WiSe 23/24: Quantitative Methoden: Empirical Economics: Women and Men in the Labor Market (V)
Natalia Danzer
Comments
Content & Aim of the Course
The aim of this course is to introduce students to modern microeconometric methods for policy evaluation aimed at estimating causal effects (treatment effects) in the area of labor economics. In the lecture part, we will cover empirical methods as well as basic labor economic theories. In the seminar part, students will be given the opportunity to apply their knowledge while their own research projects. Students will learn how to apply the methods in hands-on empirical exercises with real-world micro data, using the statistical software package STATA (FU students can download the free campus license via ZEDAT to their personal computers or use the computer lab).
This course investigates current research questions related to differences in labour market behavior and outcomes between men and women in industrialized economies and developing countries. It also examines a variety of public policy measures designed to ensure equality of opportunity. In the lectures, we will introduce basic economic theories related to (fe)male labour supply, decisions within the household, family economics and economic theories of discrimination. We will read and discuss research papers applying these modern empirical methods to micro data. The aim of the course it to acquaint students with the skills to critically read, present, and discuss empirical journal articles in the field of labor economics, to learn how to write literature summaries, learn how to work with micro data and how to conduct analysis and how to write own research papers based on own empirical analyses.
Examples of research questions and topics:
- How large is the gender pay gap and what are potential explanations of the gender pay gap?
- Why are there differences in earnings and occupations between women and men?
- How do economic policies and gender norms affect male and female labour supply?
- What does economic theory say about labor market discrimination? How do economists test for discrimination?
Methods Covered
- OLS and Causality, Omitted Variable Bias, Counterfactual, Potential Outcomes Framework
- Randomized Control Trials
- Instrumental Variables Approach
- Regression Discontinuity Design
- Panel Data Methods
- Difference-in-Difference Approach
9 Class schedule
Regular appointments