Has the US mortality differential by socioeconomic status increased over time?
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Biomedical subjects
Publications and source records attributed to H O Duleep.
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This article asks whether information about immigrants beyond their age, education, and years since migration can be productively used to project their earnings. Although many factors could affect immigrant earnings, what is most useful for Social Security modelling purposes is relevant information that is readily available on a continuous basis. Country of origin is a good candidate, as it is regularly and readily available from several administrative and survey data sources. In this article, microdata samples from the 1960-90 censuses are used to examine the relationship between country of origin and the earnings of immigrants. By following cohorts of immigrants over 10-year intervals, we learn how country of origin affects the initial earnings of immigrants and how the relationship between country of origin and immigrant earnings changes as immigrants continue to live in the United States. The article also presents theoretical insights and empirical evidence about the underlying causes of the link between country of origin and immigrant earnings.
Cross-sectional estimates of immigrant wage growth have painted an optimistic picture of the ability of immigrants to adapt to the U.S. labor market: Studies using cross-sectional data have generally found the wage growth of immigrants to exceed that of the native born. This optimistic picture of immigrant economic assimilation was challenged by the important finding that compared to earlier immigrant cohorts, recent immigrants started at much lower wages. As such, the high wage growth of immigrants relative to the native born measured in cross-sectional data may simply be the spurious result of declining immigrant earnings ability. In this paper, we match Current Population Survey samples so that the wages of individual immigrant and native-born men can be followed for one year. We find that the wage growth of immigrants does exceed that of the native born. The general finding of faster immigrant wage growth also holds when imposing the foreign-born geographic distribution upon natives, but not when imposing the native-born geographic distribution on the foreign born-a result consistent with some theories of immigrant assimilation. In each comparison, however, the actual wage growth of immigrants relative to natives is similar to the predictions of cross-sectional regressions. This similarity suggests that either there is no cohort quality bias in the cross-sectional estimates of immigrant wage growth, or that there has been a coincidental increase in immigrant wage growth as the entry wages of immigrants have fallen.
Immigrant cohorts have varied over time in many ways that have important implications for projecting the contributions immigrants make to the Social Security system. Using immigrant cohorts in the 1970, 1980, and 1990 decennial censuses, we find that immigrant men experience faster earnings growth than U.S.-born men; that there has been a large decline in initial immigrant earnings over time; and that there has been an accompanying large increase over time in immigrant earnings growth rates. Thus, recent reductions in immigrant entry earnings are significantly compensated for by faster immigrant earnings growth.
The absence of a correlation between age-adjusted death rates and the average income levels of economically developed countries has led researchers to conclude that income does not affect the mortality levels of economically developed countries. The mortality experiences of the former Soviet Union and some of the eastern European countries have further brought into question the importance of income's distribution in determining mortality among economically developed countries; prior to its breakup, the income distribution of the Soviet Union was as equal as that of Sweden, yet the life expectancy of the Soviets has been dramatically shorter than that of the Swedes. Using insights from a longitudinal microanalysis of U.S. mortality, this study presents evidence that, even for economically developed countries, the income distribution of a nation is an important determinant of its mortality. The results of this study also suggest that the relatively unequal income distribution of the United States is an important contributing factor to its low life expectancy relative to other high-income countries.
Each year the Social Security Administration forecasts the financial status of the Old-Age, Survivors, and Disability Insurance (OASDI) programs by projecting trends in key variables such as the labor-force participation and earnings of the U. S. population. In the difficult task of projecting the long-term financial status of Social Security, assumptions are made concerning the relationship of immigrants to Social Security. An important aspect of that relationship is the emigration of immigrants. This article describes the general assumptions related to the level and timing of emigration that underlie projections of Social Security's financial status and examines how closely these assumptions fit research findings based on a variety of data sources. Previous trends in emigration and factors that may affect current and future levels of emigration are described. The article also presents theoretical expectations and empirical evidence concerning the timing of emigration.
Using 1973 Current Population Survey data matched to 1973-1978 Social Security mortality records, this study measures the relationship between the income and education of men and their subsequent mortality. The estimated relationships are compared with socioeconomic mortality differentials found by Kitagawa and Hauser in their study of 1960 census-death certificate matched data. The comparison suggests that there has been no improvement in the relative mortality experience of low socioeconomic status men. More generally, the article discusses how Social Security data could be used to monitor, on a continual basis, our progress toward eradicating significant mortality differentials in the United States.