We warmly welcome all participants from around the world to the Annual Conference of the International Association of Applied Econometrics (IAAE), held this year at Xiamen University. Since its founding in 1921, Xiamen University has proudly maintained a strong tradition in the field of economics. This conference provides a remarkable platform for us to further our mission of advancing and supporting economics research on a global scale. We wish all participants an enriching and enjoyable experience in Xiamen.
Conference website: https://conf.xmu.edu.cn/iaae2024/index.htm
PROGRAM
Friday, June 7, 2024 Venue N402
08:30-08:45 Welcome Remarks
Chair: Xiaoyi Han, Xiamen University
Zongyi Zhang, President of Xiamen University
Marcelle Chauvet, Director of IAAE
Yinggang Zhou, Dean of School of Economics & WISE, Xiamen University
08:45-09:45 IAAE Lecture
Chair: Heather Anderson, Monash University
Panel Measurement of Treatment Effects (A Nontechnical Review)
Cheng Hsiao, University of Southern California
09:45-10:15 Coffee Break
10:15-11:45 Parallel Session 1
13:15-14:45 Parallel Session 2
14:45-15:15 Coffee Break
15:15-16:45 Parallel Session 3
16:45-17:00 Break
17:00-18:00 Plenary Lecture 1
Chair: Yongmiao Hong, University of Chinese Academy of Science & Xiamen University
Automatic Debiased Machine Learning via Riesz Regressions
Whitney Newey, Massachusetts Institute of Technology
Saturday, June 8, 2024 Venue N402
08:45-09:45 Plenary Lecture 2
Chair: Yonghong An, Texas A&M University
Estimating Social Network Models with Link Misclassification
Arthur Lewbel, Boston College
09:45-10:15 Coffee Break
10:15-11:45 Parallel Session 4
13:15-14:45 Parallel Session 5
14:45-15:15 Coffee Break
15:15-16:15 Plenary Lecture 3
Chair: Farshid Vahid-Araghi, Monash University
Forecasting under Nonstationarity: An application to oil prices
Marcelle Chauvet, University of California, Riverside
16:15-16:30 Break
16:30-17:30 IAAE Members Meeting
Sunday, June 9, 2024 Venue N402
08:45-09:45 Plenary Lecture 4
Chair: Xiaoyi Han, Xiamen University
Machine Learning Methods: A New Horizon in Econometrics?
Esfandiar Maasoumi, Emory University
09:45-10:15 Coffee Break
10:15-11:45 Parallel Session 6
13:15-14:45 Parallel Session 7
14:45-15:15 Coffee Break
15:15-16:45 Parallel Session 8
16:45-17:00 Break
17:00-18:00 Plenary Lecture 5
Chair: Yong Bao, Purdue University
Maximum Likelihood Estimation of a Spatial Autoregressive Model for Origin-Destination Flow Variables
Lung-Fei Lee, Shanghai University of Finance and Economics
PARALLEL SESSION INDEX
