Course: Econometric Analysis of Panel Data

Lecture Hall: AC2 NMLT

Instructor: Tulasi Ram Reddy (tulasi ‘dot’ math ‘at’ gmail ‘dot’ com)

Confounding

Topics covered: OLS Regression, Generalized OLS, One way fixed and random effects model, Two way fixed and random effects model, Seemingly Unrelated Regressions (SUR), Regression Discontinuity Design, Difference in Differences, Synthetic Inference, Staggered Designs, M-Estimation, Asymptotic Theory, issues with sampling (if time permits, we will cover some Machine Learning aspects of panel data).

Pre-requisites: Familiarity with basic statistical concepts such as estimation techniques, hypothesis testing, and probability distributions. Exposure to regression analysis, including simple linear regression and multiple regression, is essential. Understanding of Linear algebra and multivariate calculus (derivatives and integrals) is necessary.

Lecture Contents Supplementary material
1 Introduction and Review  
2 SUR Model  
3 Fixed and Random Effects Chapters 2 and 3 of Arellano; Aditionally refer Chapter 16 in the Effect book
4 Fixed and Random Effects Chapters 2 and 3 of Hsiao Cheng
5 Estimating Effects Chapter 2 of B. H. Baltagi
6 Tests on Effects Chapter 4 of B. H. Baltagi
7 Discontinuity Designs See Chapter-06 in Causal Inference - The Mixtape book; See Chapter 20 in the Effect book.
8 Difference in Differences See Chapter-09 in Causal Inference - The Mixtape book; See Chapter 18 in the Effect book; Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania by David Card and Alan B. Krueger
9 Synthetic Inference See Chapter-10 in Causal Inference - The Mixtape; See Synthetic Difference-in-Differences by D. Arkhangelsky, S. Athey, D. A. Hirshberg, G. W. Imbens and S. Wager
10 Staggered Designs See Chapter-09 in Causal Inference - The Mixtape book; See Difference-in-Differences with multiple time periods by Brantly Callaway, Pedro H.C. Sant’Anna
28-June-2025 Class Presentations  
Problem Sets (Posted on LMS): Assignment - 1 (Due on 15-June ) Assignment - 2 (Due on )

References: