Ethan G. Lewis
From Wikipedia, the free encyclopedia
Econometrics
Ethan Lewis | |
|---|---|
| Academic background | |
| Alma mater | UC Berkeley Williams College |
| Academic work | |
| Discipline | Labour Economics Econometrics |
| Institutions | Dartmouth College, Associate Professor of Economics |
| Website | |
Ethan Lewis is a labor economist and Professor of Economics at Dartmouth College. His fields of specialization are labor economics and econometrics with a specific interest in how U.S. labor markets have adapted to immigration and technological change.[1]
Prior to Dartmouth, Lewis was a visiting scholar at the Federal Reserve Bank of San Francisco and an economist in the Research Department of the Federal Reserve Bank of Philadelphia.[2]
Lewis earned his Ph.D. in Economics from UC Berkeley in 2003. He graduated magna cum laude and Phi Beta Kappa with a B.A. in Economics from Williams College in 1995.[3]
Research
Lewis' research has been mentioned in the press numerous times by outlets such as The New York Times ,[4] The Wall Street Journal,[5] The Economist,[6] NPR,[7] and C-SPAN.[8]
In recent work, he has studied how immigration waves advanced the Second Industrial Revolution and a study of how manufacturing firms adapt production technology to employ less-skilled immigrants. He has also studied how native-born families react to increasing enrollments of immigrant children in public schools.[9]
Selected works
- Ethan Lewis. "Immigration, skill mix, and capital skill complementarity." The Quarterly Journal of Economics 126 (2), 1029-1069
- P Beaudry, M Doms, E Lewis. "Should the personal computer be considered a technological revolution? Evidence from US metropolitan areas." Journal of Political Economy 118 (5), 988-1036
- E Cascio, N Gordon, E Lewis, S Reber. "Paying for progress: Conditional grants and the desegregation of southern schools." The Quarterly Journal of Economics 125 (1), 445-482
- P Beaudry, E Lewis. "Do male-female wage differentials reflect differences in the return to skill? Cross-city evidence from 1980-2000." American Economic Journal: Applied Economics 6 (2), 178-94