Queen’s University, Canada, and NYU Shanghai, China
IZA World of Labor role
Associate Professor, School of Policy Studies and Department of Economics, Queen’s University, Canada; Associate Professor of Economics, FAS, NYU Shanghai, China
Economics of education, health economics, public economics, rural developments and urban transitions in China
Project 985 Visiting Scholar, Institute of the Economics of Education, Beijing Normal University, China; Andrew W. Mellon Postdoctoral Fellow, Population Studies Center, University of Michigan, USA; Assistant Professor, School of Policy Studies and Department of Economics, Queen’s University, Canada
PhD Economics, University of Pittsburgh, 2002
"Do peers affect student achievement in China’s secondary schools?" The Review of Economics and Statistics 89:2 (2007): 300–312 (with S. F. Lehrer).
"The impact of poor health on academic performance: New evidence using genetic markers." Journal of Health Economics 28:3 (2009): 578–597 (with S. F. Lehrer, J. N. Rosenquist, and J. Audrain-McGovern).
"Estimating treatment effects from contaminated multi-period education experiments: The dynamic impacts of class size reductions." Review of Economics and Statistics 92:1 (2010): 31–42 (with S. F. Lehrer).
"Accounting for time-varying unobserved ability heterogeneity within education production functions." Economics of Education Review 40:1 (2014): 55–75 (with S. F. Lehrer).
"When a son is born: The impact of fertility patterns on family finance in rural China." China Economic Review 30:C (2014): 192–208 (with Y. Zhang).
There is potential value from incorporating genetic data in the design of effective public policy, but also some risksBoth the availability and sheer volume of data sets containing individual molecular genetic information are growing at a rapid pace. Many argue that these data can facilitate the identification of genes underlying important socio-economic outcomes, such as educational attainment and fertility. Opponents often counter that the benefits are as yet unclear, and that the threat to individual privacy is a serious one. The initial exploration presented herein suggests that significant benefits to the understanding of socio-economic outcomes and the design of both social and education policy may be gained by effectively and safely utilizing genetic data.MoreLess