Detecting errors in the Current Population Survey: a matching approach

2004 ◽  
Vol 82 (2) ◽  
pp. 189-194 ◽  
Author(s):  
Shuaizhang Feng
2021 ◽  
pp. 107755872110008
Author(s):  
Edward R. Berchick ◽  
Heide Jackson

Estimates of health insurance coverage in the United States rely on household-based surveys, and these surveys seek to improve data quality amid a changing health insurance landscape. We examine postcollection processing improvements to health insurance data in the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), one of the leading sources of coverage estimates. The implementation of updated data extraction and imputation procedures in the CPS ASEC marks the second stage of a two-stage improvement and the beginning of a new time series for health insurance estimates. To evaluate these changes, we compared estimates from two files that introduce the updated processing system with two files that use the legacy system. We find that updates resulted in higher rates of health insurance coverage and lower rates of dual coverage, among other differences. These results indicate that the updated data processing improves coverage estimates and addresses previously noted limitations of the CPS ASEC.


Author(s):  
Jun Zhang ◽  
Yanghao Wang ◽  
Steven T. Yen

The Supplemental Nutrition Assistance Program (SNAP) is designed to improve household diet and food security—a pressing problem confronting low-income families in the United States. Previous studies on the issue often ignored the methodological issue of endogenous program participation. We revisit this important issue by estimating a simultaneous equation system with ordinal household food insecurity. Data are drawn from the 2009–2011 Current Population Survey Food Security Supplement (CPS-FSS), restricted to SNAP-eligible households with children. Our results add to the stocks of empirical findings that SNAP participation ameliorates food insecurity among adults only, but increases the probabilities of low and very low food security among children. These contradictory results indicate that our selection approach with a single cross section is only partially successful, and that additional efforts are needed in further analyses of this complicated issue, perhaps with longitudinal data. Socio-demographic variables are found to affect food-secure households and food-insecure households differently, but affect SNAP nonparticipants and participants in the same direction. The state policy tools, such as broad-based categorical eligibility (BBCE) and simplified reporting, can encourage SNAP participation and thus ameliorate food insecurity. Our findings can inform policy deliberations.


ILR Review ◽  
1995 ◽  
Vol 48 (4) ◽  
pp. 792-811 ◽  
Author(s):  
Edward Funkhouser ◽  
Stephen J. Trejo

Using data from special supplements to the Current Population Survey (CPS), the authors track the education and hourly earnings of recent male immigrants to the United States. In terms of these measures of labor market skills, the CPS data suggest that immigrants who came in the late 1980s were more skilled than those who arrived earlier in the decade. This pattern represents a break from the steady decline in immigrant skill levels observed in 1940–80 Census data. Despite the encouraging trend over the 1980s, however, the average skills of recent immigrants remain low by historical standards.


2019 ◽  
Vol 35 (1) ◽  
pp. 189-202
Author(s):  
Brett O’Hara ◽  
Carla Medalia ◽  
Jerry J. Maples

Abstract Most research on health insurance in the United States uses the Current Population Survey Annual Social and Economic Supplement. However, a recent redesign of the health insurance questions disrupted the historical time trend in 2013. Using data from the American Community Survey, which has a parallel trend in the uninsured rate, we model a bridge estimate of the uninsured rate using the traditional questions. Also, we estimate the effect of changing the questionnaire. We show that the impact of redesigning the survey varies substantially by subgroup. This approach can be used to produce bridge estimates when other questionnaires are redesigned.


2001 ◽  
Vol 43 (8) ◽  
pp. 680-686 ◽  
Author(s):  
Donald R. Shopland ◽  
Karen K. Gerlach ◽  
David M. Burns ◽  
Anne M. Hartman ◽  
James T. Gibson

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