Tutorial Econometrics (SS25)

Content

The course provided students with a more advanced look into the methods of Econometrics. Here, we looked at regular OLS, its problems, and potential remedies. In particular, the Gauss-Markov Theorem, the omitted variable bias (OVB), misspecified models, the issue of heteroskedasticity, and the linear probability model (LPM) will be discussed. In these tutorials, students worked on both theoretical problems, that are close to the course material by Valerio Sterzi, as well as practical problems, using the statistical software for data ‘Stata’.

Introduction

Slides

• Introduction

Problem Set 1 (due 13.02.2025, 11h30)

OLS. Expected Value. Heteroskedasticity.

Here you can find information on expected values and the rules governing them.

Problem set

• Problem Set 1

Data files

• Data Problem Set 1

Tutorial 2 (due 13.03.2025)

OLS. Proxy variables. Heteroskedasticity. Non-linear functions.

Problem set

• Problem Set 2

Data files

• Data Problem Set 2

Solution

• .do File

Tutorial 3 (due 27.03.2025)

OLS. Predicted Values. Interactions. Dummy variables.

Problem set

• Problem Set 3

Data files

• Data Problem Set 3

Solutions

• .do File
• .pdf File

Tutorial 4 (not graded)

OLS. LPM. Logit / Probit. Panel data.

Here you can learn more about interpreting marginal effects.

Problem set

• Problem Set 4

Data files

• Data Problem Set 4

This problem set will not be graded. You are more than welcome to send me your solutions and get them corrected. I have made the exam slightly easier to make up for this.

Solution

• .do File