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WORKING PAPERS AND PRESENTATION SLIDES FROM 2020 PROGRAM

*Presenter

Michael Greenstone, The University of Chicago; Guojun He, The Hong Kong University of Science and Technology*; Ruixue Jia, University of California San Diego; Tong Liu, The Hong Kong University of Science and Technology
Can Technology Solve the Principal-Agent Problem? Evidence from China’s War on Air Pollution
Paper | Presentation Slides

Sumit Agarwal, National University of Singapore; Keyang Li, Tsinghua University*; Yu Qin, National University of Singapore; Jing Wu, Tsinghua University
The Impact of Fertility Relaxation on Female Labor Market Outcomes
Paper| Presentation Slides

Benny Kleinman, Princeton University; Ernest Liu, Princeton University*; Stephen J. Redding, Princeton University, NBER and CEPR
International Friends and Enemies
Paper| Presentation Slides

Jingting Fan, Pennsylvania State University; Yi Lu, Tsinghua University; Wenlan Luo, Tsinghua University*
Valuing Domestic Transport Infrastructure: A View from the Route Choice of Exporters
Presentation Slides

Michael Rubens, University of California, Los Angeles
Market Structure, Oligopsony Power and Productivity
Paper| Presentation Slides

Jesús Fernández-Villaverde, University of Pennsylvania; Mark Koyama, George Mason University; Youhong Lin, Guangdong University of Foreign Studies; Tuan-Hwee Sng, National University of Singapore*
Fractured-Land and Political Fragmentation
Paper | Presentation Slides

Gaurav Khanna, University of California, San Diego; Wenquan Liang, Jinan University; A. Mushfiq Mobarak, Yale University, NBER and CEPR; Ran Song, National University of Singapore*
The Productivity Consequences of Pollution-Induced Migration in China

Bei Qin, The University of Hong Kong; David Stromberg, University of Stockholm; Yanhui Wu, The University of Hong Kong*
Social Media and Protests in China
Paper

Martin Beraja, Massachusetts Institute of Technology and NBER; David Yang, Harvard University and NBER*; Noam Yuchtman, The London School of Economics and Political Science, NBER, and CESifo
Data-intensive Innovation and the State: Evidence from AI Firms in China
Paper