Immigrants and the Great Divergence

Andrew Padovani
Andrew Padovani,
PhD Student, Economics, UC Davis

Andrew J. Padovani was born and raised in California's Central Valley and earned a Bachelor's of Science in Economics, with a minor in Mathematics, from University of the Pacific in Stockton, CA. After graduating in 2008, Andrew spent 4 years working at the Center for Business and Policy Research (CBPR) at University of the Pacific. While at CBPR, he studied a wide range of topics in the Central Valley, including the 2008 housing crisis, demographic change, health care, and worker commuting, and was the lead researcher and author of the Regional Analyst quarterly publication, produced in cooperation with the San Joaquin Council of Governments (SJCOG). In 2012, Andrew left CBPR to pursue a PhD in Economics at University of California, Davis.

Andrew is currently a fifth-year PhD student in the Economics department at U.C. Davis. His research focuses on the interaction between worker skill, geographic sorting, and inequality in the United States. His research interests are Labor economics, Regional & Urban economics, Inequality, and Econometrics.

Thursday, May 25, 2017
12:00 - 1:00PM
2203 SS&H (Andrews Conference Room)

Click here to register (Deadline: May 23, 6pm)

An extensive literature has studied the spatial sorting of workers by skill since the 1980s. This paper extends the existing literature by using Census microdata to show that geographicsorting is also nativity-biased, and that immigrant workers sort into cities with higher wages and inelastic housing supplies. I use a spatial equilibrium model to predict worker sorting across housing supply elasticity in response to changes in local labor demand. I find that local labor demand shocks are a strong predictor of the observed skill- and nativity-biased sorting when the elasticity of migration for immigrants is greater than for natives.