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Learn from the top minds at Peking University and the University of Chicago. Engage in an intensive academic training experience to tackle real social issues using an evidence-based approach.
Before the program begins, June 29 - July 10, IPAL participants will have free access to the optional pre-program module to learn applied econometrics skills taught by Peking University. Students can anticipate approximately 30 hours per week for this course. Half of the time will be live, synchronous lectures in a virtual classroom. Students admitted into IPAL will received instructions on how to register for this optional module.
Basic knowledge of statistics is a prerequisite to participate in the IPAL program. Students with little or no coding experience ought to participate in this self-paced online course in R programming between June 29 and July 5, 2020
Designed for students with little or no coding experience, this course introduces you to the tools required to write and share code; translate self-contained questions into R programs; and learn how to retrieve, clean, visualize, and analyze data. Students can anticipate approximately 10 hours per week for this course.
Students admitted into IPAL will received instructions on how to register for this optional module.
During Week 1, July 6 - 12, students will join a mix of live virtual sessions. This week contains live TA sessions as a refresher course on R Programming. This week will review the key functions that will be utilized in Week 2 and Week 3 of the program. This week also includes live orientation activities so you can connect with the program faculty, administrators, and your global peers.
During Week 2, July 13 - 19, you will learn econometrics methodology and skills led by Peking University. This course will provide you with a comprehensive understanding of the econometric modeling tools that are frequently used in empirical economic research. You will access and watch about 20 hours of lecture videos and participate in 10 hours of live sessions with faculty and teaching assistants.
During Week 3, July 20 - 26, you will analyze real datasets and research on an international policy topic led by the University of Chicago.
You will work in small groups led by faculty director Austin Wright on a capstone project, conducting a comprehensive policy analysis using real datasets. The project enables you to work through real world problems and collaborate with peers and faculty to design a solution.
Conflict and Insurgent Learning (PDF, 4 pages): How do insurgents learn and adapt to their enemies?
Cyber Attacks and Stock Market Prices: Do company strategically decide on the timing to release the hack news?
Hate Crimes in the United States (PDF, 4 pages): What are the trends and implications of hate crime reporting?
Austin L. Wright is an assistant professor at the University of Chicago Harris School of Public Policy. His research leverages microlevel data to study the political economy of conflict and crime in Afghanistan, Colombia, Indonesia, and Iraq. His work is supported by the National Science Foundation, Niehaus Center for Global Governance, The Asia Foundation, and World Bank.
Read Austin Wright's full bio.
Xuezheng Qin is a professor and deputy dean in the School of Economics at Peking University, and the director of the Peking University Research Center for Market Economy. Dr. Qin’s primary research interests include health economics, economics of human capital, and applied econometrics.
Junjian Yi is an assistant professor at the National University of Singapore. His research focuses on medical and health economics, labor and demographic economics, economics of human capital, and applied econometrics.