The Impact of the Macroeconomy on Health Insurance Coverage: Evidence from the Great Recession

Abstract

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Careful in the Crisis? Determinants of Older People's Informal Care Receipt in Crisis‐Struck European Countries

“…To measure the severity of the Great Recession, we focus on changes in unemployment. This is in line with the large literature measuring the relationship between macroeconomic fluctuations and health inputs and outcomes (Ruhm, 2000(Ruhm, , 2003(Ruhm, , 2004Cawley et al, 2015;Cawley and Simon, 2005), and besides, the previous literature suggests that unemployment is a better predictor of health outcomes and inputs than other measures of macroeconomic fluctuations (Cawley et al, 2015;Stuckler et al, 2009). To measure fluctuations in unemployment directly associated with the Great Recession, we follow Keegan et al (2013) and quantify the unemployment change in the recessionary period, 2007-2009.…”

“…Some previous studies include the location specific unemployment rate instead of constructing a specific measure of recession severity (Ruhm, 2000(Ruhm, , 2003(Ruhm, , 2004Cawley et al, 2015; (2) and (3) show real GDP per capita and unemployment rate in the last quarter before the beginning of the crisis (i.e., the peak quarter). Column (4) lists the duration of the crisis in quarters, while the last two columns show the percentage decline (absolute value) in real GDP and percentage point change in the unemployment rate from output peak-to-through, respectively.…”

Access to Health Insurance and Utilization of Substance Use Disorder Treatment: Evidence from the Affordable Care Act Dependent Coverage Provision

“…This recession did not have a uniform labor market effect: young adults experienced worse outcomes (e.g., higher levels of unemployment) than slightly older adults (Bureau of Labor Statistics, 2014). Moreover, access to private health insurance is tightly linked to employment over our study period (Cawley et al, 2015).…”

Substance Use Treatment Provider Behavior and Healthcare Reform: Evidence from Massachusetts

“…First, we merge in demographic variables (sex, age, race/ethnicity, education, family income, and insurance coverage 11 ) from the Annual Social and Economic Supplement to the Current Population Survey (ASEC) into the N-SSATS on state and year. Economic conditions may influence insurance coverage and need for SUD treatment (Cawley et al, 2015;Davalos et al, 2012). We proxy economic conditions with the seasonally adjusted annual state unemployment rate from the Bureau of Labor Statistics Local Area Unemployment Statistics database.…”