The Impact of Increased Tax Subsidies on the Insurance Coverage of Self-Employed Families: Evidence from the 1996-2004 Medical Expenditure Panel Survey

2009 ◽  
Vol 44 (1) ◽  
pp. 115-139 ◽  
Author(s):  
Thomas M. Selden
2021 ◽  
Vol 111 (12) ◽  
pp. 2157-2166
Author(s):  
Samuel H. Zuvekas ◽  
David Kashihara

The COVID-19 pandemic caused substantial disruptions in the field operations of all 3 major components of the Medical Expenditure Panel Survey (MEPS). The MEPS is widely used to study how policy changes and major shocks, such as the COVID-19 pandemic, affect insurance coverage, access, and preventive and other health care utilization and how these relate to population health. We describe how the MEPS program successfully responded to these challenges by reengineering field operations, including survey modes, to complete data collection and maintain data release schedules. The impact of the pandemic on response rates varied considerably across the MEPS. Investigations to date show little effect on the quality of data collected. However, lower response rates may reduce the statistical precision of some estimates. We also describe several enhancements made to the MEPS that will allow researchers to better understand the impact of the pandemic on US residents, employers, and the US health care system. (Am J Public Health. 2021;111(12):2157–2166. https://doi.org/10.2105/AJPH.2021.306534 )


Author(s):  
Julie L. Hudson ◽  
Thomas M. Selden ◽  
Jessica S. Banthin

In this paper we use the Medical Expenditure Panel Survey between 1996 and 2002 to investigate the impact of the State Children's Health Insurance Program (SCHIP) on insurance coverage for children. We explore a range of alternative estimation strategies, including instrumental variables and difference-in-trends models. We find that SCHIP had a significant impact in decreasing uninsurance and increasing public insurance for both children targeted by SCHIP and those eligible for Medicaid. With respect to changes in private coverage our results are less conclusive: some specifications resulted in no significant effect of SCHIP on private insurance coverage, while others showed significant decreases in private insurance. Associated estimates of SCHIP crowd-out had wide confidence intervals and were sensitive to estimation strategy.


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