The Impact of Macroeconomic Conditions on the Health Insurance Coverage of Americans
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 378855387 | ||
| 003 | CHVBK | ||
| 005 | 20180305123333.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 161128e20030101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.2202/1558-9544.1047 |2 doi |
| 035 | |a (NATIONALLICENCE)gruyter-10.2202/1558-9544.1047 | ||
| 245 | 0 | 4 | |a The Impact of Macroeconomic Conditions on the Health Insurance Coverage of Americans |h [Elektronische Daten] |c [John Cawley, Kosali I. Simon] |
| 520 | 3 | |a In March 2001, the longest economic expansion in U.S. history ended, and an economic recession began. This paper seeks to provide a better understanding of the historical relationship between macroeconomic variables and health insurance coverage.We use data from two nationally representative samples: the Survey of Income and Program Participation (SIPP) and the National Longitudinal Survey of Youth (NLSY). The longitudinal nature of our data allows us to remove individual-specific, time-invariant heterogeneity and to focus on changes in health insurance status in response to changes in macroeconomic variables.The results confirm our prediction that the probability of any health insurance coverage is negatively associated with unemployment rate. We find that a one percentage point increase in the state unemployment rate is associated with a decrease in the probability of health insurance coverage, through any source, of 0.62 percent for men, 0.54 percent for women, and 1.1 percent for children. However, our prediction that an indicator variable for national recession would be negatively correlated with the probability of health insurance coverage is not supported by the data. We find that changes in employment status explain roughly one-quarter of the correlation between health insurance coverage and unemployment rates. Our estimates imply that 440,000 men, 436,000 women, and 494,000 children have lost health insurance coverage during the current recession. | |
| 540 | |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston | ||
| 700 | 1 | |a Cawley |D John |u Cornell University and NBER |4 aut | |
| 700 | 1 | |a Simon |D Kosali I. |u Cornell University and NBER |4 aut | |
| 773 | 0 | |t Forum for Health Economics & Policy |d De Gruyter |g 6/1(2003-01-01) |q 6:1 |1 2003 |2 6 |o fhep | |
| 856 | 4 | 0 | |u https://doi.org/10.2202/1558-9544.1047 |q text/html |z Onlinezugriff via DOI |
| 908 | |D 1 |a research article |2 jats | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.2202/1558-9544.1047 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Cawley |D John |u Cornell University and NBER |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Simon |D Kosali I. |u Cornell University and NBER |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Forum for Health Economics & Policy |d De Gruyter |g 6/1(2003-01-01) |q 6:1 |1 2003 |2 6 |o fhep | ||
| 900 | 7 | |b CC0 |u http://creativecommons.org/publicdomain/zero/1.0 |2 nationallicence | |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-gruyter | ||