This paper presents an empirical assessment of bilateral migration flows into the EU-15 countries. Using an extended gravity model, it identifies economic, welfare state, geospatial and linguistic variables as the principal determinants of migration flows into the EU-15 countries. As long as its effect is not offset by a high unemployment rate in the host country, the level of social protection expenditure influences migrants' choice of destination. However, albeit acting as a joint force with other economic, cultural and geospatial variables, the welfare state characteristics of the host country need to be reckoned with when studying European migration flows. Our empirical findings lend some support for a more unified or at least better coordinated social policy across the European Union.

Cash income offers an incomplete picture of the resources available to finance household consumption. Most American families are covered by an insurance plan that pays for some or all of the health care they consume. Only a comparatively small percentage of families pays for the full cost of this insurance out of their cash incomes. As health care has claimed a growing share of consumption, the percentage of care that is financed out of household incomes has declined. Because health care consumption is more important for some groups in the population than others, the growth in spending and changes in the payment system for medical care have reduced the value of standard income measures for assessing relative incomes of the rich and poor and the young and old. More than a seventh of total personal consumption now consists of health care that is purchased with government insurance and employer contributions to employee health plans. This paper combines health care spending and insurance reimbursement data in the Medical Expenditure Panel Study and money income and health coverage data in the Current Population Survey to assess the impact of health insurance on the distribution of income. Our estimates imply that gross money income significantly understates the resources available to finance household purchases. The estimates imply that a more complete measure of resources would show less inequality than the income measures that are currently used. The addition of estimates of the value of health insurance to countable incomes reduces measured inequality in the population and the income gap between young and old. If the analysis were extended over a longer period, it would show a sizeable impact of insurance on inequality trends in the United States.

The Center for Retirement Research at Boston College, part of a consortium that includes parallel centers at the University of Michigan and the National Bureau of Economic Research, was established in 1998 through a grant from the Social Security Administration. The Center's mission is to produce first-class research and forge a strong link between the academic community and decision makers in the public and private sectors around an issue of critical importance to the nation's future. To achieve this mission, the Center sponsors a wide variety of research projects, transmits new findings to a broad audience, trains new scholars, and broadens access to valuable data sources.

Cash income offers an incomplete picture of the resources available to finance household consumption. Most American families are covered by an insurance plan that pays for some or all of the health care they consume. Only a comparatively small percentage of families pay for the full cost of this insurance out of their cash incomes. As health care has claimed a growing share of consumption, the percentage of care that is financed out of household incomes has declined.Because health care consumption is more important for some groups in the population than others, the growth in spending and changes in the payment system for medical care have reduced the value of standard income measures for assessing relative incomes across age groups and across the income distribution. More than a seventh of total personal consumption now consists of health care that is purchased with government insurance and employer contributions to employee health plans. In this paper we combine health care spending and insurance reimbursement data in the Medical Expenditure Panel Study with cash and noncash income data in the Current Population Survey to assess the impact of health insurance on the distribution of income and, in particular, on the age profile of income. Our estimates imply that gross money income and disposable cash and near-cash income significantly understate the resources available to finance household purchases. The estimates imply that a more complete measure of resources would show less inequality than the income measures that are currently used. The addition of estimates of the value of health insurance to countable incomes reduces measured inequality in the population and the income gap between young and old. Standard income measures imply that households with an aged household head have significantly lower average and median incomes than households with a head who is less than 55. In contrast, an income definition that includes the value of health insurance implies that aged households have higher incomes than households with a nonaged head.Census Bureau imputations. On the other hand, the Bureau's imputations of medicare and 3 -1 and 2 do not apply KeyVar5 Covered by Medicaid