CloseHelpPrint
Kies de Nederlandse taal
Course module: 310154-M-3
310154-M-3
Methods: Econometrics 2
Course info
Course module310154-M-3
Credits (ECTS)3
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Economics and Management; TiSEM: Econometrics and OR; Econometrics & Operations;
Is part of
M Economics
Lecturer(s)
Lecturer
A. De Araujo Laplana
Other course modules lecturer
Lecturer
dr. B.A. Vollaard
Other course modules lecturer
Academic year2020
Starting block
BLOK 3
Course mode
Full-time
Remarks-
Registration openfrom 19/01/2021 up to and including 20/08/2021
Aims

The aim of the course is to help you making a link between empirical work and policy/business strategy advice. You learn about targeting treatments, how to build up an evidence base, and how to use the results of a study in other, related settings.

Required Prerequisites

Econometrics I (MSc. Economics).

Recommended Prerequisites

basic course in econometrics
Content
This course is the follow-up to Econometrics 1. In Econometrics 1, we addressed identification of average treatment effects in a single study. In Econometrics 2, we go beyond average treatment effects because the assessment of policies and strategies often requires us to do so. These issues are of relevance to both micro and macroeconomics.

First, we allow for treatment heterogeneity. You learn how to estimate effects for subgroups of the population studied.

Second, we allow the treatment effect to vary with time. We look into panel data models were adjustment to some shock or treatment takes place over several time periods. Examples of applications are: shocks that percolate through a system (macro) and treatments that require learning (micro).

Third, we address mechanisms that are behind an estimated treatment effect. So far, the relationship between the treatment and outcome was a black box. How can we learn about mechanisms? This is of direct relevance to policy: what we should do greatly depends on what drives the outcome.

Fourth, we address what we can learn from the results of two or more studies, using basic Bayesian statistics. A judgment of whether a treatment ‘works’ is not based on a single study after all. How do we build an evidence base?

Fifth, we address external validity of studies. Empirical work is backward looking; it is based on things that occurred, but policy advice is forward looking: what can we learn from a study for the future and in other settings?
 
Type of instructions
lectures plus lab sessions

Type of exams
written final exam; weekly quizzes, paper reviews and computer assignments

Recommended Reading
tba.
Contact person
dr. B.A. Vollaard
Timetable information
Methods: Econometrics 2
Written test opportunities
DescriptionTestBlockOpportunityDate
Written exam (66%) / Written exam (66%)EXAM_01BLOK 3210-06-2021
Written test opportunities (HIST)
DescriptionTestBlockOpportunityDate
Written exam (66%) / Written exam (66%)EXAM_01BLOK 3112-04-2021
Required materials
-
Recommended materials
Manual
tba
Tests
Quizzes; assignments (33%)

Written exam (66%)

Final grade

CloseHelpPrint
Kies de Nederlandse taal