Fiscal incidence Fiscal incidence Fiscal incidence is a concept within public finance, a sub-discipline within economics, that refers to the combined overall economic impact of both government taxation and expenditures on the real economic income of individuals. While taxation reduces the economic well-being of individuals, government expenditures raise their economic well-being. Fiscal incidence is the term for the overall impact of government taxing and spending considered together. In theory, governments withdraw resources from society in the form of taxation, and contribute resources back into society in the form of expenditures. However, the burdens of taxation are not borne equally by individuals, and
Word-sense disambiguation space. However, these supervised methods are subject to a new knowledge acquisition bottleneck since they rely on substantial amounts of manually sense-tagged corpora for training, which are laborious and expensive to create. Because of the lack of training data, many word sense disambiguation algorithms use semi-supervised learning, which allows both labeled and unlabeled data. The Yarowsky algorithm was an early example of such an algorithm. It uses the ‘One sense per collocation’ and the ‘One sense per discourse’ properties of human languages for word sense disambiguation. From observation, words tend to exhibit only one sense in most given discourse and