei l n tdb smai h n ei D n1 9 u opi n e s semi e ye t tg c c i a i n G Pa c ntnpi s ipi o 1 9 . D to s t r e v r e f 9 2 a c z c G PD ftrAueume sr o ilin D elo: s f a l a ue f ft . na o G P =(G P 1 9 =62 = 17 5 D D N D ) 9 8 .5 .8 (G P 1 9 35 R D ) 9 8 .0 =1 9 G Pa cr npi s 9 8 D tur t r e e c 1 9 G Pa c ntnpi s 9 8 D to s t r e a c G P : a ue t ca g ipi s 9 i ra eiN D id et ilin D D Me srsh h n e n r e 7 % n e s n G P s u o na o . e c c ft Oh r a ue o N t n l u uI o t Me srs f ai aO t t c me e o p/ n G P=G P+(a tr ame tf m a ra fc r ame tt a ra ) N D F c p y n r bo d a t p y n o bo d o so o s N P=G PD pe it n D D e rc i ao N P=G PD pe it n N I N D e rc i + FA ao Wh r: ee N I =N t a tr c mef m A ra FA e F c I o r on o bo d =F c r ame tf m a ra fc r ame t a ra . a t p y n r bo d a t p y nt bo d o so o o P I= N U ds iu d C roae S c l e ui o tb t n I n ir t tb e op rt o i S cryC n iuo s a t r i C roaeT xs Ta s r ame t+P ro aIee t c me op rt ae + rnf P y n e s es n l trsI o . n n P I P P ro aT xs n N nT x ame t D = I es n lae a d o -a P y n . s P I N t n l c me C = ai aI o o n T tl o u t n oaP p li ao P rh s gp w r ai: oc mp r pi s n e o o e uca i o e p ryT o ae r e a d c n mis n t c : P : mo no ac r ib se o b s g o s P P A ut f et n a k t f a i o d a c w i c n eb u hit gvn o n y i h h a b o g t h i c ut wt c n e e r h i mo e. t ny s : s f fr o ai df rne ili U eu o c mp r g i e c snin l n f e vg s n ad b te n ain. t d rs ew e n t s a o T erli vrin f P : h e te es o P P av o S=P 1 P 2 Wh r: ee S=E ca g rt o cr ny t cr ny xh n e ae fur c 1 o ur c 2 e e P =C so g o Xwtcr ny o t f o d i ur c 1 h e 1 P =C so g o Xicr ny . o t f o d n ur c 2 e 2\n~1 ~ 0\nU e o N t n l c meD t: s s f ai aI o o n aa E oo c l n g c n mip ni a n N t n lno : ni i tr f c n mi rwh F ci tsc mp r o ai a i me A n c o o e o o cgo t o c da a iae o ai n l t s oe t . vri me T c mp t t etn fN I:A me sr o o o u h x to FA e e e a ue fmo iyo e o re , bl frs uc s i t e p c l hma rs uc a dc ptl s e il u n e o re n a i . ay a D tr n grgo ads ai s nh b s o p r a i i o . eemin e in li ri o t a i f e c pt n me i p t e e s a c Me sr o e o o c eae a ue f c n miw lr. f Df uisnh Me srme t f ain l c me icl it f t i e e a ue no N t aI o : o n N n mo ei dt na t n o n te r s co s z a i E : a lme esno e ima a e no t ifmi b s e s xF mi y mb r i l d n n g me t f era l ui s vv h y n : atr Br e : ev e o h uema es S rc s fo s i k r. U og n e S c rE : h s w od n t a i o tx n ra i d e t : xT o e h o o p yn me a. z o c I d q aed t. n e u t aa a Muil s uc so no :S l yi o ,po et no ,df u o l e o re fi me a r n me rp r c me icl t p c a c yi f tt i c lcd t. oe t aa l I g l r o e o o c cvisi du t dn . l af ms f c n mia ti le rg r i l e o it k e a g T ec s o e vo me tl ouo n e rd t nn t u s a tdf m h o t f ni n n p lt na dd ga ai o sb t c r a li o r e r o G P D . G Pa F c r o t n G Pa Mak t r e D t a t C sa d D t re Pi : o c G Pa fc r o t D t t cs ao =G Pa Mak t r e I i cT xs S b iis D t re Pi s n r t ae + u s e c de d G Pa mak t r e =? D t re pi s c 5.C Macroeconomic Models: Two, Three and Four Sector Models: Dv ee o o iofu s c r: id c n myn o r e t s i t o H ue o s c r C oshl et : d o B s e s e tr I ui s s c : n o G vrme te tr G oen ns c : o\n~1 ~ 1\nF rinrd s c r X&M. oeg t e e t : a o T oS c r co c n miMo e w e t Ma re o o c d l o : A smpin: su t s o O ltos c r: o s h la dB s e s e tr n w e t sH ue o n ui s S c s y o d n o I e t na e d gvn n s v me t l a y i . r e\nT eMo e h dl : Y=C+I C=a+b Y II =o Y=NI . C=C nu r xe dt e o sme ep n ir u I I e t nep n ir, d p n e t furni o (egvn =n s v me t xe dt e i e e d no cr t c me i i ) u n e n . e I I o O V l o o tu=A a e fu t D u p E o e o s aib : V l gvn xg n u vr l I a e i ae: u e E d g n u V r b sY&C V l sob d tr n d n o e o s ai l : ae : a e t e eemi . u e C nu t n uco : o smpi F nt n o i C=fY () C=a+b : i a f co Y Ln ru t n e ni Mah mai l: t e tay cl a=iec p n re t t b=s p le o II =o Y - - - - -() ---- 1 - - - - -() ---- 2 - - - - -() ---- 3\nE o o cn rrtt n c n miiepeai : t o C=a w e Y=o , hn t mimu a ut fo sme ep n ir, vn h n a i h n m mo no c nu r xe dt e ee w e s e i u\nY=0 b=MP =ca g iCp r n o ca g iY=C C h n e n e ui fh n e n t Y d =b c d Y o<b<1 N mei lxmp : =5 +08Y iepeain u r aea l C 0 . , trrtt ? c e n o MP ? S C nu t n e n i ra e wtt l eo i o . o smpi d ma d n e s s i h e lf c me o c h e v n C=a+b Y\nI o () n me Y c E uir m i o : D=A q i i n me A l u c b S CI , Y=C+I C+I D ( ) A C I o a O Y() E Fg E uir m I o ud r w S c r d l i: q i i n me n e T o e t Mo e l u c b o . I e t nI o Muilr n s v me t n me l i : c t e p =K=R t o ca g ii o t ca g ii e t n Y ai fh n e nn me o h n e nn s o c v me t . I I C a g ii e t nep n ir = h n e nn s v me t xe dt e u Y=C r s o dn ca g ii o or p n i h n e nn me e g c T eI a t f h n eiIn () h mp co C a g n o Y E: Da rmaiR peain iga t e rtt c o C I & YC I =+ E C IA 2,> + (D )I I 1 1 1 0\n~1 ~ 3\nC I(D ) + A 1 0 E 1\nI et n a n s v me t , s uc o o re f ca g iY hnen . A 2>A 1 s c D D ,i e n I>I 1 0 Y\nYE () YE () Fg C a g ie uir m I o wtca g iIn e T oS c r d l i: h n e n q i i n me i h n e n ud r w e t Mo e l u c b h o . T reS c r d l he e t Mo e o : Y=C+I G + G=G vrme t xe dt e oen nE p n ir. u E uir m I o : q i i n me l u c b V l o Y=A . ae f u D A S CIG , & E 2 C IA 1 + (D ) o E 1 G o CI + o O YE1 () YE2 () Y C I G (D ) + + oA 2 o\nFg E uir m I o ud r he S c r d l i: q i i n me n e T re e t Mo e l u c b o . C a g ie uir m i o wtca g iG h n e n q i i n me i h n e n : l u c b h Da rmmaiR pe e tt n iga t e rs n i : c ao A S CIG , & C I G (D ) + + 1A 2 o C I G (D ) + + oA 1 o\nG >G 1 0\n~1 ~ 4\nG O YE () YE1 () Y\nFg I a t fh n eiG k e i C&Io s n i: mp co ca g n ,e pn g c nt t a.\nF uS c r d l o r e t Mo e o : Y=C+I G+( M) + X =C+I G+N + X A ti: rwda rm t rpe e t q i r m i o . cvyD a iga o e rs ne ui i n me it l u c b A ti: rwt e da rmsorpe e th n eie uir m i o d e cvyD a h e iga t e rs nca g n q i i n me u it r l u c b t ca g iN : o hnen X Wh n Xin g te e N s e ai v Wh n Xip si e N s oi e t v Wh n X=O eN . 5.D Commodity (Goods) Market and Money Market Analysis. T omanmak t nMa re o o cS s m c mmo i r o d w i resi co c n mi yt e o dt g o smak t n yo re a d Mo e Mak t n y re. C mmo i o dt yMak tE uir m:V l o ain l u u V l o p n i b re q i i l u b a e fn t a o t t= a e fs e dn y u o p u g f co as c r (D . u t n le t s A ) ni o Mo e n yMak t q i r m: e n o ra mo e a ne re E ui i D ma dfre l n yb l c s=S p l fe l n y l u b a up yo ra mo e b l c s Me n go rab l c s a ne a a i fe la ne . n a C mp sin f n y tc (ae) o o i o Mo e So k L tr t o . C mmo i Mak t E uir m C r ( - uv) a d Mo e Mak t o dt y re q i i l u b uv I C r e S e n ny re E uir m C r ( M C r ) i ln o s E uir m i b t t qi i l u b uv L e uv :Smua e u q i i n oh h e t l u b e Mak t res . * I S O Y Y * O tu(c me u tI o ) p n\n~1 ~ 5\n=E uir m rt o iee t * q i i ae f trs l u b n Y =E uir m o tui o . * q i i u t c me l u b p/ n\nI C r S i r a dL C r S i r: S uv ht s n M e f e uv ht s e f e I C r S i r: RC S uv ht sO e f e I a dT: j o e , n xMa r n s G o A nra ei , u oo t scep c t n f ui s i ni e s nId et pi t xe t i so b s e sfms c mii ao n r RW. i I C r ( 1 .A d ce s i I u t p si sc . S n S uv I ) e S e ra e n ,d e o e s t mii ep c t n o b s e si L iIC( 2 . xe t i s f ui s fms ao n r WS nS I ) S * * * * * * E 2 E 1 E 3 I1 S I0 S I2 S O Y* Y Y* * * * * O s r : htip is f q i r m a dca g sn a dY b ev S i n on o e ui i n h n e i n . e f s t l u b A i ra ed ce s iGa n : nn e s /e ra e n l e c o R L siiI C r W/W ht S uv fn e C a g sn a dY h n e i n . D a Da rms rw iga A i ra ed ce s iT a n : nn e s /e ra e n x l e c o L R si iI C r W/W ht nS uv f s e C a g sn a dY h n e i n . D a Da rms rw iga L C r S i : nnra eD ce s iSo k f n y M uv ht A I e s /e ra e n tc o Mo e e f s c A i ra eis c o mo e a n nn e s n t k f n y l e c o o R WSiL n MC\n~1 ~ 6\nAd ce s is c o mo e a n e ra e n t k f n y l e o o L iL WS n MC\nL2 M E 3 * * * * * * E 1 E 2 I0 S O Y*Y Y* * * * O s r : htip is f q i r m a dca g sn a dY b ev S i n on o e ui i n h n e i n . e f s t l u b C a g sn oh i aa dMo eay oc s h n e ib tFs ln c n trP li . ie L0 M L1 M E 1 * E 2 I1 S I0 S O Y Y Y * * Fg E p nin rFPa dM P i: xa s ay o n L1 M L0 M * * * I1 S I0 S O Y\n~1 ~ 7\nL0 M L1 M\nY * Fg E p nin rFSa dc n a t n rM P i: xa s ay o n o t co ay r i\n5.E Unemployment: U e l me tT esu t nw eet es n h r b ow r n in o n mp y n h iai h r h o : t o ep ro sw oaea l et oka dwl gt l i w r, ios cr w r w i gvsh m i o o me n o leh o . okf l e ue ok h h i t at c e e n me r a s fvlo d c i i T o ew oaef t okb t on t a tow r n e c on t cvls e w r h s h r i ow r u d o w n t oka dh ned o a te e k ok t i y aen t c d da n t ue l e p ro . r o i l e mo g h n mp yd es n nu e o Me srme t fn mp y n C tg r s f ep p lin a ue no ue l me t ae oi o t o u t : o : e h ao E le mp yd o U e l e , ul k gfr j n mp yd b t o i o ao o o n b L b u fre Almp yda due l e , ul k gfr b a o roc : l e l e n n mp yd b t o i o j o o o n o N t l o roc ,o e l e ,o l k gfr ok o i a u fre n t mp yd n t o i o w r. n b o o n U e l me t ae n mp y nR t: o U =N mb r n mp yd X 1 0 R u eU e l e o 0 L b u F re a o r oc L b u F reP rc ain ae a o r oc ati t R t: ip o LP = FR Tp s f . : ye o U E V l trU E o n y .: ua L c o wl g e soa c p t aal lj s a k f in n s t ce t e vib o l i h ae b Moeo ap yh l i lrb m t n n c n mipo l r f sco gc po l h a e o o c rb m. o a e a e I o n rU E n l ty . : vu a L c oj s ak f b o O cr d r gt p r do e o o c e rsin cus ui h ei f c n mid pe s n e o o As c ldccc l . o d pe s n rU E l ae ylaU E r e rsi ay . . o l i o D finy f D C ueo ts i o U E eie c o A : a s f ik d f . . c h n Kn s f vl trU E i oI o n y . : d n ua Src rl . : t t aU E uu D finy ftc o c ptl rlinon e s f rwn l o roc eie c o s k fa i i e t t e d o go i a u fre c o a n ao g b C ptl r t na s e i aal iy f b u fre a i f mai l b h d vibl o l o roc . ao o g n a i a t L b u F re a o r oc A u P p lin dl o u t t ao X 10 0\n~1 ~ 8\nC cc lU e l me t u t fc ain i e o o c a ti le yla n mp y n i o :D e o l t t s n c n mi cvy i uu o it k rc sin ees . o C rn U e l me t es tnfaueleiud ree p dc ute . ho i n mp y n P rie t t i n n ed vl e o n is c o : s e r k o r S a o aU E e snl . : S a o a caa tr f eti rd co cvislea r uue r e e s n l h rc o c r npo ut na ti i gi lr,i e a i it k e ct c mi ec l t l . s N tuie t ok vib d r gs c s a o . o sf inw r aal l ui l k e s n f c ae n a Fiin l . : r t aU E co O t f okd et l k f efcmo iy f ok r uo w r, u oa o p r t bl o w res c e i t As c ldue l me t ew e j s l ae n mp y nb te no o l o b D et e lei o u od cn ns mea ti sa dep nino s meoh r cvis i cvi n xa s it e o fo t a ti . e it e E : at r p tV sema es xE r en o / e s l k r h O t f ok u t s i s n l k u . uo w r d e o tk a do o t re c s Ds u e U Eo ud rmp y n i i d . r n ee l me t gs o : C mmo ioep p le c ute o nn vro u td o n is a r L wzr magn lrd cvy f b u o / o ri po uti o l o r e a it a U d rmp y nd et ud ree p n n ee l me t u o n ed vl me t o o E : a o roc iA r uue N t l e l e . xL b u fre n gi lr: o fl mp yd ct uy o T cn l i l n mp y n L b u s v gtcn l is e ho gc U e l me t a o r ai e ho ge . o a o : n o C ue o U e l me t I i: a s s f n mp y ni n a o n d So rt o e o o c rwh l ae f c n migo t w I ut n sy d r A r uue gi lr. ct Hg go trt o p p lin ih rwh ae f o u t ao R pdi ra eiw r fred et p p lin rwh a i n e s n okoc u o o u t go t c ao C oc o i p rpit tcn l y h i f a po r e e ho g e n a o D fcv e uain ytm ee te d c t ss i o e L resa rrlra mirt n ag c l uaub n gai e o U d r ulain f c n mirs uc s n e tzt o e o o c e o re i o i L c o po e ma p w r l n g a k f rp r n o e p ni a n P vr a ditrc. oet n lea y y l i Me srsocr U e l me t a ue t ue n mp y n o : I utazt n n s ilai d ri o I ra emo iy f b u n es c bl o l o r i a t\n~1 ~ 9\nDvri ain f gi lr a drrlc n my i si t o a r uue n uae o o e f o c ct Efcv ma p w r l n g f te n o e p ni ei a n U e l me t srnesh me O lap l teme sr. n mp y ni ua c ce : n o n y ai i l v a a ue D e UEafcG P : e a O uL w o s . f t D ? R c l kn a . e l s 5.F Inflation: Kinds, Causes and Remedies: T eC ne t h o c ps : Ilin P rie t e ea r ei r el e o p rie ta i uca i na o : es tn g n rli npi e l r es tn flnp rh s g ft s s c v s l n p w r f ny o e o mo e. R t f ft n T ep re tg h n ei vrlee o pi s R c l aeo Ili : h ec n eca g noea l l f r e . na o a lv c e a: l = H p rIlin R t fnainec e s5 % p r n .n1 2 ,i n ye na o : aeo il o xe d 0 e mo t I 9 3 r ei ft ft h s pi b 5 0 p r n iG r n. r e y 0 % e mo t n ema y c h D ft n P rie ta i r el e o p rie ti np rh s gp w r eli : es tn flnpi e l r es tn r ei uca i o e ao s l c v s s n o mo e. f ny C e pn nain As g iiilin E c ua i ofs r rwho re i ft : i l gtna o gIl o n ed ft no rgn gt a t go t f e o tu u t p. G lpn nain D u l rrb iirtsp r nu s yrm2 % t ao i ft : o b l gIl o eo t l gtae e a nm a f e ed o 0 o 1 0 p r nu 0 % e a nm. Sa ft n o i t n o ih a d a c l ai ilin a d h h tgli :C mbn i ao a o fh g n ce rtg na o n i e n ft g ue l me t n l G P n mp y na do D . o w C ue a dKn s f ft n a s s n i o Ili : d na o Ma g t e eae et rrm d ma do sp ls eo b t y e g n rtd ie f h o e n r u p i r oh y d . O h e n ie D et vibl f r nt ed ma ds : u oaal iyo moemo e no d a i t n yi me(xe dt e fr c ep n ir)o a u gvn o meo o tu i vl e u fu t p. O t u p s e D et a e uhpoi uh n u p so k ( edo g t n i nh p l i : u ow g p s, rf s a dsp l h cs l ru ha dol es y d t p y i k pi h eb O E ) re i y P C. c k Pi ep c t n a o c n iu fr ilin ih r t e scy o r e r e xe t i s l c ao s o tb t o na o :Hg e h l ti fpi r e ft e a it c ep c t n, re t magn l t o ilin xe t i sl g rh ao a e ri r e f ft . aa na o D ma dP lnain e n u Il o : l ft A >A D S P u t ec s d ma d d e o xe s e n\n~2 ~ 0\nA i ra eiA : u t GC o I nn e s n D D e o , r c Ada rmmairpe e tt n f PI iga t e rs n i o D c ao : P A S P 2 P 1 A 1 D A 0 D O Y F O tu u t p Y\nO s r tos g n o A cr : b ev w e me t f S uv e s e Frte me t v rlinh b te n u u() n pi l e i s g n +e e t si ew e o t tY a d r ee l s : ao p p c v S c n s g n V rc l Scr e o d e me t etaA uv : i e F l mp y nl eo o tu(F u e l me t vlf u tY) l o e p S i nA t ih s e(D )( u oa nra ei G o o hti D or t i A 1 D et ni e s n f g d c : rI r d ce s iT) Prm P t P . e ra e n x f o 1o 2 Mo eai v wo DPI n tr ti f s e : M > M A P D P S P D S p lo ramo e b l c s D ma dfre l n y a ne . u p fe l n y a ne > e n o ramo e b l c s y a a Mi n r d n l Fi ma : t o e ft ni lasa deeyw eeamo eayp e o n n Ic nb Ili sa y n vr h r na o w n tr h n me o .t a e po ue n yamoerpdi ra ei h u nto mo e t ni rd c do l yb r a i n e s nt c eq a t f n yh n i y a o tu . u t p C sP s Ilin o t uhna o : ft N nra ei D slP h nw g aewt u a yc r s o dn nra ei oi e s nA , t w e a ert c i l io t n or p n i ce s n h e gi po uti. rd cvy it Wa ep s ilin g uhna o . ft A ge s ei ra eiw g rts n o maeilr e . g rsi n e s n a e ae a d r tr pi s v c a c Da rmmairpe e tt n f o t uhnain iga t e rs n i o C s p s il o : c ao ft P A1 S A0 S\n~2 ~ 1\nP* * P * A 0 D Y Y*Y O tu * * u t p\nPoip s nainud r n p lt n lo oscmak t iain c s p s rf uhil o n e mo o osca dog p lt t ft ii i ii re su t s o t uh t o ilin cus u t n nw g fc r a o na o o cr d e o o -a e a t s l . ft o s Efc o Ilin f t f ft : e s na o Eo in fe l c meo p rh s gp w r rs o rai o o n r uca i o e n Efc o d bos n ce i r f t n e tr a d rdt s es o Efc o fe i o go p(e s n r) f t ni d n me ru p ni es es x c o Efc o w ah o es fa hd p ss t f t n e l h l r o c s, e o i ec es t d t Efc o g vrme ti o :A i ra e i a no b t es n l n f t n oen n n me n n e s ntxi me es c c c ohp ro a a d c roaei o txs op rt n me ae c Ilin n l o r rd cvyIlin L b u urs L wl o r rd cvy na o a da u po uti: ft a o r ne t o a u po uti ft b it na o b it Ilin n Mak tg na o a d rei : ft n C nu r, e o n moes ni et r eipi o smesb c mi g r e si o i n r e t v s c Ard c drt o go tirad ma dfr o d a ds rc s e ue ae f rwhn e le n o g o s n ev e i Asiiep n ir a a f m n ne s nag o s n s rc s ht xe dt e w yr o -se t lo d a d ev e . fn u o i i Ilin n iee tae Ilin Hg rt o iee t na o a d n rsrt: ft ih ae f trs ft t na o n . C n oo Ilin o t lf ft : r na o Mo eay oc: s a krt oc, p nmak t p rt n,a h e ev ai n n tr P lyU eb n aep lyo e i i re o eai sc s rs r t d o er oa s l tece i o t lt c n oilin e cv rdt n o o o t l ft . ei c rs r na o C e i q e z. rdt u ee S FsaP lyR d c gB d e D fi i l oc: e ui u g t eit c i n c G T x I o P lyWa eC n o n me oc: g o t l c i r Pi C n o o e s nac mmo i s r e o t l f se t lo c r: i dt i e I ra eulain f rd cv c p bl t ri AS n e s tzt o po ute a a iyo as c i o i i i t e E l g i ott t eoe sotg o s mec mmo is n re mp r o i vr h r e fo a s d a o de Al e eme srsobig t g pb te n Sa dA . lh s t a ue t r e h a ew e A n P d e I eain Ma ea j t n nmo eayrt n oof to s si e l n xt : k d s d o u me t si n tr eu st fe l e nra r s s i o d et ilin I ei ird c diBaio w g s t) n me u o na o (d x g n o ue n rz fr a e ec . c ft n n t l .\n~2 ~ 2\nS meR linh s o e t si : ao p Ilin n iee tae na o a d n rsrt ft t R aiee tae( =N mi l trsrt Ilin ae e l trsrt i o n iee tae na o rt n ) an ft i R= N mi l trsrt () R aiee tae( +Ilin ae( ) o n iee tae R = e l trsrt i na o rt an n ) ft R=i + A j t no Rt ds u me t f o R Ilin n U e l me t e a P ip C r na o a d n mp y n R c l hls uv ft o : l l i e Ilin n R D a dN D na o a d G P n G P ft Ilin n E ca g R t. na o a d xh n e ae ft C I n WP, n G P : P, d I d D D a a C I vme t f eg tdpi s f o d a ds rc s o g t y P: e no w ih Mo e r e o g o s n ev e b u hb c i c nu r a rtiee o smes teal vl l . : n xmp : A Ea l e A sme C nu r b yhe c mmo i s ifo , su : o sme u t e o s r dt v o d i z e see/oh ga dme i r. h lr l i n t c tn dc e a : 0 o i o o see/oh g 5 % f c me n h lr l i n t c tn : 0 me i t 3% dc e a : 0 fo . 2% od C I r a eya:S y 9 9 P f b s e r(a 1 9 ) o C I (.0X1 0 +(.0X1 0 +(.0X1 0 =1 0 P = 05 0 ) 03 0 ) 02 0) 0. D r g2 0 , t o pi s i b : % 1 2 ui 0 0 l f d r e r e y 2 n eo c s 0 D r g2 0 , th lr lh gr eb : % 1 6 ui 0 0 l see/o i i y 6 n e t c tn s 0 D r g2 0 , t dc r pi s i b : 0 ui 0 0 l me i e r e r e y 1 % 1 0 n e a c s 1. ( P) 0 0=(.0X1 6 +(.0X1 0 +(.0X1 2 =1 64 C I 0 2 05 0 ) 03 1 ) 02 0) 0. =1 641 0=64 0. 0 . 10 0 10 0 ( P) urn Y a ( P) a eY a C IC r t e r C IB s e rX e ( P) a eY a C I s er B\nWP: vme t f h l a r e i IMoe n o w o s l i swt e ep c hawd r a k tnl i h s f ie b se i u n o eo c d gt rwmaeila ds mi fi e g o s a tr s n e is d o d . a nh G P : a ue ca g snh pi s fn lo d a ds rc s D D Me srs h n e it r e o fag o s n ev e e c i i po ue iac ut. rd c d n o n y r : o s es a k t f o d a ds rc s rd c deey e r C ni r b se o g o s n ev e po ue vrya. d i\nPrice Indices A Comparison Price Index (1) C nu r Pi o sme re c Ie n x d Basis (2) pq 1 0 pq 0 0 pq 1 0 pq 0 0 Wh l a o sl e e Prices (3) R ti eal Basket (4) C nu t n o smpi o g o sa ds rc . o d n ev e i I ue i ot n c smp r d s L re b se o ag r a k t f gos i l i o d, n u n cd g ieme it n r dae t gos B t n o d. u o s rc s ev e i Al d me tay l o sc l i l po ue rd c d fa il n gos od ad n s rc s ev e . i\nWh l a o sl e e Ie n x d\nPi re c\nG PD ftr D elo a\npq 1 1 pq 0 1\nR ti eal\n~2 ~ 4\nMonetary and Fiscal Policy: Instruments and Impacts.\nMonetary Policy: A t nb C n a B n R It e u t e n o a dsp lo mo e a dt l co y e t l a k(B)org led ma dfr n u p f n y n h o i r a y efw o ce ioa h v ma re o o c o l frdt ci e co c n mig a . t e s Objectives of M.P: G Pgo t D rwh E l me t e eain mp y ng n rt o o Pi Sa iy r e tbl c i t B l c o p y n e uir m. a ne f ame t q i i a s l u b Scope of Monetary Policy: Mo ei t n f ee o o : l c n mit na t n t ec re uwt n tai o t c n myAl o o cr s co sob ar do t i z o h e a i i h mo e. ny Il neG P po ut n c nu t n s v g i e t n e l me t nu c D , rd co , o smpi , ai ,n s fe i o n v me t mp y n , o , a dep r a di ot n xot n mp r . s s D vl me t fn nil res ee p no fa c mak t o i a . Instruments of Monetary Policy: Q a tv I t me t u nten r n i i su s Q atteS l tece i o t l u l i /e cv rdt n o . i v a ei c rs Quantitive Instruments: Bank Rate or Discount Rate: R t t h hC n a B n e d aea w i c e t l a kl smo e ot r n n yt h o eC mmec l a k n ri B nsa d a rdso n t bl o eca g pe e tdb t C mmec l a k e i ut h i f xh n e rs n c s e l s e yh o e ri B n. a R t i h hC n aB n cag s nh o n a da vne ma et aewt i e t l a k h re o t a s n da c s d o hw c r el t C mmec l a k. h o e ri B ns a Q e t nWh n o sh CBi ra eBRa dd ce s BR u so : e d e t . n e s . n e ra e .? i e c Wh to d e i a t rg le a fw o st nt e u t? l w o a 1 9 :1 9 11 %\n~2 ~ 5\nJn 0 96 a 2 0 : %. Cash Reserve Ratio (CRR): Statutory Reserve Ratio (SRR). % o ttl e o i h hc mmec l a k r e u e oman i n foa d p ssw i o t c ri b nsaerq i dt iani a r t t fr o c s rs r wtt C n aB n L g l bn i . h om fa h e ev i h e t l a k e ay i n e e h e r l dg Wh C R : y R? T cno o o t lmo e u p yca gn C R r n ysp l yb h n i g R E p nin r n xa s aya d o c n a t n rM.. o t co ay P r i T rvn fa c l r i nt a k gs c ric s e n y opee ti ni cisi h n a s eb ni e t ,f a hd ma db n o d p soss e v fr o ra o . e o i r ih ayo s me e s n t 1 9 9 : 5 9 4 51 % Jl2 0 : .5 u 0 8 87 %. y Open market operations: S la dp rh s o g vrme te ui s n b n sd p n i o a n uca e f oen ns cri a d o d , e e dn n e t e g t n e fr e ra i o i ra i lu i it e o o . h e d o d ce s g rn e s gi i t nh c n my e n c n q dy e I d i nt h s e ea q a t tei t me t R I mp y d i n l na dt ot eg n rl u nt i n r n , B e l sa dt a i o e i v su a s o i o q a t tei t me t u nt i n r n : i v su a s Statutory Liquidity Ratio: SLR T c n oaal iy fn net g vrme t n pi t s c r o o t lvibl o fa c o oen na d rae e t . r a i i t v o C mmec l a k oman i etip re tg f eroad i o ri b nst ianac r n ec n eo t ittlal a t a a h y d ma da dt e n n i med p ssnh omo lu ses uh s xe s e o i it r fq i s tsc a ec s t ef i da rs r s urn co n a ne wt t rb nsa db n so e ev ,cr ta c utb l c i h a k n o d f e e a ho e N B R , ee p nb ns n s o . A A D d vl me t a k a d o n o T pee tt c mmec l a k rm g i frlu ai h i o rvn h o e ri b nsf a o on o i i tgt r g qd n e a s t w e C Riri dt c n omo e sp l ses h n R s as o o t l n y u p . , e r y The Repo Rate and Reverse Repo Rate: R p rh s o eain ae(e oR t) e uca e p rt R t R p ae: o Ird c diA r 1 9 . n o ue n pi 9 7 t l , T ma a et sotu lu i o t b ni ss m. o n g h h rrni i t f e a k g yt e - q dy h n e T ert f trsa w i t B l d mo e t h a k fr h aeo iee t t h hh n c eR I n s n yot e eb nso a sot eido 11 d y. h rp r o f -4 as R vreR p R t: ees e o ae T ert t h ht a k a u t e ui so d p s mo e h aea w i h c eb nsc nb yh cri r e o i n y es t e t wtt R I i h B. h e Q attes l tece i o t l s u n : u l i / e i rdt n oi t me t i v e cv a c r nr s\n~2 ~ 6\nC e i ain g rdt t i ron C a g il dn magn h n e ne i n g ri : B nsa vne l n g i tt mota e o o a k da c o sa an h a s e r g fs mea s t a d g sesl , n b ii , w lr sae s c o g o s n s o . udn j eey h r,t k f o d a d o n l ge l , o T e g p b te n t vl o h mota e po et n a ut h a ew e h a e ft e u e r g d rp r g ya d mo n a vne ic ldl dn magn da c d s ae e i l n g ri . Q e t nL n i magnso o h hw e ? u so : e dn i g riil r i : h n w g T pee tp clinn c rea r uueg o s o rvns e u t isac gi lr o d . ao ct Moasa in rlu s : o P ru dn c mmec lb ns t a vne ce i n a c ra c wt esa i g o ri a k o da c rdti cod ne i a h drcvs f ec n ab n. i te o t e t la k ei h r Drcc n o i to t l e r: I u i co st o s edr t n oc mmec l a k oc r u t il dn cvyi s ei ri b nst ar th re i a yo e n ga ti na it s e i dma n r p ci f e ne. The Limitations and Effectiveness of M.P: Tmel : h i a e ica i ut oc a t ni i l n t n n i a T et g metk nn h ln t ep ly co ,smp me t i a d k go h i i t e ao rs o s t . e p ne i me Po l ifrc sn . rb msnoe a tg e i G o t o o -a k g fa c lieme ir s le mu a ai f d , rwh fn nb ni i ni n r dai i n n a t e k t ls v g u s u n n i ua c c mp n sci a df d , ee p nb ns n s o . n rne o a i ,hs n u sd vl me t a k a d o n s e t n o U d r ee p dmo e a dc ptl res n e d vl e o n y n a i mak t a . Effectiveness of Monetary Policy in India: T epo l o t d -f h rb m f a eof e r : G o tv pi s bl rwh s r e t iy c a i t G o tn e siu i rwh e d l i t q dy Pi s bl n e s o t lvrq ii r e t iy e d c n ooe lu t c a i t r i dy Pi s bl a t d mi no j teo MP Pi s bl a 4 rt o r e t iy sh o n t b cv f . r e t iy t % ae f c a i t e a ei c a i t ilin e a nm. uirat na o p r nu B t e l ? ft n i y Mo eay oc iI i: n trp lynn a i d F i sce s l b l c gt o j te o go ta ds bl . ar uc sf i a ni h b cvs f rwh n t iy l y un a n e e i a i t Fiscal Policy: Fs me n s t t a uy i c a s t e r sr a e .\n~2 ~ 7\nFsa p ly h n e nt l e a d p t r f oen n ep n ir, i l oc:C a g si h e l n at no g vrme t xe dt e c i e v e u i o ( xt n, n b r wn . n me t ai )a d or i c a o o g Fsai t me t i l su n : c nr s B d eay oc: eit r up s r a ne b d e u g trp lyD fi srl o b l c d u g t i co u a G vrme t xe dt e oen nep n ir u T xt n aai o P bc b r wn : Ien l a d etra Wol B n, I , F rin u l or i i o g n ra n x n l( r t e d a k MF oeg G vrme t n Mak t orwn ) oen na d re B r i . o g Tp s f ae : i c I i c Po rsi , rp ro aa dR ge s e ye o T xsDr tn r t rge s e Po ot n ln e rsi . e , de , v i v T re vr b s ag tai l : ae Pi t ds o a li o rae i s b n me v p e c Pi t c nu t n xe dt e rae o smpi ep n ir v o u Pi t s v g a di e t n rae ai s n n s v n v me t E p r a di ot xot n mp r s s Pi l e r ee l c v. Fsap ly n ma re o o c o l i loc a d co c n mig a : c i s FPa dE o o c rwh . n c n miG o t Mo i ain fe o re t o g txt n bl t o rs uc sh u haai i o z r o R s uc mo i ainho g p bc orwn s e o re bl t t u h u l b r i i o r z i o g FPfr mp y ng n rt n . o e l me t e eai o o FPfr c n mis blain . o eoo c t i t a i o z E : t l p ca ed r gg b lc n micis xSi u a k g ui l ae o o c r i mu s n o s. FPfr c n mie u l . o e o o c q at i y FPfroeg eca g e ri s n b l c o p y n . . o frin xh n e an g a d a ne f ame t n a s Lmi t n o FP i t i s f .: ao R lb frc s o tre vr b sDf u ea l oe a t nag tai l : icl i e s ae f t i Tmel : ew e d c in n ee uo i a B te n e io a d xct n g s i U d ree p dn t eo t e o o : n ed vl e au f e c n my o r h S l rp ro o p p linnaa li o go p ma po ot n f o u t itxb n me ru s l i ao e c N nmo ei ds c r o - n te e t s o C r pin or t u o E c si b r wn b G vrme tn va l D b Ta . xe s e or i y oen n I i b ? e t rp v o g :e t e T rg le fc lma a e n ft e o o :Fsa R s o s iya d o eu t i a a s n g me to h c n my i l e p ni l n e c bi t B d eay n g me t co 2 0 : u g trMa a e nA t f 0 3 3 o G Pa t u p rmi fsad fiob a h vdb 2 0 -9 B t % f D sh p e l t fc leit e ci e y 0 80 . u e i oi ct e ?\n~2 ~ 8\nMoney supply and Interest Rate, and Interest Rate and Inflation.\nMoney and National Output/Income (Y): T e rm 1 Mo e d e n t f cYa di f c o lP h oe : n y o s o af t n t f t n . e ae s y Hn C n o poetsh oe ui vrc l S ? i: a yu rv h t rm s g etaA C t i e n i T e rm 2 Mo e afc Yv iee tae( h oe : n y f t i n rsrt i es a t ) Mo e So k n y tc i A D i C I G A . D A D Y=C I +G + C I ai +G t + 1 C I ai i + G t= 0 + N t: <i oe i 0 1 40 5 O Y Y\nA si u d et ca g ii D ht p u o h n e n f s Yca g s u t ca g iA hne deo hnen D A is ni et I Mo e s c il ne i Da dY D s e si o t v n y t knu c s, o fe A n . Evolution of Money: B r r ytm at S s e e MeaiMo e tl l c ny P p r ny a e Mo e C e i n yE . rdtad (l t mo e)ce u s c ldn a mo e rdt e: xC e i rs Pa i n y h q e ae e r n y Mo c sc , l Ee t n Mo e: mo e. l r i n ye co c ny Functions of Money: Me i o eca g du f xh n e m Me sr o vl a ue fa e u Soeo vl : big f m t pe e t t fue tr fa e A r e r h rs nt h u r. u d o e o e t Sa d r o eerd p y n :L a s o t ad mo i c ne t n,w g s tn ad fd fr e ame t o n,p s p i s bl o n co s a e , e i e c itbl a ds o . l tcy i n o n e ri l s Demand for Money:\n~2 ~ 9\nDfre l n y a ne o ramo e b l c s a\nR =M MB P M =So k fo n l n y tc o n mi mo e a P=G n rlr el e e eapi e l c v. DF nt no R : uco fr MB i D MB= (, . R Yi ) A ti: a it n t eo rlinh ?D a Da rms cvyWh t h au fe t si rw iga . it s e r ao p Three motives of D for M: Ta s co Moi : rna t n te i v Mo e n e e fr o smes n po ueso t na t n. n y e d d o c nu r a d rd c r frr s co s a i Pe a t n rmoi : ome tn rs e ee t(xScn s) rc uo ay te T i v e uf e e n vn E . i e s. o s k S e u teMoi : n yn e e o ma i an rm s e u t no p cli av te Mo e e d dfr k gg i o p cli n v n sf ao fuevl o b n s n s cris u r a e f o d a d e ui . t u t e Mo e d ma d A afw(a s co moi )a da as c (rc uo ay n y e n : s l t na t n te, n s t k pe a t n r o r i v o i moi ) te. v Supply of Money: Two Broad Measures: N r wMo e: iu a s tlecr ny n d ma dd p ss ar o n yLq i sesi ur c a d e n e o i. d k e t Bo dMo e: e siu a s tletr d p ss i b ns ra n yL s l i sesi em e o i wt a k. qd k t h Measures of Money Supply Aggregates: M1 =C r ny i u l +D ma dD p ss i B ns T emo tq i ur c wt bc e n e o i wt a k. h e hp i t h slu i d a s to afa c lytm,ae n r wmo e. ses f i ni ss n a e c ld ar l o ny M2=M1+P sofes v gd p ss otf i ai e o i c n t M3=M2+Tmed p ss i b ns t r e o i wtR I c ldbo d i e o i wt a k +oh d p ss i B t h e t h ae ra l mo e. ny M4=M3+Alt r e o i wtp sofe l h d p ss i o t f . oe t h i c M0 =C r nyi i u t n+B ne e o i i e t l a k(B) ur c nc cli e r ao akr sd p sswt n a B n R I+ t hC r t rd p ss i C n aB n c ldrs r mo e. oh e o i wt e t l a k ae e ev e t h r l e ny Money Multiplier: =M3=R t o bo dmo e ( 3 t rs r mo e ( 0 ai f ra o n yM )o e ev e n yM ) M0\n~3 ~ 0\nMonetization of the Economy: M1 GDP Monetary Deepening: M3 GDP Determination of Rate of Interest: Demand for money and rate of interest i\nd m d m Supply of Money: A smpinC ntn su t : o s t o a i S M\nd m O Determination of Rate of Interest i MS S m\ni E d m O Mo e ny\n~3 ~ 1\nMS =MD A ti: a i a t n, MS i ra e o d ce s sD rman gc ntn cvyWh t it mp co if n e s s r e ra e , M e in o s t i c i a? Hn S iiMS cr . i: ht t fn uv e :Wh ti a to i fMD i ra e rd ce s s S rman g a mp c n ,i n e s so e ra e ,M e in c i c ntn os t a? Hn S iiMD cr ? i: ht t fn uv e : aiu vrin o si iMS a dMD a dt i a t n? V r s es s fht n o o f s n n h mp co i e Interest Rate and Inflation: R c l i us n n e l t o iee t n n mi l t o iee t e a ds si o rar e f trsa d o n r e f trs l c o a n aa n . Dsus n i si :Wh th p e st n mi l ae o n rs ui t eido c o a a p n o o n rt fiee td r g h a t n ep r o f p rie ti ig n rlr el ea dp rie t ln e eapi l e es tnr e n e eapi e ln es tnfl g n rlr ee l s s c v s ai c v? : a ra o so w a h p e son mi l t o iee t Wh te s n fr h ta p n t o n r e f trs aa n ?\n~3 ~ 2\nForeign Trade Sector, Balance of Payments and Exchange Rate Determination\nSome Basic Concepts: Balance of Payments: Ass mai e odo e o o ct na t n fh e ie to ac ut wtt e t yt t c r f c n mi r s co so t s n f o n y i h s e cr a i er d s r h er o t w r d r gagvn eido t . f e ol ui h d n i pr e o fme i R c it n ame t na c ut f o d xotd s rc srn ee n a i l e epsa dp y n so co n so g o sep r , ev e e d rda dc pt e i a rc i db h e ie t f o n y a dg o si otd s rc srn ee n e ev e yt ers n d so aC ut, n o d mp r , ev e e d rda d r e i c ptla s r db t rs e to aC ut. a i t nf r yh e i n f o n y a r ee e d s r BP a c utt i i t: /s co n o n c e s da T eien t n lc n mip sin f C ut h n rai ae o o c o i o a o n y t o t o r C a g snh c mp sin n ma nu eo frinrd h n e it o o i a d g id f eg t e e t o t o a T ee o o c e l o t C ut h c n miw ah f e o n y t h r T ma ed c in a o t P FPa dFTp lis o k e io s b uM., . n . oc . s ie Current Account: Ta s co sd et rd ng o sa ds rc s a dt nfr ame t rna t n u ot ei o d n ev e , n r s p y n i a i a e s (i , rn ,e t ne ec gf ga t rmi c s t t s s t a ) Ta eig o s rd n o d Ta eis rc s leb ni ,htg i ua c ec rd n ev e ( i i a k g sin , srne t k n f i n ) Ta s r ame t rnf p y n . e s S rl icr na c ut up sn ur t co n u e : R c it>P y n . e eps ame t s D fin urna c ut eit cr t co n ci e : R c it<P y n . e eps ame t s Capital Account: R c r o p rh s a ds lo a s tsc a s csb n sl dec e od f uca e n a f ses uh s t k, o d , n t e o a . I moe n o o n rh o fa c lses . N vme t f w esi fn ni a s t s p i a . C o sb re rs od rmoe n no n rh f sessc ssae , i c vme t si w esi po a s t uha h rs dr t e i e t n n ot l ne t n (ei e t n i o d io t n n s v me t dp rooi s ,a fi v me t i n s . v me tnb n swt u a y h\n~3 ~ 3\nc n ooe t c mp n) o t lvrh o a y r e . B t D: n g me to t lf ea s t rti d uF I Ma a e nc n oo t se i ean . r h s e The Official Reserve Account: H ln s f rin urnyg l n oo b o i o f eg cr c, o dg o e da ds n y C n aB n o t C ut, n e te nt b r wf m I . e t l a k f e o n ya d ntme t or r MF r h r i l o o o T eB Pij t esm o t s t e a c ut h o su t u f e e h e co n . sh h r s BoP is always in balance: B c uea c utgb s do h o b n y e a s co nn a e nt i ed u l t ee r b o e pn ytm( E K )C e i a dd bt R c ita dp y n o kk e i gss e D B S: rdt n e i s s e eps n ame t s C e i+e D bt v. rdt v, e i: :e Balance of Trade and Balance of Payments: B T Df rneit vl o i ota dep r o g o sVs li ms n . o : i e c nh a e f f e e u mp r n xot f o d : ib t o l s s ie e y B P I l e b tv ila di ib i ms E : o : c d s oh ib n n s l t (x nu s e v ie e Balance of Payment Equilibrium: E u l b te n ame t( l o i ot a drc it( l o ep r ) q at ew e p y n v u f i y s a e mp r ) n e eps v u f xot . s ae s E sr q ato h w b ui h oeg eca g e evs vib nuee u l s me o y s gt rin xh n ers r aal l i y n ef e ae ia yhe a c ut n n t e co n . r s B of P Disequilibrium: D et i a neb te n a eo ep r a di ot u o mb l c ew e vl f xot n mp r a u s s T tl c ito e u l ttlame t oar ep n t q at oap y n e o S rl : oarc it T tlame t up sT tl ep > oap y n u e s : e s f c nen L s o a o c r. D fiT tl c it<T tlame t eit oar eps oap y n c: e s : c nen A o c r. ) .\nCauses of BoP Disequilibrium: Ilin D fiAg o mak t s lb t b dmak t b y M> . na o ft eit o d re t e, ua a c: o l re t u o X D ft n S rl : g o mak t b yb t b dmak t s l X M. eli ao up sA o d re t u, ua a u o re t e o l >\n~3 ~ 4\nSa e o d vl me t tg s f ee p n o : It ltg : X ni s e M> i a a N xs g : > ett e X M a Wi g b lain n e o o c eoms t l as t a d c n mirfr ? h o i o T cn l i l n vt n e ho gc I oai : o an o I oainE p rba e n vt : xot is d n o I oainI ot is d n vt : n o mp rba e . Ds q i r m. i ui i e l u b C cc l i q i r m: ylaDs ui i i e l u b Po p ry rs ei t R c sin ees o D pe s n e rsi o I a t n a dM. mp co X n Oh r a s s t C ue : e C o fir rp ale u R pdgo to p p lin a i rwh f o u t ao A i u d vl me tpo c :H ay i oto q ime t a d mbt s ee p n rj t e v mp r fe u i o o es p n n s ma h ey ci r n . Measures for Correcting BoP Disequilibrium: MPa dF t rd c d ma dfrmp r n P o e ue e n o i ot s C r ny ea ain ur c D vl t : e u o T ma eg o s h a e: o k o d ce p r G o mak t b y u ab dmak t s l o d re t u b t a o , re t e o l X M C r co t B Pds q i r m. > or t no o i ui i ei e l u b Ta eP ly rd oc: i Po t ep r : e ueo a os ep rd t soe c ua eep r rmoe xot R d c r b lh xot ue t no rg xot s i i s Dso rg i ot mp s o as trf rcs m d t s i ot i ua e mp r :I o e rri ai c s e f so ut o ue ,mp r i q oa a dle s t i ot u ts n i ne o mp r c . E ca g C n o xh n e o t l r: G vrme toh v o lec n o oe p rh s n a foeg oen n t aec mp t o t l vr uca ea ds l frin e r eo cr nis ur c . e e E p r r t sr n e a t ifrin xh n ee ri sog vrme t xot so ur d r lh roeg eca g an g t oen n e e le n . N t i ot io tc ne o t mp rwt ule s . o h i\n~3 ~ 5\nR t n go FEt le s di otr . ai i f . oi ne mp r on c es Bt u : N t p r n ns lin o a ema e to t uo R s isoeg t d a dg i f m frinrd . e tc frinr e n an r oeg t e rt a so a B r wn f m a ra . or i r o g o bo d Ibif oc soc r cB P n r : li t or t o D e P ie e MPa dF t c n oa ge aed ma d n P o o t lg rg t e n r E a j t nt o g d vl t n R ds u me t ru h ea ai h u o Ta ers iin rd e tco s rt E ca g c n o xh n e o t l r B r wn f m a ra . or i r o g o bo d\nDetermination of Exchange Rate: ER Pi o aC utcr nynems f n t r o n y cr ny .: r e f o n y ur c itr o a oh C ut ur c. c rs e e rs e T oERS s msFxda dFeilERS s m. w . yt : i e e n l b . yt x e e Fixed E.R System: ERfe b g vrme t c nuain i I . . i d y oen ni o slt wt MF x n to h Mak t . =FxdER re ER i e .. C n aB nsT b y n s lh icr nis t fe rt itr o e t l a k: o u a d e t r ur c a a i d ae nems f r le e e x UD S . Mei o F RS s m: rs f E yt t e ERs bl . t iy a i t E s c ptl vme t u t s b ER a y a i moe n d e o t l .. a , ae D mei e r: t Df uisn e gn ER icl ip g i .. f t i e g Flexible (floating) E.R System: CB t lw ER t d s t q aet u p n e n o frin . oao . oa j toe u t h l u esp l dd ma dfroeg ya cr nis ur c . e e A pe it no d pe it no vl f urnyi emso d ma da d p rc i r e rc i f a eo cr c ntr ao ao u e fe n n sp l up . y C r ny p rc t nMoeep ni itr o frin urny ur c A pe i i : r xe s e nems f eg cr c e ao v o e I a t n a dM. mp co X n C r ny e rc t nL s ep ni itr o frin urny ur c D pe i i : e s xe s e nems f eg cr c e ao v o e\n~3 ~ 6\nI a t n a dM. mp co X n Ce nFo tg C n a B n o t n r n , n lw ER t ef e l a l i : e t l a kn toiev e a dao . ob r l an r t e l ey d tr n d eemi . e Dr l tg C n a B n oiefr ob y n e frincr nist iyFo i : e t l a kt n r et u a ds loeg ur c o t an r te l e e il neER nu c .. fe Determination of E.R under Flexible E.R System: Y 4 7 4 5 4 2 D O X Q at oU D u nt f S i y Fg D tr n t n f Ro U D i: eemi i o E f S ao itr o ` n e FeilE nem f ud r l b R x e S\n1U D=` 5 E uir m E S 4 qi i l u R b 1U D=` 7 S>D U Dsrl it mak t S 4 S up snh u e re 1U D=` 2 D>S U Dsotg it mak t S 4 S h r e nh a e re Mak t re t rs r e uir m E . re f c so e t e q i i R o o l u b Rate of Inflation in India and ER: I i: g o mak t s lb t b dmak t b y n a A o d re t e, ua a d o l re t u. o US Ag o mak t b yb t b dmak t s l .: o d re t u, ua a o re t e. o l I a t nXf m a di otoI i, n nt u p o a dd ma dfr mp c o r o n mp rt n a a do h p l f n e n o d es y U Da do E ? S n n R Whether difference in rate of interest between India and U.S impacts ER? A sme T eeaen rs iin o fwo f d b te nn i a dUS su : h r r o e tco s nl f n s ew e I a n .. rt o u d Does changes in ER influence national output/income via changes in AD?\n~3 ~ 7\n~3 ~ 8\nEcs xe s S pl u py Ecs xe s D ma d e n\nPi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c Pi L vl r e ee c\n~3 ~ 9\nH ue o s oshl d Fr i ms BS Fn nil i c a a Mak t re R t o ca g iIlin ae fh n e nna o ft G o tR t o raG P rwh ae fe l D C nu t n C o smpi ( ) o a o\nR t o iee t ae f trs n Pi o U D re f S c (P r S ) ` eU D\n~4 ~ 0\nE A =A D S\n~4 ~ 1\nDocuments Similar To MACRO ECONOMICS\nReserve Bank of India38.pdf\nPROJECT Management Practical Solution Tybscit Sem 6 STARUML\nSmart Boy Tushar\nSo, Give Me Your Two Cents Worth\nBackground of State Bank of India\nAn Internship Report on National Bank of Pakista1\nClarification Regarding Revised Pension for Pre 1.1.2006 Pensioners\nBanking System in Moldova


Modif voie eau du sacrieur\nPar Mr-chat 25 Juin 2022 - 16:56:40\n0 135 0 25 Juin 2022 - 16:56:40\nPar Kazmery 23 Juin 2022 - 02:34:57\n5 174 0 25 Juin 2022 - 16:35:32\nPar Imorvitar 05 Juin 2022 - 12:08:07\n7 378 0 21 Juin 2022 - 10:00:23\nPar HanDaewi 12 Mai 2022 - 01:11:26\n2 486 0 12 Mai 2022 - 11:06:42\nPar Johnnyzer 09 Septembre 2021 - 03:42:14\n13 2838 1 23 Avril 2022 - 18:13:31\n43 82146 1 28 Mars 2022 - 11:22:38\nClasses cac/tank après refontes\nPar OmReej 23 Février 2022 - 10:07:25\n5 882 0 24 Février 2022 - 20:27:33\nL’état Perfusion bug ou incohérence ?\nPar taz696 12 Février 2022 - 12:13:08\n0 261 4 12 Février 2022 - 12:13:08\nEquilibrage urgent du sacrieur\nPar Mian-miam 26 Octobre 2021 - 02:53:52\n10 1626 2 23 Janvier 2022 - 03:35:14\nSacrieur terre lvl65\nPar maxbenn24 12 Décembre 2021 - 13:03:18\n2 465 0 13 Décembre 2021 - 08:47:49\nSort du Sacrieur\nPar pandH3ppy 22 Octobre 2021 - 12:46:28\n0 447 1 22 Octobre 2021 - 12:46:28\nDuo sacri/SRAM après refonte\nPar nunutrof-anthooo 12 Octobre 2021 - 14:59:34\n0 546 0 12 Octobre 2021 - 14:59:34\nPar Rouba-Vora 17 Septembre 2021 - 20:41:14\n4 1017 1 05 Octobre 2021 - 10:50:00\nPar DeathRocket 23 Septembre 2021 - 08:43:06\n11 765 1 30 Septembre 2021 - 17:32:37\nSort Afflux et soin\nPar Rouba-Vora 17 Septembre 2021 - 14:11:59\n3 516 0 24 Septembre 2021 - 11:35:21\nPano terre 135\nPar staccatine 23 Septembre 2021 - 15:25:43\n2 309 0 23 Septembre 2021 - 18:19:55\nSacrieur chance 160 stuff\nPar sofiane77 14 Septembre 2021 - 21:23:03\n1 417 0 20 Septembre 2021 - 21:16:10\nPar unknwn44 18 Septembre 2021 - 14:04:07\n4 2748 0 18 Septembre 2021 - 16:23:12\nPar Rouba-Vora 17 Septembre 2021 - 20:03:31\n3 291 0 17 Septembre 2021 - 21:51:30\nPar staccatine 12 Septembre 2021 - 19:04:02\n4 726 0 15 Septembre 2021 - 00:09:27\nDagues voie terre\nPar Rouba-Vora 11 Septembre 2021 - 16:44:17\n7 399 0 14 Septembre 2021 - 17:44:22\nPar Rouba-Vora 14 Septembre 2021 - 09:21:54\n0 234 0 14 Septembre 2021 - 09:21:54\nPar Rouba-Vora 12 Septembre 2021 - 18:20:41\n4 729 0 13 Septembre 2021 - 10:04:56\nPar M-U-L-E- 08 Août 2021 - 21:41:05\n0 697 -3 08 Août 2021 - 21:41:05\nJouer le sacri au quotidien\nPar LeDobermann 23 Juin 2021 - 10:15:52\n1 805 0 11 Juillet 2021 - 13:28:11\nStuff PVM TERRE/AIR\nPar --raaaaaaaphM-- 07 Mai 2021 - 23:47:24\n1 690 0 08 Mai 2021 - 01:13:20\n4 3308 1 07 Avril 2021 - 14:43:53\nSacri terre air lvl 145\nPar dedetehk 06 Avril 2021 - 06:59:33\n3 453 0 06 Avril 2021 - 18:20:34\nstuff sacri eau/terre\nPar liamliamli 20 Mars 2021 - 14:47:05\n5 1350 0 27 Mars 2021 - 15:13:16\nSacri débutant et sanglier céleste\nPar OmReej 02 Février 2021 - 13:40:31\n4 619 0 03 Février 2021 - 11:06:35\n5 9162 0 26 Novembre 2020 - 17:08:00\nPar Sanktuaire 19 Novembre 2020 - 00:48:46\n4 1939 0 20 Novembre 2020 - 23:14:20\n6 37673 0 04 Novembre 2020 - 20:07:51\nStuff Sacrieur Terre/Air lvl 140\nPar Spok 02 Novembre 2020 - 01:53:40\n0 1132 0 02 Novembre 2020 - 01:53:40\nAider pour un nouveau\nPar mizokech 09 Octobre 2020 - 14:36:23\n6 829 0 12 Octobre 2020 - 20:46:23\n7 4108 0 21 Septembre 2020 - 23:26:10\n4 1593 -2 07 Juillet 2020 - 08:56:28\nPar swiz422 13 Mai 2020 - 00:15:33\n7 3377 0 11 Juin 2020 - 09:14:18\nPar naminakez 30 Mai 2020 - 20:53:00\n1 2476 0 30 Mai 2020 - 21:20:54\n5 8471 0 19 Mai 2020 - 09:47:00\nPar didibiites 15 Mai 2020 - 13:32:05\n1 876 0 18 Mai 2020 - 11:18:43\nZobal sacri en koli : changement nécessaire\nPar mackdow 16 Mai 2020 - 17:18:54\n6 1211 -1 18 Mai 2020 - 09:26:29\nPar benjimai23 07 Avril 2020 - 17:39:33\n3 1084 0 18 Mai 2020 - 09:02:55\nPar Mariv 26 Mars 2020 - 18:55:08\n10 2224 -2 11 Mai 2020 - 08:20:52\nSacrieur : quel élément ?\nPar kidzou 23 Mars 2020 - 17:14:40\n2 4535 0 07 Mai 2020 - 07:29:53\nSacrieur elements :)\nPar Bernoush 18 Avril 2020 - 15:41:42\n3 10488 0 07 Mai 2020 - 07:24:45\nPar chich 02 Mai 2020 - 14:23:16\n4 978 0 03 Mai 2020 - 19:17:12\nAide sur les châtiments et sorts du Sacrieur\nPar ElFamosoVeau 16 Avril 2020 - 12:09:18\n1 1342 0 17 Avril 2020 - 12:33:08\nPar chich 01 Avril 2020 - 16:16:30\n9 2903 0 11 Avril 2020 - 12:54:52\nPar alkaootr 26 Mars 2020 - 15:42:14\n2 3332 0 30 Mars 2020 - 01:30:18


3. MLB Justin Masterson CLE AL 2011 26 34 33 3460 216.0 215.0 1.0 12 10 0 908 822 89 77 211 159 39 2 11 287 65 61 4 158 11 5 5 3.21 35.7 3.92\n4. MLB Ivan Nova NYA AL 2011 24 28 27 2562 165.3 164.7 0.7 16 4 0 704 633 74 68 163 111 37 2 13 243 57 54 3 98 6 6 2 3.70 5.2 0.38\n7. MLB Chris Tillman BAL AL 2011 23 13 13 1167 62.0 62.0 0.0 3 5 0 287 256 41 38 77 51 21 0 5 113 25 25 0 46 4 1 1 5.52 -4.2 -0.45\n8. MLB Zach Britton BAL AL 2011 23 28 28 2509 154.3 154.3 0.0 11 11 0 666 588 93 79 162 118 31 1 12 231 62 59 3 97 1 7 8 4.61 5.5 0.49\n12. MLB Joe Smith CLE AL 2011 27 71 0 1003 67.0 0.0 67.0 3 3 0 4 267 240 16 15 52 44 7 0 1 62 21 20 1 45 2 2 2 2.01 15.2 1.62\n13. MLB Frank Herrmann CLE AL 2011 27 40 0 1002 56.3 0.0 56.3 4 0 0 1 253 235 35 32 71 48 15 1 7 109 16 15 1 34 0 0 2 5.11 -7.6 -0.89\n18. MLB Anthony Swarzak MIN AL 2011 25 27 11 1680 102.0 63.7 38.3 4 7 0 441 404 53 49 111 81 19 2 9 161 26 25 1 55 6 3 2 4.32 -1.1 -0.11\n20. MLB Carlos Carrasco CLE AL 2011 24 21 21 1964 124.7 124.7 0.0 8 9 0 536 482 68 64 130 86 27 2 15 206 40 37 3 85 4 7 3 4.62 12.9 1.24\n21. MLB Wade Davis TBA AL 2011 25 29 29 2952 184.0 184.0 0.0 11 10 0 795 712 96 91 190 118 43 6 23 314 63 62 1 105 8 7 5 4.45 -0.2 -0.03\n24. MLB Jeff Niemann TBA AL 2011 28 23 23 2151 135.3 135.3 0.0 11 7 0 572 524 65 61 131 81 26 6 18 223 37 36 1 105 5 4 2 4.06 22.6 2.53\n27. MLB Ricky Romero TOR AL 2011 26 32 32 3374 225.0 225.0 0.0 15 11 0 917 816 85 73 176 109 38 3 26 298 80 78 2 178 14 1 6 2.92 37.7 4.31\n30. MLB Mitch Talbot CLE AL 2011 27 12 12 1114 63.7 63.7 0.0 2 6 0 299 262 47 47 90 64 14 2 10 138 28 26 2 36 3 5 1 6.64 -12.4 -1.42\n31. MLB Jered Weaver ANA AL 2011 28 33 33 3745 235.7 235.7 0.0 18 8 0 926 857 65 63 182 120 38 4 20 288 56 56 0 198 3 5 5 2.41 55.1 5.75\n32. MLB Sean O'sullivan KCA AL 2011 23 12 10 949 58.3 54.3 4.0 2 6 0 1 273 238 52 47 78 51 14 3 10 128 26 25 1 19 2 4 3 7.25 -13.3 -1.42\n36. MLB Rick Porcello DET AL 2011 22 31 31 2860 182.0 182.0 0.0 14 9 0 784 720 103 96 210 150 35 7 18 313 46 45 1 104 8 5 5 4.75 3.6 0.23\n37. MLB Tyler Chatwood ANA AL 2011 21 27 25 2418 142.0 136.7 5.3 6 11 0 633 547 81 75 166 120 30 2 14 242 71 67 4 74 6 3 6 4.75 -18.9 -2.00\n38. MLB Zach Stewart CHA AL 2011 24 10 8 808 50.7 46.3 4.3 2 5 0 222 204 35 35 64 40 14 1 9 107 13 12 1 35 1 1 2 6.22 -1.6 -0.17\n41. MLB Josh Beckett BOS AL 2011 31 30 30 2991 193.0 193.0 0.0 13 7 0 767 693 65 62 146 102 23 0 21 232 52 51 1 175 9 5 8 2.89 47.9 5.02\n45. MLB Jake Peavy CHA AL 2011 30 19 18 1856 111.7 107.7 4.0 7 7 0 1 470 437 61 61 117 85 19 3 10 172 24 20 4 95 3 5 1 4.92 8.0 0.60\n46. MLB Bruce Chen KCA AL 2011 34 25 25 2518 155.0 155.0 0.0 12 8 0 654 589 71 65 152 102 31 1 18 239 50 48 2 97 7 5 3 3.77 -1.7 -0.01\n47. MLB John Lackey BOS AL 2011 32 28 28 2844 160.0 160.0 0.0 12 12 0 743 660 119 114 203 138 38 7 20 315 56 55 1 108 19 6 2 6.41 -7.2 -0.77\n49. MLB Chris Jakubauskas BAL AL 2011 32 33 6 1299 72.3 27.3 45.0 2 2 0 1 331 294 46 46 93 60 21 1 11 149 29 26 3 52 3 4 1 5.72 -9.0 -0.95\n51. MLB Brandon Morrow TOR AL 2011 26 30 30 3112 179.3 179.3 0.0 11 11 0 777 683 103 94 162 103 34 4 21 267 69 68 1 203 12 9 4 4.72 27.4 2.92\n52. MLB Doug Fister DET AL 2011 27 11 10 986 70.3 67.3 3.0 8 1 0 273 262 19 14 54 39 11 0 4 77 5 5 0 57 3 2 1 1.79 14.8 1.58\n54. MLB Hector Noesi NYA AL 2011 24 30 2 956 56.3 4.7 51.7 2 2 0 0 247 220 29 28 63 43 14 0 6 95 22 18 4 45 2 2 1 4.47 3.7 0.40\n55. MLB Jake Arrieta BAL AL 2011 25 22 22 2097 119.3 119.3 0.0 10 8 0 523 455 70 67 115 71 20 3 21 204 59 57 2 93 4 2 3 5.05 0.9 0.23\n56. MLB David Price TBA AL 2011 25 34 34 3696 224.3 224.3 0.0 12 13 0 918 835 93 87 192 123 43 4 22 309 63 58 5 218 9 7 4 3.49 57.1 6.05\n58. MLB Henderson Alvarez TOR AL 2011 21 10 10 977 63.7 63.7 0.0 1 3 0 259 244 26 25 64 43 11 2 8 103 8 8 0 40 4 2 1 3.53 9.1 0.97\n61. MLB Derek Holland TEX AL 2011 24 32 32 3206 198.0 198.0 0.0 16 5 0 843 766 97 87 201 142 36 1 22 305 67 66 1 162 6 3 1 3.95 15.8 1.68\n62. MLB Max Scherzer DET AL 2011 26 33 33 3341 195.0 195.0 0.0 15 9 0 832 760 101 96 207 133 38 7 29 346 56 55 1 174 7 7 3 4.43 19.3 1.52\n64. MLB Cc Sabathia NYA AL 2011 30 33 33 3605 237.3 237.3 0.0 19 8 0 985 902 87 79 230 171 39 3 17 326 61 57 4 230 7 7 8 3.00 43.8 4.55\n66. MLB Roberto Hernandez CLE AL 2011 30 32 32 3022 188.7 188.7 0.0 7 15 0 833 743 125 110 205 130 52 1 22 325 60 57 3 109 14 7 9 5.25 13.6 1.32\n68. MLB Edwin Jackson CHA AL 2011 27 19 19 2007 121.7 121.7 0.0 7 7 0 522 473 55 53 134 98 25 3 8 189 39 37 2 97 0 4 6 3.92 7.5 0.78\n69. MLB Mark Buehrle CHA AL 2011 32 31 31 3147 205.3 205.3 0.0 13 9 0 858 798 93 82 221 160 34 6 21 330 45 42 3 109 2 7 6 3.59 -7.7 -0.46\n70. MLB Tim Wakefield BOS AL 2011 44 33 23 2417 154.7 137.3 17.3 7 8 0 677 610 110 88 163 91 45 2 25 287 47 46 1 93 8 8 4 5.12 -15.2 -1.65\n72. MLB David Pauley SEA AL 2011 28 39 0 721 54.3 0.0 54.3 5 4 0 1 213 190 13 13 38 29 6 1 2 52 16 12 4 34 4 1 2 2.15 6.6 0.70\n73. MLB Ubaldo Jimenez CLE AL 2011 27 11 11 1167 65.3 65.3 0.0 4 4 0 290 261 43 37 68 38 18 5 7 117 27 27 0 62 2 0 0 5.10 4.1 0.43\n74. MLB Colby Lewis TEX AL 2011 31 32 32 3207 200.3 200.3 0.0 14 10 0 839 767 103 98 187 112 35 5 35 337 56 55 1 169 6 5 4 4.40 15.1 1.42\n75. MLB James Shields TBA AL 2011 29 33 33 3576 249.3 249.3 0.0 16 12 0 975 897 83 78 195 131 35 3 26 314 65 64 1 225 5 3 5 2.82 57.2 5.82\n77. MLB Nick Blackburn MIN AL 2011 29 26 26 2429 148.3 148.3 0.0 7 10 0 670 600 91 74 183 130 28 6 19 280 54 49 5 76 4 5 7 4.49 -4.6 -0.35\n78. MLB Dan Haren ANA AL 2011 30 35 34 3774 238.3 237.3 1.0 16 10 0 953 898 91 84 211 137 51 3 20 328 33 32 1 192 5 5 12 3.17 62.5 6.76\n79. MLB Chad Durbin CLE AL 2011 33 56 0 1225 68.3 0.0 68.3 2 2 0 2 318 281 45 42 86 54 19 1 12 143 26 23 3 59 3 7 1 5.53 -1.7 -0.18\n82. MLB Will Ohman CHA AL 2011 33 59 0 915 53.3 0.0 53.3 1 3 0 2 232 208 26 25 53 36 7 2 8 88 17 12 5 54 4 1 2 4.22 0.0 0.00\n83. MLB Ervin Santana ANA AL 2011 28 33 33 3453 228.7 228.7 0.0 11 12 0 949 858 95 86 207 135 43 3 26 334 72 68 4 178 8 7 4 3.38 37.9 3.85\n84. MLB Rich Harden OAK AL 2011 29 15 15 1482 82.7 82.7 0.0 4 4 0 363 326 48 47 87 53 13 4 17 159 31 31 0 91 2 3 1 5.12 2.9 0.31\n86. MLB C.j. Wilson TEX AL 2011 30 34 34 3593 223.3 223.3 0.0 16 7 0 915 823 89 73 191 129 43 3 16 288 74 74 0 206 10 5 3 2.94 45.9 4.81\n87. MLB Matt Albers BOS AL 2011 28 56 0 1180 64.7 0.0 64.7 4 4 0 4 290 247 35 34 62 42 13 0 7 96 31 30 1 68 5 2 4 4.73 4.0 0.43\n88. MLB Jeremy Guthrie BAL AL 2011 32 34 32 3316 208.0 203.7 4.3 9 17 0 889 798 113 100 213 128 55 4 26 354 66 61 5 130 9 10 5 4.33 -2.1 0.31\n90. MLB John Danks CHA AL 2011 26 27 27 2753 170.3 170.3 0.0 8 12 0 728 665 89 82 182 124 33 6 19 284 46 41 5 135 7 6 4 4.33 8.8 1.01\n91. MLB Brad Bergesen BAL AL 2011 25 34 12 1660 101.0 62.3 38.7 2 7 0 451 413 73 64 119 65 35 3 16 208 32 29 3 61 3 3 0 5.70 0.1 0.01\n92. MLB Brian Duensing MIN AL 2011 28 32 28 2667 161.7 156.3 5.3 9 14 0 711 645 102 94 193 122 44 6 21 312 52 49 3 115 1 6 7 5.23 -10.6 -1.22\n94. MLB Jeremy Hellickson TBA AL 2011 24 29 29 2954 189.0 189.0 0.0 13 10 0 774 695 64 62 146 81 38 6 21 259 72 64 8 117 4 2 1 2.95 29.8 2.97\n95. MLB Erik Bedard SEA AL 2011 32 16 16 1511 91.3 91.3 0.0 4 7 0 373 341 41 35 77 49 16 1 11 128 30 30 0 87 1 0 1 3.45 2.8 0.18\n96. MLB Felipe Paulino KCA AL 2011 27 21 20 2158 124.7 120.3 4.3 4 6 0 531 464 62 57 123 92 17 4 10 178 48 46 2 119 8 6 5 4.11 10.0 1.17\n97. MLB Guillermo Moscoso OAK AL 2011 27 23 21 2132 128.0 125.0 3.0 8 10 0 526 482 59 48 102 66 21 1 14 167 38 37 1 74 2 3 1 3.38 8.5 0.63\n98. MLB Josh Outman OAK AL 2011 26 13 9 967 58.3 51.3 7.0 3 5 0 0 254 224 27 24 62 44 13 1 4 89 23 23 0 35 0 3 4 3.70 -1.7 -0.28\n101. MLB Justin Verlander DET AL 2011 28 34 34 3941 251.0 251.0 0.0 24 5 0 969 904 73 67 174 116 31 3 24 283 57 57 0 250 3 3 2 2.40 77.9 8.77\n108. MLB Scott Downs ANA AL 2011 35 60 0 801 53.7 0.0 53.7 6 3 1 3 218 196 11 8 39 29 6 1 3 56 15 12 3 35 0 2 5 1.34 9.9 1.05\n109. MLB Jesse Litsch TOR AL 2011 26 28 8 1272 75.0 46.3 28.7 6 3 1 1 317 282 40 37 69 40 17 2 10 120 28 26 2 66 3 2 2 4.44 6.5 0.69\n110. MLB David Robertson NYA AL 2011 26 70 0 1213 66.7 0.0 66.7 4 0 1 4 272 235 9 8 40 30 8 1 1 53 35 29 6 100 1 0 1 1.08 21.4 2.28\n111. MLB Daniel Bard BOS AL 2011 26 70 0 1096 73.0 0.0 73.0 2 9 1 5 288 257 29 27 46 30 8 3 5 75 24 21 3 74 2 0 5 3.33 20.1 2.14\n112. MLB Phil Coke DET AL 2011 28 48 14 1703 108.7 74.7 34.0 3 9 1 4 474 423 64 54 118 86 25 2 5 162 40 35 5 69 4 3 4 4.47 -7.3 -0.84\n113. MLB Shawn Camp TOR AL 2011 35 67 0 996 66.3 0.0 66.3 6 3 1 3 292 261 36 31 79 49 24 3 3 118 22 13 9 32 6 1 2 4.21 1.4 0.14\n114. MLB Jesse Crain CHA AL 2011 29 67 0 1146 65.3 0.0 65.3 8 3 1 6 268 233 20 19 50 33 9 1 7 82 31 26 5 70 0 3 1 2.62 7.2 0.76\n115. MLB Louis Coleman KCA AL 2011 25 48 0 1005 59.7 0.0 59.7 1 4 1 1 244 213 20 19 44 24 11 0 9 82 26 20 6 64 3 1 1 2.87 10.0 1.03\n120. MLB Hisanori Takahashi ANA AL 2011 36 61 0 1097 68.0 0.0 68.0 4 3 2 3 281 250 30 26 58 39 12 0 7 91 25 17 8 52 0 3 3 3.44 7.9 0.84\n122. MLB Darren Oliver TEX AL 2011 40 61 0 833 51.0 0.0 51.0 5 5 2 6 215 199 17 13 47 38 6 0 3 62 11 10 1 44 1 0 4 2.29 -2.8 -0.30\n123. MLB Joaquin Benoit DET AL 2011 33 66 0 1008 61.0 0.0 61.0 4 3 2 5 241 216 22 20 47 38 4 0 5 66 17 16 1 63 2 5 1 2.95 11.9 1.27\n124. MLB Glen Perkins MIN AL 2011 28 65 0 908 61.7 0.0 61.7 4 4 2 5 253 225 19 17 55 39 14 0 2 75 21 16 5 65 1 1 5 2.48 10.7 1.14\n125. MLB Casey Janssen TOR AL 2011 29 55 0 877 55.7 0.0 55.7 6 0 2 2 223 206 14 14 47 34 11 0 2 64 14 13 1 53 2 0 1 2.26 9.7 1.04\n126. MLB Vinnie Pestano CLE AL 2011 26 67 0 993 62.0 0.0 62.0 1 2 2 4 250 223 16 16 41 28 4 4 5 68 24 21 3 84 3 0 0 2.32 15.7 1.67\n127. MLB Matt Thornton CHA AL 2011 34 62 0 1062 59.7 0.0 59.7 2 5 3 5 262 235 34 22 60 47 10 0 3 79 21 16 5 63 0 3 3 3.32 12.8 1.36\n128. MLB Greg Holland KCA AL 2011 25 46 0 946 60.0 0.0 60.0 5 1 4 3 233 211 13 12 37 24 8 2 3 58 19 16 3 74 1 1 1 1.80 16.2 1.73\n129. MLB Joel Peralta TBA AL 2011 35 71 0 1071 67.7 0.0 67.7 3 4 6 3 256 234 23 22 44 23 13 1 7 80 18 15 3 61 0 2 2 2.93 10.9 1.16\n130. MLB Chris Sale CHA AL 2011 22 58 0 1105 71.0 0.0 71.0 2 2 8 3 288 256 22 22 52 32 14 0 6 84 27 24 3 79 2 0 3 2.79 11.3 1.20\n132. MLB Jon Rauch TOR AL 2011 32 53 0 891 52.0 0.0 52.0 5 4 11 5 225 208 28 28 56 34 11 0 11 100 14 13 1 36 1 0 2 4.85 -6.0 -0.64\n133. MLB Brian Fuentes OAK AL 2011 35 67 0 983 58.3 0.0 58.3 2 8 12 3 250 219 30 24 52 41 4 1 6 76 20 15 5 42 4 3 4 3.70 1.4 0.14\n135. MLB Frank Francisco TOR AL 2011 31 54 0 875 50.7 0.0 50.7 1 4 17 4 218 199 21 20 49 30 12 0 7 82 18 16 2 53 0 0 1 3.55 5.5 0.59\n137. MLB Kyle Farnsworth TBA AL 2011 35 63 0 861 57.7 0.0 57.7 5 1 25 6 231 213 15 14 45 27 12 1 5 74 12 11 1 51 3 2 1 2.18 8.8 0.94\n138. MLB Joakim Soria KCA AL 2011 27 60 0 1040 60.3 0.0 60.3 5 5 28 7 256 232 29 27 60 43 9 1 7 92 17 17 0 60 2 2 3 4.03 7.1 0.76\n139. MLB Sergio Santos CHA AL 2011 27 63 0 993 63.3 0.0 63.3 4 5 30 6 260 226 25 25 41 25 8 2 6 71 29 24 5 92 3 1 1 3.55 17.3 1.84\n142. MLB Jordan Walden ANA AL 2011 23 62 0 1089 60.3 0.0 60.3 5 5 32 10 253 220 22 20 49 31 14 1 3 74 26 23 3 67 1 2 4 2.98 12.1 1.29\n144. MLB Brandon League SEA AL 2011 28 65 0 904 61.3 0.0 61.3 1 5 37 5 250 234 25 19 56 42 11 0 3 76 10 8 2 45 2 0 4 2.79 13.5 1.44


Clennon, David. (Person) - Hurst Public Library\nThe person Clennon, David. represents an individual (alive, dead, undead, or fictional) associated with resources found in Hurst Public Library.\n1 Items by the Person Clennon, David.\n
 Data from Clennon, David. - Hurst Public Library


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Qui se cache derrière le 0189459282\nDécouvrez l'identité du numéro 0189459282\nInformations disponibles sur le 0189459282\n0467540929 ☑ 0522295537 ☑ 0484472426 ☑ 0272216686 ☑ 0584823610 ☑ 0132238366 ☑ 0436008605 ☑ 0586096857 ☑ 0521587313 ☑ 0318353149 ☑ 0284531712 ☑ 0266695974 ☑ 0322639503 ☑ 0478383423 ☑ 0135711794 ☑ 0524404007 ☑ 0552567805 ☑ 0430562374 ☑ 0380419148 ☑ 0366273988 ☑ 0210384857 ☑ 0281203781 ☑ 0485371868 ☑ 0246232272 ☑ 0215093954 ☑ 0546879628 ☑ 0591439836 ☑ 0151810007 ☑ 0509843051 ☑ 0544682126 ☑ 0544028513 ☑ 0282903502 ☑ 0296305137 ☑ 0153230910 ☑ 0149907075 ☑ 0102734724 ☑ 0555970056 ☑ 0293394097 ☑ 0262847631 ☑ 0324149834 ☑ 0312471527 ☑ 0325827770 ☑ 0540596963 ☑ 0273354411 ☑ 0153790207 ☑ 0266104260 ☑ 0478147404 ☑ 0316320006 ☑ 0257803408 ☑ 0268421882 ☑ 0368976561 ☑ 0213014210 ☑ 0204064597 ☑ 0189946066 ☑ 0594855139 ☑ 0419605280 ☑ 0154618587 ☑ 0475021711 ☑ 0184939448 ☑ 0552116525 ☑ 0543656845 ☑ 0269844880 ☑\nDes informations à propos des 0189459282 - 0189459282. Et aussi commentaires et informations sur les titulaires\n0189459283 0189459284 0189459285 0189459286 0189459287 0189459288 0189459289 0189459290 0189459291 0189459292 0189459293 0189459294 0189459295 0189459296 0189459297 0189459298 0189459299 0189459300 0189459301 0189459302 0189459303 0189459304 0189459305 0189459306 0189459307 0189459308 0189459309 0189459310 0189459311 0189459312 0189459313 0189459314 0189459315 0189459316 0189459317 0189459318 0189459319 0189459320 0189459321 0189459322 0189459323 0189459324 0189459325 0189459326 0189459327 0189459328 0189459329 0189459330 0189459331 0189459332 0189459333 0189459334 0189459335 0189459336 0189459337 0189459338 0189459339 0189459340 0189459341 0189459342 0189459343 0189459344 0189459345 0189459346 0189459347 0189459348 0189459349 0189459350 0189459351 0189459352 0189459353 0189459354 0189459355 0189459356 0189459357 0189459358 0189459359 0189459360 0189459361 0189459362 0189459363 0189459364 0189459365 0189459366 0189459367 0189459368 0189459369 0189459370 0189459371 0189459372 0189459373 0189459374 0189459375 0189459376 0189459377 0189459378 0189459379 0189459380 0189459381 0189459382 0189459383 0189459384 0189459385 0189459386 0189459387 0189459388 0189459389 0189459390 0189459391 0189459392 0189459393 0189459394 0189459395 0189459396 0189459397 0189459398 0189459399 0189459400 0189459401 0189459402 0189459403 0189459404 0189459405 0189459406 0189459407 0189459408 0189459409 0189459410 0189459411 0189459412 0189459413 0189459414\n0189459281 0189459280 0189459279 0189459278 0189459277 0189459276 0189459275 0189459274 0189459273 0189459272 0189459271 0189459270 0189459269 0189459268 0189459267 0189459266 0189459265 0189459264 0189459263 0189459262 0189459261 0189459260 0189459259 0189459258 0189459257 0189459256 0189459255 0189459254 0189459253 0189459252 0189459251 0189459250 0189459249 0189459248 0189459247 0189459246 0189459245 0189459244 0189459243 0189459242 0189459241 0189459240 0189459239 0189459238 0189459237 0189459236 0189459235 0189459234 0189459233 0189459232 0189459231 0189459230 0189459229 0189459228 0189459227 0189459226 0189459225 0189459224 0189459223 0189459222 0189459221 0189459220 0189459219 0189459218 0189459217 0189459216 0189459215 0189459214 0189459213 0189459212 0189459211 0189459210 0189459209 0189459208 0189459207 0189459206 0189459205 0189459204 0189459203 0189459202 0189459201 0189459200 0189459199 0189459198 0189459197 0189459196 0189459195 0189459194 0189459193 0189459192 0189459191 0189459190 0189459189 0189459188 0189459187 0189459186 0189459185 0189459184 0189459183 0189459182 0189459181 0189459180 0189459179 0189459178 0189459177 0189459176 0189459175 0189459174 0189459173 0189459172 0189459171 0189459170 0189459169 0189459168 0189459167 0189459166 0189459165 0189459164 0189459163 0189459162 0189459161 0189459160 0189459159 0189459158 0189459157 0189459156 0189459155 0189459154 0189459153 0189459152 0189459151 0189459150\nLes informations liées aux : 0189459282 - 0189459282. Et tous les commentaires et informations sur les titulaires\n0189459282 : Annuaire inversé gratuit 0033189459282\n0343978719 ☑ 0557873772 ☑ 0368634879 ☑ 0532196523 ☑ 0525185840 ☑ 0177828532 ☑ 0326354432 ☑ 0400866255 ☑ 0156425726 ☑ 0371930113 ☑ 0347868686 ☑ 0185927188 ☑ 0273063905 ☑ 0135024964 ☑ 0394744913 ☑ 0161160396 ☑ 0357301088 ☑ 0296485546 ☑ 0258353242 ☑ 0162657963 ☑ 0445523904 ☑ 0328732021 ☑ 0261224410 ☑ 0283987943 ☑ 0546838526 ☑ 0102307653 ☑ 0439088751 ☑ 0444181010 ☑ 0374110394 ☑ 0552043492 ☑ 0202326397 ☑ 0534449737 ☑ 0191292324 ☑ 0411996890 ☑ 0503371679 ☑ 0221588209 ☑ 0512561032 ☑ 0439016929 ☑ 0545079838 ☑ 0512185198 ☑ 0189309118 ☑ 0105879369 ☑ 0476576515 ☑ 0496579279 ☑ 0318102971 ☑ 0595964521 ☑ 0465323042 ☑ 0184915754 ☑ 0241430361 ☑ 0536754139 ☑ 0396270200 ☑ 0156791141 ☑ 0162353433 ☑ 0187136594 ☑ 0536980733 ☑ 0223628736 ☑ 0114067546 ☑ 0529705627 ☑ 0242377437 ☑ 0537823374 ☑ 0506597564 ☑ 0336298617 ☑ 0450351832 ☑ 0535819074 ☑ 0350114108 ☑ 0420184328 ☑ 0474577913 ☑ 0388719001 ☑ 0273095117 ☑ 0412918401 ☑ 0290156173 ☑ 0268870336 ☑ 0523976274 ☑ 0491666875 ☑ 0432989766 ☑ 0212641672 ☑ 0409641960 ☑ 0314289608 ☑\nNous sollicitons votre aide ! Que savez-vous sur 0189459282 ?\n+33 18 94 59 28 2\n01 89 45 92 82\n0033 1 89 45 92 82\nLes informations sur les 0189459282 - 0189459282\n0189450294 ☑ 0189451977 ☑ 0189455195 ☑ 0189458913 ☑ 0189458662 ☑ 0189458525 ☑ 0189455043 ☑ 0189453474 ☑ 0189457698 ☑ 0189456662 ☑ 0189458676 ☑ 0189456804 ☑ 0189454762 ☑ 0189453889 ☑ 0189459222 ☑ 0189456973 ☑ 0189456622 ☑ 0189453942 ☑ 0189456192 ☑ 0189450064 ☑ 0189457270 ☑ 0189451500 ☑ 0189458234 ☑ 0189452188 ☑ 0189458101 ☑ 0189451547 ☑ 0189457397 ☑ 0189453511 ☑ 0189458929 ☑ 0189455203 ☑ 0189454387 ☑ 0189454653 ☑ 0189458649 ☑ 0189451968 ☑ 0189452556 ☑ 0189451779 ☑ 0189457092 ☑ 0189452967 ☑ 0189453448 ☑ 0189451910 ☑ 0189456697 ☑ 0189455668 ☑ 0189451243 ☑ 0189459227 ☑ 0189452105 ☑ 0189451624 ☑ 0189451723 ☑ 0189457433 ☑ 0189450205 ☑ 0189458740 ☑ 0189459949 ☑ 0189451664 ☑ 0189458790 ☑ 0189453245 ☑ 0189459787 ☑ 0189451102 ☑ 0189454183 ☑ 0189458247 ☑ 0189451872 ☑ 0189455374 ☑ 0189451744 ☑ 0189450900 ☑ 0189457979 ☑ 0189450715 ☑ 0189458997 ☑ 0189451342 ☑ 0189452257 ☑ 0189456327 ☑ 0189450620 ☑


A Cheerful Giver & Achim & Honey-Can-Do & No. 918 & Reebok | Boscov's\nA Cheerful Giver & Achim & Honey-Can-Do & No. 918 & Reebok


Ar Ross Sisters a oa teir c'hoar eus Texas, SUA, kanerezed ha dañserezed, Aggie Ross, Elmira Ross, ha Maggie Ross, e gwirionez Veda Victoria (1927–2002), Dixie Jewel (1929–1963) ha Betsy Ann Ross (1926–1996),) hag a wee o c'horfoù en ur ganañ. Gwelet e voent er film Broadway Rhythm hag adarre en Entertainment! III e 1994.\nGanet e oant e Texas e ti Charles Adolphus ha Veda Cordelia Ross. Goude ober ar film "Broadway Rhythm," ez ejont da Europa ha gwelet e vezent e Londrez war al leurenn en abadenn "Piccadilly Hayride," etre 1946 ha 1948. Enrollet e voe ar ganaouenn "Five Minutes More" gante," adkanet diwezhatoc'h gant Frank Sinatra.\nBetsy Ann Ross (Aggie) a oa ganet e 1926, en Colorado City, Texas. Dimeziñ a reas da Robert "Bunny" Hightower, un dañser, e miz Genver 1947, hogen hennezh a oa lonker ha skizofrenour, ha dornañ anezhi a reas ma voe hogos dezhi bout lazhet. Ur mab o doe, Dana, ha meur a wech e voent gwelet e The Ed Sullivan Show. Robert Hightower a oa bet dimezet a-raok d'ar gorollerez Vera-Ellen, ur c'hoar da Rosemary Clooney er film White Christmas.\nVeda Victoria (Vickie) Ross (Maggie) a oa ganet e 1927, e Roscoe, Texas. E 1950 e timezas en Paris da Robert Lamouret (1912-1959), un teurvouezhier gall a eas goude da SUA. Goude e varv ec'h addimezas da Bob Hender.\nAdtapet diwar « https://br.wikipedia.org/w/index.php?title=Ross_Sisters&oldid=1822688 »


Used 2006 Chevrolet Corvette Base for Sale in Lafayette LA 70506 Motor City LA\nClean CARFAX. THE CORVETTE YOU HAVE BEEN DREAMING OF!, LESS THAN 20K MILES !!!!, 2006 CHEVROLET CORVETTE HERE NOW, HID HEADLIGHTS, FOG LIGHTS, *** 18" CORVETTE RIMS ***, DUAL POWER SEATS, ** CONVERTIBLE TOP ***, BOSE STEREO, *** MEMORY SEATS ***, BLACK LEATHER SEATS, *** PADDLE SHIFTERS ***, AUTO SOFT TOP, HEATED SEATS, TOUR AND SPORT MODE, *** PUSH BUTTON START ***, CD AND DVD PLAYER, ***NAVIGATION SYSTEM ***, TRACTION CONTROL, CORVETTE FLOOR MATS, POWER PACKAGE!. Smokin Asphalt 2006 Chevrolet Corvette RWD 6-Speed Automatic Paddle Shift 6.0L V8 SFI\nOdometer is 24119 miles below market average! 17/27 City/Highway MPG\nTHE CORVETTE YOU HAVE BEEN DREAMING OF!\nLESS THAN 20K MILES !!!!\n2006 CHEVROLET CORVETTE HERE NOW\n*** 18'' CORVETTE RIMS ***\n** CONVERTIBLE TOP ***\nAUTO SOFT TOP\nTOUR AND SPORT MODE\n***NAVIGATION SYSTEM ***\n19,330 miles, RWD, 8 Cyl 6.0L V8 SFI


Chhattisgarh en India\nChhattisgarh (छत्तीसगढ़ en hindieg) zo ur stad eus India, an hini nevesañ-savet. Emañ e kreiz ar vro, ha savet e oa bet e dibenn 2000 dre dennañ eus stad Madhya Pradesh pastelloù-bro ma komzer tchatisgarheg (Chhattisgarhi), ur yezh pe ur rannyezh tost d'an hindieg. Raipur eo ar gêr-benn. An dekvet stad vrasañ en India eo Chhattisgarh, a-fed gorread. Dont a ra an anv Chhattisgarh eus ar 36 priñselezh a oa er rannvro (Chhattis a dalvez kement ha « 36 » en hindieg, ha garh kement ha « kreñvlec'h », « kêr »).\nEmañ stad Chhattisgarh etre Madhya Pradesh er gwalarn, Maharashtra er c'hornôg, Andhra Pradesh er su, Orisa er reter, Jharkhand er biz hag Uttar Pradesh en norzh.\nAn tchatisgarheg (Chhattisgarhi) eo ar yezh pennañ er stad met an hindieg, ur yezh kar, eo ar yezh ofisiel. Er menezioù emañ ar bobl Gondi o vevañ, tud a gomz Gondeg, ur yezh dravidek.\nAdtapet diwar « https://br.wikipedia.org/w/index.php?title=Chhattisgarh&oldid=1496221 »\nKemmoù diwezhañ degaset d'ar bajenn-mañ d'an 5 Ebr 2013, da 14:38.


NREL-WWIS-04237 - GEO\nHistory of Edits for NREL-WWIS-04237\nNREL-WWIS-04237 is located at On Shore. Location coordinates are: Latitude= 35.242, Longitude= -113.442. This infrastructure is of TYPE Wind_Potential and CATEGORY Fuels and Resources. .