Laffer curve Laffer curve In economics, the Laffer curve illustrates a theoretical relationship between rates of taxation and the resulting levels of government revenue. It illustrates the concept of taxable income elasticity—i.e., taxable income changes in response to changes in the rate of taxation. The Laffer curve assumes that no tax revenue is raised at the extreme tax rates of 0% and 100%, and that there is a rate between 0% and 100% that maximizes government taxation revenue. The Laffer curve is typically represented as a graph that starts at 0% tax with zero revenue, rises to a maximum rate of revenue
Immigration to the United States An internal study by the Department of Health and Human Services under the Trump administration, which was suppressed and not shown to the public, found that refugees to the United States brought in $63 billion more in government revenues than they cost the government. According to labor economist Giovanni Peri, the existing literature suggests that there are no economic reasons why the American labor market could not easily absorb 100,000 Syrian refugees in a year. Refugees integrate more slowly into host countries' labor markets than labor migrants, in part due to the loss and depreciation of human capital and credentials