Does Homeownership Prolong the Duration of Unemployment?

We examine the effects of homeownership on individuals' unemployment durations. An unemployment spell can terminate with a job or with nonparticipation. The endogeneity of homeownership is addressed by estimating a full maximum likelihood function jointly modeling the competing hazards and the probability of being a homeowner. Unobserved factors contributing to the probability of being a homeowner are allowed to be correlated with unobservable heterogeneity in the hazard rates. Not controlling for ownership selection, there is neither a significant difference in the job-finding hazard nor in the nonparticipation hazard of unemployed owners and renters. If we jointly model the ownership selection, we find that unemployed homeowners are more likely to find a job than renters

Financial Structure and Economic Welfare: Applied General Equilibrium Development Economics

This review provides a common framework for researchers thinking about the next generation of micro-founded macro models of growth, inequality, and financial deepening, as well as direction for policy makers targeting microfinance programs to alleviate poverty. Topics include treatment of financial structure general equilibrium models: testing for as-if-complete markets or other financial underpinnings; examining dual-sector models with both a perfectly intermediated sector and a sector in financial autarky, as well as a second generation of these models that embeds information problems and other obstacles to trade; designing surveys to capture measures of income, investment/savings, and flow of funds; and aggregating individuals and households to the level of network, village, or national economy. The review concludes with new directions that overcome conceptual and computational limitations.National Science Foundation (U.S.)National Institutes of Health (U.S.)Templeton FoundationBill & Melinda Gates Foundatio

Worker Betas: Five Facts about Systematic Earnings Risk

The magnitude of and heterogeneity in systematic earnings risk has important implications for various theories in macro, labor, and financial economics. Using administrative data, we document how the aggregate risk exposure of individual earnings to GDP and stock returns varies across gender, age, the worker's earnings level, and industry. Aggregate risk exposure is U-shaped with respect to the earnings level. In the middle of the earnings distribution, aggregate risk exposure is higher for males, younger workers, and construction and durable manufacturing. At the top of the earnings distribution, aggregate risk exposure is higher for older workers and finance