ECON 3495-002 "Panel Data Econometrics" Prof. Jungbin Hwang 4:40pm-5:55pm MoWe
The course Econ 3495 (Panel data econometrics) covers standard panel data models which apply to datasets that follow cross-sections of individuals through time. An emphasis will be placed on determining when causal relationships can be inferred from panel data.
The material is divided into the following four sections:
(1) Static Panel Data Models
(2) Dynamic Panel Data Models
(3) Difference-in-Difference Methods
(4) Non-linear Panel Data Models.
We will use the computer programming package STATA (Python-augmented) to implement all the econometric methods covered in this class. The course also briefly discusses recently developed issues in panel data econometrics such as re-sampling and machine learning methods, if time allows
For more information, contact: Prof. Jungbin Hwang at jungbin.hwang@uconn.edu