[1] “A Simple Transformation Approach to Difference-in- Differences Estimation for Panel Data,”
(joint work with Jeffrey M. Wooldridge), under revision for Journal of Business & Economic Statistics
[2] “Simple Approaches to Inference with Difference-in-Differences Estimators with Small Cross-Sectional Sample Sizes,”
(joint work with Jeffrey M. Wooldridge), under review
[3] “Rolling Difference-in-Differences Estimation for Panel data,”
(joint work with Jeffrey M. Wooldridge)
A manuscript describing the user-written Stata command lwdid, which implements the methods developed in [1] and [2].
The command lwdid is publicly available on GitHub.
[4] “Rolling Approach to Difference-in-Differences: Exploring Treatment Reversibility and Moderating Effects”
“A New Approach to Evaluating Teacher Effectiveness: Impact of Work Environment on Productivity”
(joint work with Jaehong Lim)
“Can Expanding School Options Benefit Students? Evidence from Michigan's Schools of Choice Program”
(joint work with Tara Kilbride)
ECON567B - Econometrics II (Ph.D.) :Fall 2025, Fall 2026
[Lecture Notes Overview] [Stata Sessions]
ECON567C - Econometrics III (Ph.D.) :Spring 2026
ECON241 - Introduction to Macroeconomics (Undergraduate) :Fall 2026
#1. Causal Inference/DID
Dr. Rios-Avila's blog introducing Stata codes for treatment effect estimators: https://friosavila.github.io/playingwithstata/index.html
Dr. Roth's blog related to the DID approach:
https://www.jonathandroth.com/did-resources/
#2. Software
Free source code editor(for windows): Notepad++2
Rstudio Cloud version
cf. Dr. Belzile's github post
: R programming with linear models
Data Visualization: Tableau
Stata Commands (Programs) Explanation
written by Ben Jann
#3. Econometrics
Dr. Robinson's post
: List of ten Fundamental Econometrics Theorems from Jeffrey Wooldridge
ÊSTIMATE
: Econometrics workshop at MSU, covering both basic and advanced econometric techniques