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.

Curriculum

Peking University Applied Econometrics Pre-program Module (Optional)

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. 

Programming in R Prerequisite Course (Optional)

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. 

Week 1: Introduction to Programming in R

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. 

Week 2: Policy Analysis and Causal Inferences 

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. 

Week 3: Faculty-led Capstone Project

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. 

Past capstone projects include:

  • 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?


“The capstone project is an opportunity for students to take the skills that they have acquired from the program and start to think about: ‘How do I ask and answer a really important research question rigorously?’”

Austin Wright, Assistant Professor, Harris Public Policy, The University of Chicago

Program Schedule

Pre-Programming (Optional)

Week Key Course Content  
June 29 - July 3 - Programming in R optional course (UChicago) Optional
June 29 - July 3 - Programming in R optional course (UChicago)
- Applied econometrics optional course (PKU)
Optional
June 29 - July 10  - Applied econometrics course (PKU) Optional

Programming (Required)

Week Key Course Content  
July 6 - July 12 - Program orientation week
- Programming in R  
Required
July 13 - July 19 - Policy Analysis and Causal Inferences Required
July 20 - July 26 - Faculty-led Capstone Project Required

“The economic theories and methods can be a powerful toolkit serving the analysis of social phenomena and public policy.”

PROFESSOR DONG ZHIYONG Dean of School of Economics, Peking University

Program Faculty

Austin L. Wright
Austin L. Wright

Austin L. Wright

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
Xuezheng Qin

Xuezheng Qin

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
Junjian Yi

Junjian Yi

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.