This paper fills an important void assessing how the use of stock outcomes as compared to flow outcomes may yield disparate results in empirical analyses, despite often being used interchangeably. We compare analyses using a stock outcome, marital status, to those using a flow
outcome, entry into marriage, from the same dataset, the American Community Survey. This paper considers two different questions and econometric approaches using these alternative measures: the effect of the Affordable Care Act young adult provision on marriage using a difference-indifferences
approach and the relationship between aggregate unemployment rates and marriage rates using a simpler ordinary least squares regression approach. Results from both analyses show stock and flow data yield divergent results in terms of sign and significance. Additional analyses suggest prior-period temporary shocks and migration may contribute to this discrepancy. These results suggest using caution when conducting analyses using stock data as they may produce false negative results or spurious false positive results, which could in turn give rise to misleading policy implications.
-
Planning Parenthood: The Affordable Care Act Young Adult Provision and Pathways to Fertility
January 2017
Working Paper Number:
CES-17-65
This paper investigates the effect of the Affordable Care Act young adult provision on fertility and related outcomes. The expected effect of the provision on fertility is not clear ex ante. By expanding insurance coverage to young adults, the provision may affect fertility directly through expanded options for obtaining contraceptives as well as through expanded options for obtaining pregnancy-, birth-, and infant-related care, and these may lead to decreased or increased fertility, respectively. In addition, the provision may also affect fertility indirectly through marriage or labor markets, and the direction and magnitude of these effects is difficult to determine. This paper considers the effect of the provision on fertility as well as the contributing channels by applying difference-in-differences-type methods using the 2008-2010 and 2012-2013 American Community Survey, 2006-2009 and 2012-2013 Centers for Disease Control and Prevention abortion surveillance data, and 2006-2010 and 2011-2013 National Survey of Family Growth. Results suggest that the provision is associated with decreases in the likelihood of having given birth and abortion rates and an increase in the likelihood of using long-term hormonal contraceptives.
View Full
Paper PDF
-
Response Error & the Medicaid undercount in the CPS
December 2016
Working Paper Number:
carra-2016-11
The Current Population Survey Annual Social and Economic Supplement (CPS ASEC) is an important source for estimates of the uninsured population. Previous research has shown that survey estimates produce an undercount of beneficiaries compared to Medicaid enrollment records. We extend past work by examining the Medicaid undercount in the 2007-2011 CPS ASEC compared to enrollment data from the Medicaid Statistical Information System for calendar years 2006-2010. By linking individuals across datasets, we analyze two types of response error regarding Medicaid enrollment - false negative error and false positive error. We use regression analysis to identify factors associated with these two types of response error in the 2011 CPS ASEC. We find that the Medicaid undercount was between 22 and 31 percent from 2007 to 2011. In 2011, the false negative rate was 40 percent, and 27 percent of Medicaid reports in CPS ASEC were false positives. False negative error is associated with the duration of enrollment in Medicaid, enrollment in Medicare and private insurance, and Medicaid enrollment in the survey year. False positive error is associated with enrollment in Medicare and shared Medicaid coverage in the household. We discuss implications for survey reports of health insurance coverage and for estimating the uninsured population.
View Full
Paper PDF
-
Errors in Survey Reporting and Imputation and Their Effects on Estimates of Food Stamp Program Participation
April 2011
Working Paper Number:
CES-11-14
Benefit receipt in major household surveys is often underreported. This misreporting leads to biased estimates of the economic circumstances of disadvantaged populations, program takeup, and the distributional effects of government programs, and other program effects. We use administrative data on Food Stamp Program (FSP) participation matched to American Community Survey (ACS) and Current Population Survey (CPS) household data. We show that nearly thirty-five percent of true recipient households do not report receipt in the ACS and fifty percent do not report receipt in the CPS. Misreporting, both false negatives and false positives, varies with individual characteristics, leading to complicated biases in FSP analyses. We then directly examine the determinants of program receipt using our combined administrative and survey data. The combined data allow us to examine accurate participation using individual characteristics missing in administrative data. Our results differ from conventional estimates using only survey data, as such estimates understate participation by single parents, non-whites, low income households, and other groups. To evaluate the use of Census Bureau imputed ACS and CPS data, we also examine whether our estimates using survey data alone are closer to those using the accurate combined data when imputed survey observations are excluded. Interestingly, excluding the imputed observations leads to worse ACS estimates, but has less effect on the CPS estimates.
View Full
Paper PDF
-
EXAMINING THE LONG TERM MORTALITY EFFECTS OF EARLY HEALTH SHOCKS
March 2014
Working Paper Number:
CES-14-19
A growing literature in economics and other disciplines has tied exposure to early health shocks, particularly in utero influenza, to reductions in a variety of socioeconomic and health outcomes over the life course. However, no current evidence exists that examines this health shock on mortality because of lack of available data. This paper uses newly released files from the large, representative National Longitudinal Mortality Study to explore the mortality effects of the 1918 influenza pandemic for those in utero. While the results on socioeconomic outcomes mimic those in the literature, showing reductions in completed schooling and income fifty years following influenza exposure, the findings also suggest no effect on overall mortality or by categories of cause-of-death. These results are counter-intuitive in their contrast with the many reported effects on cardiovascular health as well as the literature linking education with later mortality
View Full
Paper PDF
-
Stability and Change in Individual Determinants of Migration: Evidence from 1985-1990 and 1995 to 2000
November 2006
Working Paper Number:
CES-06-27
In this paper, we compare the reliability of migration estimates from two rather different macroeconomic periods in recent U.S. history. One of these periods, 1985-1990 coincides with the culmination of a vast industrial restructuring which saw a significant decline in manufacturing employment. The other period, 1995-2000, encompasses a time of robust economic growth and tight labor markets driven by productivity gains associated with new technologies. Our interest here is in the stability of common individual-level predictors of migration in these rather disparate macroeconomic contexts. Using confidential internal versions of the 1990 and 2000 Census long-form data, we estimate logistic models of the likelihood that individuals will migrate. The geographic detail in the internal Census data permits us to measure migration in ways that are not possible with public-domain Census data on persons. We develop migration definitions that distinguish between local residential mobility likely associated with life course transitions from migration out of the labor market area that may be driven more by employment and other socioeconomic considerations. Using logistic modeling, we find that the same individual attributes predict migration reasonably well during both periods. We also compute some illustrative probabilities of migration that show temporal stability in migration predictors could be lessened by certain changes in population composition.
View Full
Paper PDF
-
The Impact of Welfare Waivers on Female Headship Decisions
February 2003
Working Paper Number:
CES-03-03
While much of the focus of recent welfare reforms has been on moving recipients from welfare to work, many reforms were also directed at affecting decisions about living arrangements, pregnancy, marriage and cohabitation. This paper focuses on women's decisions to become or remain unmarried mothers, that is, female heads of families. We assess the impact of welfare reform waivers on those decisions while controlling for confounding local economic and social contextual conditions. We pool the 1990, 1992, and 1993 panels of the Survey of Income and Program Participation (SIPP) which span the calendar time when many states began adopting welfare waivers. For its descriptors of local labor market conditions, the project uses skill specific measures of wages and employment opportunities for counties. We estimate models for levels of female headship and proportional hazard models for entry and exit from female headship. In the hazards, we employ stratified Cox partial likelihood methods and investigate the use of state fixed effects or state stratified hazard models to control for unmeasured state influences. Based on data through 1995, we find limited evidence that workencouraging waivers had a beneficial effect by reducing female headship of families. We find little evidence that family caps, teenage coresidence requirements or termination limits will reduce the number of single-parent families.
View Full
Paper PDF
-
Long-Run Earnings Volatility and Health Insurance Coverage: Evidence from the SIPP Gold Standard File
October 2011
Working Paper Number:
CES-11-35
Despite the notable increase in earnings volatility and the attention paid to the growing ranks of the uninsured, the relationship between career earnings and short- and mediumrun health insurance status has been ignored due to a lack of data. I use a new dataset, the SIPP Gold Standard File, that merges health insurance status and demographics from the Survey of Income and Program Participation with career earnings records from the Social Security Administration (SSA) and the Internal Revenue Service (IRS) to examine the relationship between long-run family earnings volatility and health insurance coverage. I find that more volatile career earnings are associated with an increased probability of experiencing an uninsured episode, with larger effects for men, young workers, and the unmarried. These findings are consistent with the 'scarring' literature, and suggest the importance of safety-net measures for job losses and health insurance coverage.
View Full
Paper PDF
-
Geographic Immobility in the United States: Assessing the Prevalence and Characteristics of Those Who Never Migrate Across State Lines Using Linked Federal Tax Microdata
March 2025
Working Paper Number:
CES-25-19
This paper explores the prevalence and characteristics of those who never migrate at the state scale in the U.S. Studying people who never migrate requires regular and frequent observation of their residential location for a lifetime, or at least for many years. A novel U.S. population-sized longitudinal dataset that links individual level Internal Revenue Service (IRS) and Social Security Administration (SSA) administrative records supplies this information annually, along with information on income and socio-demographic characteristics. We use these administrative microdata to follow a cohort aged between 15 and 50 in 2001 from 2001 to 2016, differentiating those who lived in the same state every year during this period (i.e., never made an interstate move) from those who lived in more than one state (i.e., made at least one interstate move). We find those who never made an interstate move comprised 75 percent of the total population of this age cohort. This percentage varies by year of age but never falls below 62 percent even for those who were teenagers or young adults in 2001. There are also variations in these percentages by sex, race, nativity, and income, with the latter having the largest effects. We also find substantial variation in these percentages across states. Our findings suggest a need for more research on geographically immobile populations in U.S.
View Full
Paper PDF
-
RESIDENTIAL MOBILITY ACROSS LOCAL AREAS IN THE UNITED STATES AND THE GEOGRAPHIC DISTRIBUTION OF THE HEALTHY POPULATION
February 2014
Working Paper Number:
CES-14-14
Determining whether population dynamics provide competing explanations to place effects for observed geographic patterns of population health is critical for understanding health inequality. We focus on the working-age population where health disparities are greatest and analyze detailed data on residential mobility collected for the first time in the 2000 US census. Residential mobility over a 5-year period is frequent and selective, with some variation by race and gender. Even so, we find little evidence that mobility biases cross-sectional snapshots of local population health. Areas undergoing large or rapid population growth or decline may be exceptions. Overall, place of residence is an important health indicator; yet, the frequency of residential mobility raises questions of interpretation from etiological or policy perspectives, complicating simple understandings that residential exposures alone explain the association between place and health. Psychosocial stressors related to contingencies of social identity associated with being black, urban, or poor in the U.S. may also have adverse health impacts that track with structural location even with movement across residential areas.
View Full
Paper PDF
-
Medicare Coverage and Reporting
December 2016
Working Paper Number:
carra-2016-12
Medicare coverage of the older population in the United States is widely recognized as being nearly universal. Recent statistics from the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) indicate that 93 percent of individuals aged 65 and older were covered by Medicare in 2013. Those without Medicare include those who are not eligible for the public health program, though the CPS ASEC estimate may also be impacted by misreporting. Using linked data from the CPS ASEC and Medicare Enrollment Database (i.e., the Medicare administrative data), we estimate the extent to which individuals misreport their Medicare coverage. We focus on those who report having Medicare but are not enrolled (false positives) and those who do not report having Medicare but are enrolled (false negatives). We use regression analyses to evaluate factors associated with both types of misreporting including socioeconomic, demographic, and household characteristics. We then provide estimates of the implied Medicare-covered, insured, and uninsured older population, taking into account misreporting in the CPS ASEC. We find an undercount in the CPS ASEC estimates of the Medicare covered population of 4.5 percent. This misreporting is not random - characteristics associated with misreporting include citizenship status, year of entry, labor force participation, Medicare coverage of others in the household, disability status, and imputation of Medicare responses. When we adjust the CPS ASEC estimates to account for misreporting, Medicare coverage of the population aged 65 and older increases from 93.4 percent to 95.6 percent while the uninsured rate decreases from 1.4 percent to 1.3 percent.
View Full
Paper PDF