Jiangang Zeng

Ph.D. Economics, University of Texas-Austin

M.A. Economics, University of Wisconsin-Madison

M.S. Statistics, Carnegie Mellon University

B.S. Applied Math and Economics, Emory University

• Micro-Econometrics

Working Papers:

1. Identification and estimation of a nonseparable production function. R&R at Journal of Applied Econometrics

2. Identification and estimation of a nonseparable system of equations with multiple shocks. 

3. Identification and estimation of a generalized partially linear model. 

4. Estimating the effects of climate using partially separable models with unobserved heterogeneity.

5. Beyond common support: an iterative approach to identification and estimation of nonseparable models with endogeneity. (with Le Wang) R&R at Journal of Business & Economic Statistics

6. Identification and estimation of nonseparable transformation models with cross-sectional and panel data. 

7. Identification and estimation of a nonparametric time-varying panel data model with completely missing regressors in some periods. R&R at Econometric Theory

8. Imputation for nonlinear models. (with Jason Abrevaya and Peter Toth) (draft coming soon!)

Work in Progress:

9. Identification and estimation of an additive model with multiple shocks

Jiangang Zeng is an Assistant Professor of Economics. He earned his Ph.D. in Economics from the University of Texas at Austin in 2020. His research focuses on applying econometric methods to address key challenges in models commonly used in applied microeconomics, with a particular emphasis on industrial organization and labor economics.