丁香园AV

Doug Allen

Allen studies the economics of organization, and is currently applying his models to the settlement of the West. He is examining why homesteading was such a significant part of settlement, and what were the determinants and long run effects of violence on the frontier. 

Minjie Deng

Deng studies the impact of remittances on government debt default risk. She and her peers propose an explanation on why remittances could in fact increase government default risk. This research has implications when looking at world financial cycles and global trade. The framework enables them to study the extent to which international retrenchment in the post-Brexit era of trade skepticism can account for worsening credit conditions for emerging market sovereigns.

Michael Gilraine

Gilraine鈥檚 research focuses on better measurement in education: both in terms of teachers' contributions to learning and harnessing machine learning to use raw item-level test responses to better measure student progress.  This research could be helpful when considering the use of teacher evaluation systems and developing early warning systems to flag students for additional support.

Dongwoo Kim

Kim鈥檚 paper develops a flexible multidimensional matching framework to study worker-job matching, technological progress, and wage inequality. He and his peers find that technological progress in recent decades has enhanced the synergy between cognitive workers and jobs, contributing to wage polarization.

Pierre Mouganie

Mouganie uses quasi-experimental research methods and large administrative datasets to provide insights into policy issues related to the education and labor market.

His work focuses on understanding how social environment (peer effects, role model effects, etc...) and disruptions to the human capital formation process can impact individuals' future trajectories. He also has work looking at the returns to university quality as well as high school quality.

Kevin Schnepel

Schnepel is conducting several research projects that explore the causal determinants of criminal activity, with a focus on the social, health, and environmental factors that influence criminal behavior. He also evaluates the impacts of criminal justice policies through causal analysis. Professor Schnepel is particularly eager to mentor students interested in working with administrative data from Canada, particularly on projects related to crime and the criminal justice system. Recently, Statistics Canada has linked court records to earnings and other datasets within the Statistics Canada Research Data Centres (RDCs), and he welcomes opportunities to support student research that utilizes this valuable data.

Xiaoting Sun

Sun鈥檚 research estimates causal peer effects while accounting for potential bias arising from sorting across schools. In contrast to conventional estimates that ignore sorting patterns, their unbiased methodology reveals substantially different implications for school peer effects and effectiveness.