(on leave fall 2017)

Educational Background

  • Ph.D., Economics, Rutgers University, New Brunswick, NJ
  • M.A., Economics, Georgetown University, Washington, D.C.
  • B.A., Economics, National Taiwan University, Taipei, Taiwan

Research Interests

  • Labor economics
  • Applied econometrics
  • Chinese economy
  • Immigration, migration, minimum wages, inequality, poverty

Courses

  • ECON 259 Intermediate Mathematical Microeconomics
  • ECON 341 Econometrics
  • ECON 311 Labor Economics
  • ECON 333 China and East Asia Economies

Recent Activities

Carl Lin is an assistant professor at Bucknell University, a research fellow at IZA (Institute for the Study of Labor) in Bonn, Germany, and a research fellow at China Institute for Income Distribution in Beijing, China. His research is in the areas of labor economics and applied econometrics in which he focuses on immigration, minimum wages, inequality, poverty, and Chinese economy.

He recently published an article in the Singapore Economic Review on Taiwanese immigrants in the US labor market and an article in Review of International Economics on the economic assimilation of immigrants from mainland China, Hong Kong, and Taiwan in the US. One of his works also studies the impact of high-skilled immigrants on firm profits in the US.

His current work includes the analysis of impacts of the minimum wage policy on employment, wages, inequality, poverty, and human capital investment in China. He also works on topics of rural-urban migrants in the Chinese labor market.

Selected Publications

Lin, Carl. 2015 "How Do Immigrants from Taiwan Fare in the U.S. Labor Market?" Singapore Economic Review, 60(3)

Barr, Tavis and Carl Lin. 2015 "A Detailed Decomposition of Synthetic Cohort Analysis." Economics Letters, 127(0), 76-80.

Lin, Carl. 2013. "Earnings Gap, Cohort Effect and Economic Assimilation of Immigrants from Mainland China, Hong Kong and Taiwan in the United States." Review of International Economics, 21(2), 249-65.

Lin, Carl. 2013. "Decomposing Abnormal Returns in Stochastic Linear Models." Economics Letters, 118(1), 143-47.

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