scholarly journals The American Community Survey and Health Insurance Coverage Estimates: Possibilities and Challenges for Health Policy Researchers

2009 ◽  
Vol 44 (2p1) ◽  
pp. 593-605 ◽  
Author(s):  
Michael Davern ◽  
Brian C. Quinn ◽  
Genevieve M. Kenney ◽  
Lynn A. Blewett
Keyword(s):  
Health Policy ◽  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Community Survey ◽  
American Community Survey

ARE HEALTH INSURANCE ITEM ALLOCATIONS IN THE AMERICAN COMMUNITY SURVEY MISSING COMPLETELY AT RANDOM?

2013 ◽  
pp. 1-7
Author(s):  
C. SIORDIA
Keyword(s):  
Health Insurance ◽  
Minority Groups ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Community Survey ◽  
American Community Survey ◽  
Data Sets ◽  
Missing Responses ◽  
Missing Completely At Random ◽  
Racial Ethnic

Background:Item allocation (the assignment of plausible values to missing or illogical responses insurvey studies) is at times necessary in the production of complete data sets. In the American Community Survey(ACS), missing responses to health insurance coverage questions are allocated. Objectives:Because allocationrates may vary as a function of compositional characteristics, this project investigates how seven different healthinsurance coverage items vary in their degree of allocation along basic demographic variables. Methods: Datafrom the ACS 2010 1-year Public Use Microdata Sample file are used in a logistic regression model and tocalculate allocations rates. Results:The findings reveal that: males; people aged 65 and older; those who speakEnglish “very well” or “well”; US citizens; those out-of-poverty; and all racial/ethnic minority groups havehigher odds of experiencing a health insurance item allocation relative to their counterparts. Conclusions: Sincehealth insurance coverage allocations vary by demographic characteristics, further research is needed toinvestigate their mechanisms of missingness and how these may have implications for frailty related research.

scholarly journals Validation of Two Federal Health Insurance Survey Modules After Affordable Care Act Implementation

2019 ◽  
Vol 35 (2) ◽  
pp. 409-460 ◽  
Author(s):  
Joanne Pascale ◽  
Angela Fertig ◽  
Kathleen Call
Keyword(s):  
Health Insurance ◽  
Affordable Care Act ◽  
Population Survey ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Community Survey ◽  
American Community Survey ◽  
Reporting Accuracy ◽  
Percentage Points ◽  
Accurate Reporting

Abstract This study randomized a sample of households covered by one large health plan to two different surveys on health insurance coverage and matched person-level survey reports to enrollment records. The goal was to compare accuracy of coverage type and uninsured estimates produced by the health insurance modules from two major federal surveys – the redesigned Current Population Survey Annual Social and Economic Supplement (CPS) and the American Community Survey (ACS) – after implementation of the Affordable Care Act. The sample was stratified by coverage type, including two types of public coverage (Medicaid and a state-sponsored program) and three types of private coverage (employer-sponsored, non-group, and marketplace plans). Consistent with previous studies, accurate reporting of private coverage is higher than public coverage. Generally, misreporting the wrong type of coverage is more likely than incorrectly reporting no coverage; the CPS module overestimated the uninsured by 1.9 and the ACS module by 3.5 percentage points. Other differences in accuracy metrics between the CPS and ACS are relatively small, suggesting that reporting accuracy should not be a factor in decisions about which source of survey data to use. Results consistently indicate that the Medicaid undercount has been substantially reduced with the redesigned CPS.

Introduction

2017 ◽  
Author(s):  
Jessica M. Mulligan ◽  
Heide Castañeda
Keyword(s):  
Health Policy ◽  
Health Insurance ◽  
Affordable Care Act ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Demographic Characteristics ◽  
Social Identities ◽  
Immigration Status ◽  
Anthropological Approach ◽  
The Law

In this chapter, Jessica M. Mulligan and Heide Castañeda provide an overview of the Affordable Care Act focused on the coverage expansions that were at the heart of the law. The authors outline the ethnographic methods used in the book, arguing that an anthropological approach provides an experience-near perspective on implementation that too often is absent in mainstream treatments of health policy. The central theoretical concerns of the book are also introduced: stratified citizenship, risk, and responsibility. The term stratified citizenship describes how certain social identities and demographic characteristics—such as immigration status, income, gender, race, and state of residence—mediated how people were included or excluded from health insurance coverage through the ACA. Exposure to risks as well as inclusion in the new responsibilities created by the law were also unequally distributed.

Same-Sex Marriage and Gains in Employer-Sponsored Insurance for US Adults, 2008–2017

2020 ◽  
Vol 110 (4) ◽  
pp. 537-539
Author(s):  
Janelle Downing ◽  
Paulette Cha
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Community Survey ◽  
Marriage Equality ◽  
Same Sex ◽  
Difference In Differences ◽  
Same Sex Marriage ◽  
Dependent Coverage

Objectives. To estimate the effects of same-sex marriage recognition on health insurance coverage. Methods. We used 2008–2017 data from the American Community Survey that represent 18 416 674 adult respondents in the United States. We estimated changes to health insurance outcomes using state–year variation in marriage equality recognition in a difference-in-differences framework. Results. Marriage equality led to a 0.61 percentage point (P = .03) increase in employer-sponsored health insurance coverage, with similar results for men and women. Conclusions. US adults gained employer-sponsored coverage as a result of marriage equality recognition over the study period, likely because of an increase in dependent coverage for newly recognized same-sex married partners.

scholarly journals Symbolic politics and self-interest in post-Affordable Care Act health Insurance coverage

2020 ◽  
Vol 7 (3) ◽  
pp. 205316802095510
Author(s):  
Tyler T. Reny ◽  
David O. Sears
Keyword(s):  
Public Policy ◽  
Health Policy ◽  
Health Insurance ◽  
Affordable Care Act ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Symbolic Politics ◽  
Social Scientists ◽  
Self Interest ◽  
Important Test

Social scientists have long shown that self-interest rarely has a large effect on citizens’ sociopolitical attitudes. Instead, Americans’ opinions about public policy are driven more by symbolic predispositions. Yet those opinions about policy may just be cheap talk. When Americans are faced with costly behaviors that pit their interests against their values, perhaps self-interest will play a larger role. Post-Affordable Care Act (ACA) health insurance coverage provides an important test for self-interest and symbolic politics. Faced with costly decisions to pay fines or purchase insurance, did Americans put symbolic politics over material self-interests? Using a monthly tracking poll, we first show that symbolic attitudes overwhelm self-interest in shaping public opinion about health policy. Marshaling data from over one million respondents from Gallup’s Tracking Poll, however, we show that both self-interest and symbolic predispositions are associated with decisions to purchase health insurance under the ACA.

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