Advanced Methods for Applied Economic Research

2018-2019

Course Objective

After the course, students have an advanced understanding of the
mathematical and statistical concepts underlying regression analysis
(bridging theory and practice - knowledge). They are able to critically
evaluate the quality of empirical research in economic applications
(bridging theory and practice - knowledge & broadening your horizon).
They are also capable of performing empirical research themselves
(academic and research skills, bridging theory and practice -
application & broadening your horizon). The latter implies that they
able to make decisions about the appropriate statistical model, can deal
with real-life data, are aware of the strength and weaknesses of the
model and can estimate and interpret its parameters.

Course Content

This course makes students familiar with various microeconometric
methods. These methods are often used in economic research, both to test
predictions from economic theory and to assess the effectiveness of
economic policy. During the course attention is devoted both to the
theory underlying the different techniques and the practical
application. Theoretical knowledge is examined in the final exam, while
the implementation of the different methods is requested in the weekly
empirical exercises. In these empirical exercises the software package
Stata is used. An important aspect of the course is that students learn
how to interpret estimation results.

Teaching Methods

Lectures
Practical assignments

Method of Assessment

The practical homework assignments count for 20% of the final grade, the
written exam for the other 80%. However, the assignments only count for
the final grade if (i) the grade for the assignments is higher than the
exam grade, and (ii) the exam grade exceeds 5.0. If any of these
conditions is not met, the final grade equals the exam grade.

Entry Requirements

Introductory course in econometrics at Bachelor level.

Literature

Stock, J.H. and M.W. Watson, Introduction to Econometrics. Pearson
Education Inc., 3rd edition update, 2015

Additional Information

Students who are not familiar with the software package STATA are
encouraged to attend the workshop "Introduction to Stata".

Recommended background knowledge

Common used statistical tests and simple regression analysis.

General Information

Course Code E_EC_AMAER
Credits 6 EC
Period P1
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. S. Dobbelaere
Examiner dr. S. Dobbelaere
Teaching Staff dr. S. Dobbelaere
S. Sovago

Practical Information

You need to register for this course yourself

Teaching Methods Lecture, Study Group
Target audiences

This course is also available as: