The past thirty years have seen a dramatic decline in the rate of income convergence across states and in population flows to high-income places. These changes coincide with a disproportionate increase in housing prices in high-income places, a divergence in the skill-specific returns to moving to high-income places, and a redirection of low-skill migration away from high-income places. We develop a model in which rising housing prices in high-income areas deter low-skill migration and slow income convergence. Using a new panel measure of housing supply regulations, we demonstrate the importance of this channel in the data.

Vaidya, and other members of the JP Morgan Chase Institute for their support, contributions, and insights. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w27617.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Using de-identified bank account data, we show that spending drops sharply at the large and predictable decrease in income arising from the exhaustion of unemployment insurance (UI) benefits. We use the high-frequency response to a predictable income decline as a new test to distinguish between alternative consumption models. The sensitivity of spending to income we document is inconsistent with rational models of liquidity-constrained households, but is consistent with behavioral models with present-biased or myopic households. Depressed spending after exhaustion also implies that the consumption-smoothing gains from extending UI benefits are four times larger than from raising UI benefit levels. (JEL D14, D91, E21, E24, E70, J65)

One-in-seven Americans received benefits from the Supplemental Nutrition Assistance Program in 2011, an all-time high. We analyze changes in program enrollment over the past two decades, quantifying the contributions of unemployment and state policy changes. Using instrumental variables to address measurement error, we estimate that a 1 percentage point increase in unemployment raises enrollment by 15 percent. Unemployment explains most of the decrease in enrollment in the late 1990s, state policy changes explain more of the increase in enrollment in the early 2000s, and unemployment explains most of the increase in enrollment in the aftermath of the Great Recession. (JEL E24, E32, H53, H75, I12, I18, I58)