Health insurance improves health and reduces mortality. Expanding insurance is a central feature of the Affordable Care Act (ACA). Persons who use drugs (PWUDs) have historically been at high risk of being uninsured. It is unknown if Appalachian PWUDs, who live in an extremely economically distressed region, are more likely to be insured since implementation of the ACA. Data from a cohort of 503 PWUDs from eastern Appalachian Kentucky, who were interviewed at seven time-points between 2008 and 2017, were analysed using mixed effects regression models.
We document trends in earnings volatility separately by gender in combination with other characteristics such as race, educational attainment, and employment status using unique linked survey and administrative data for the tax years spanning 1995-2015. We also decompose the variance of trend volatility into within- and between-group contributions, as well as transitory and permanent shocks.
We use longitudinal administrative tax data from Washington DC (DC) to study how EITC expansions undertaken by Washington DC affect income and inequality in the city. We find that DC EITC credit expansions between 2001 and 2009 are associated with recipient pre-tax earnings growth of roughly 3-4 percent, primarily among single mothers. Together these credits reduce post-tax inequality for the 10th percentile relative to median households. However, composition changes in the city and growing overall inequality mitigates this inequality reduction toward the end of the period.
This aim of this paper is to assess the economic status of rural people five decades after publication of President Johnson's National Commission on Rural Poverty report The People Left Behind. Using data from the Annual Social and Economic Supplement of the CPS, along with county data from the Regional Economic Information System, I focus on how changes in employment, wages, and the social safety net have influenced the evolution of poverty and inequality in rural and urban places.
We study household income inequality in both Great Britain and the United States and the interplay between labour market earnings and the tax system. While both Britain and the US have witnessed secular increases in 90/10 male earnings inequality over the last three decades, this measure of inequality in net family income has declined in Britain while it has risen in the US. We study the interplay between labour market earnings in the family, assortative mating, the tax and benefit system and household income inequality.
Earnings nonresponse in household surveys is widespread, yet there is limited evidence on whether and how nonresponse bias affects measured earnings. This paper examines the patterns and consequences of nonresponse using internal Current Population Survey individual records linked to administrative Social Security Administrative data on earnings for calendar years 2005-2010. Our findings confirm the conjecture by Lillard, Smith, and Welch (1986) that nonresponse across the earnings distribution is U-shaped. Left-tail “strugglers” and right-tail “stars” are least likely to report earnings.
This paper provides the first nationally representative estimates of how unemployment insurance (UI) generosity in the United States affects the search intensity of unemployed individuals using individual level variation in UI generosity.
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the March survey. If nonresponse is ignorable, unbiased estimates can be achieved by omitting nonrespondents. Little is known about whether CPS nonresponse is ignorable. Using sample frame measures to identify selection, we find clear-cut evidence among men but limited evidence among women for negative selection into response.
We provide a detailed accounting of the trend increase in family income volatility in recent decades by quantifying the contributions of household head earnings, spouse earnings, non-transfer non-labor income, transfer income, and tax payments (inclusive of the refundable Earned Income Tax Credit), along with covariances among the income components. Using twoyear matched panels in the Current Population Survey from 1980 to 2009, we find that the volatility of family income, as measured by the variance of the arc percent change, doubled over the past three decades.
Using data linked across generations in the Panel Study of Income Dynamics, I estimate the relationship between exposure to volatile income during childhood and a set of socioeconomic outcomes in adulthood. The empirical framework is an augmented intergenerational income mobility model that includes controls for income volatility. I measure income volatility at the family level in two ways. First, instability as measured by squared deviations around a family-specific mean, and then as percent changes of 25 percent or more.
