Empirical Economics

2019-2020

Course Objective

The main goal of this course is to make students familiar with using
microeconometric techniques to empirically analyze economic models.
Students should be capable to test economic theories empirically and to
estimate policy relevant parameters. Next they learn how to interpret
estimation results and to translate these into policy conclusions.
Students learn to distinguish between causality and correlation.

Course Content

This course first provides an overview on microeconometric techniques to
estimate causal effects. In particular, the potential outcomes framework
is discussed and within this framework policy relevant treatment effects
are defined. Next, more structural economic models are presented and
empirical analyses of these models are discussed. More specifically,
during the course labor market models, consumer choice models and
production functions are evaluated. During the course, there will be a
theoretical discussion, presentation of empirical studies and students
have to work with data.

Teaching Methods

Lectures and workgroups

Method of Assessment

Written exam and homework exercises

Entry Requirements

Introduction to econometrics (linear regression and maximum likelihood)
and basic statistics (estimation and hypothesis testing)

Literature

Stock, J.H. and M.M. Watson, "Introduction to econometrics", 3rd
edition, Pearson.

General Information

Course Code E_EOR3_EEC
Credits 6 EC
Period P2
Course Level 300
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. N. Ketel
Examiner dr. N. Ketel
Teaching Staff prof. dr. B. van der Klaauw
dr. N. Ketel

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Study Group, Lecture
Target audiences

This course is also available as: