Inaccurate age and sex data in the Census PUMS files: evidence and implications

Public Opinion Quarterly (Impact Factor: 2.25). 01/2010; DOI: 10.2307/40927730
Source: RePEc

ABSTRACT We examine the physical and mental health effects of providing care to an elderly mother on the adult child caregiver. We address the endogeneity of the selection in and out of caregiving using an instrumental variable approach, and carefully control for baseline health and work status of the adult child using fixed effects and Arellano-Bond estimation techniques. Continued caregiving over time increases depressive symptoms for married women and married men. In addition, the increase in depressive symptoms is persistent for married men. Depressive symptoms for single men and women are not affected by continued caregiving. There is a small protective effect on the likelihood (10%) of having any heart conditions among married women who continue caregiving. Robustness checks confirm that the increase in depressive symptoms and decrease in likelihood of heart conditions can be directly attributable to caregiving behavior, and not due to a direct effect of the death of the mother. The initial onset of caregiving, by contrast, has no immediate effects on physical or mental health for any subgroup of caregivers.

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    ABSTRACT: In a recent paper in the Journal of Human Resources, Dynarski (2008) used data from the 1 percent 2000 Census Public Use Microdata Sample (PUMS) files to demonstrate that merit scholarship programs in Georgia and Arkansas increased the stock of college-educated individuals in those states. This paper replicates the results in Dynarski (2008) but we also find important differences in the results between the 1 percent and 5 percent PUMS, especially for women. We also demonstrate that the author’s use of clustered standard errors, given the small number of clusters and only two policy changes, severely understates confidence intervals.
    Journal of Human Resources 02/2011; 47(1).
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    ABSTRACT: The labor force participation rates of men and women aged 62-79 have notably increased since the mid-1990s. The result is a dramatic increase in the share of total money income attributable to earnings. For persons aged 65-69, the earnings share of total income increased from 28 percent in 1980 to 42 percent in 2009. For this age group in the late 1980s and early 1990s, Social Security benefits and earnings were roughly equal shares of total money income (about 30 percent); the earnings share is now more than 12 percentage points larger. When we focus on aged persons who receive Social Security benefits, earnings shares have increased markedly throughout the 62-79 age range since the early 1990s. We show that for aged persons with labor market earnings, those earnings have a large effect on their relative position in the distribution of annual money income of older Americans.
    Social security bulletin 01/2012; 72(1):59-77.
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    ABSTRACT: I test if selective out-migration of unhealthy seniors explains why disability rates are so much lower for Florida, as compared to the national average. This particular area of research is timely given the significant demographic changes relating to aging. Moreover, this study contributes to the body of literature examining migration with respect to disability and widowhood. Using State Federal Information Processing Standard (FIPS) and Public Use Microdata Areas (PUMA), I create national maps showing disability rates for the following age-groups: 50–59, 60–69, and 70+. After creating maps in ARCGIS and conducting univariate and clustering analysis on mobility disability and personal care limitation, I employ multinomial logit (MNL) analysis to test if individuals with disability are more likely to out-migrate from Florida. The regression analyses lend support to the relaxed Litwak and Longino (The Gerontologist, 27(3): 266–272, 1987) second-move hypothesis, which claims individuals with progressively worse health are more likely to undertake another move to be closer to family and friends. I state “relaxed” because the data does not allow one to determine the reason for migration—only that migration occurred during the past year. This research informs policy-makers to recognize that elderly in better health may migrate to places such as Arizona and Florida due to amenity-seeking behavior, but unhealthy elderly are more likely to leave these states due to assistance-seeking behavior. This out-migration can place excess demand on health services for the incoming regions, which requires state and local government to ensure resources are in place. Also noteworthy, my results are less likely to be flawed by erroneous age and sex data in the public use microdata samples (IPUMS) since I stack the 2006 and 2007 American Community Survey (ACS). A recent working studies by Alexander et al. (Inaccurate age and sex data in the Census PUMS files: Evidence and implications. Munich: CESifo, 2010) shows inaccuracies in the IPUMS for the 1 and 5% 2000 Census, the 2003–2006 ACS, the 2005–2007 3-year ACS, and the 2004–2009 current population survey (CPS) files. KeywordsElderly migration–Elderly disability–Migration and widowhood
    Population Research and Policy Review 01/2011; 30(6):817-838. · 0.76 Impact Factor


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