Teaching

Last update: November 21, 2024

When you get the chance to teach someone in the future, it’s a good strategy to think about entertaining yourself first—as I do—before trying to please your students. That’s how the academic baton is passed to the next generation, and no matter what happens in the world, this is what education is really about. (T. Adachi, July 2020)

AY2025

Business Economics (Spring/Summer, Thursdays 10:30-12:00)

Information is available at PandA.

Textbook: Gábor Békés and Gábor Kézdi, Data Analysis for Business, Economics, and Policy (Cambridge University Press, 2021)

Companion website: Gabors Data Analysis

Note that the participating students are assumed to have basic knowledge of statistics (such as mean, variance, correlation, joint distribution, hypothesis testing, etc.).

1. Regression (1): Single-Variable Regression

2. Regression (2): Multiple-Variable Linear Regression

3. Regression (3): Modeling Probabilities: The Case of Limited Dependent Variable

4. Regression (4): Demand Estimation: Introducing Endogeneity

5. Panel Data (1): Fixed-Effects and First-Difference Estimation

6. Panel Data (2): Choosing Appropriate Control Groups for Panel Data (Synthetic Control; Event Study)

7. Panel Data (3): Difference-in-Differences

8. Other Parsimonious Methods for Observational Data: Propensity Score Matching; Regression Discontinuity Design

9. Prediction (1): Regression with Time Series Data

10. Prediction (2): Forecasting

11. Prediction (3): A Framework for Prediction

12. Prediction (4): Model Building for Prediction