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Course module: 310153-M-3
310153-M-3
Methods: Econometrics 1
Course info
Course module310153-M-3
Credits (ECTS)3
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Economics and Management; TiSEM: Economics; Economics;
Is part of
M Economics
Contact persondr. B.A. Vollaard
Lecturer(s)
Lecturer
S. Bohorquez Correa
Other course modules lecturer
Coordinator course
dr. B.A. Vollaard
Other course modules lecturer
Lecturer
dr. B.A. Vollaard
Other course modules lecturer
Academic year2019
Starting block
BLOK 1
Course mode
Full-time
Remarks-
Registration openfrom 19/08/2019 up to and including 18/10/2019
Aims

Description of the course

This is a course in research design. A research design is the qualitative story that is going to give you a causal interpretation of the results of your quantitative analysis. We focus on evaluation of public policy / business strategy. We assume that you have an understanding of basic econometrics; successful completion of an introductory course in econometrics is required.

During the course, after introducing the fundamental problem of causal inference - and causal diagrams as a tool to visualize identification problems - we discuss four commonly used research designs: randomized trial, regression discontinuity, difference-in-difference, instrumental variable.

The course should help you to conduct meaningful and creative empirical work by yourself, by learning to recognize research designs in the day to day world. In addition, this course should help you to assess the quality of empirical work from others.

For the exercises, we will work with R and RStudio.

Recommended Prerequisites

Introductory course in econometrics and familiarity with the linear regression model, based on a textbook like the 'baby Wooldridge' or Stock and Watson.
Content

Type of instructions

Interactive lectures and computer labs (5 weeks in total)

Type of exams

Final exam, weekly quizzes, weekly paper reviews, two weekly computer assignments.

Compulsory Reading
  1. Joshua Angrist and Jörn-Steffen Pischke, Mastering Metrics. The path from cause to effect, Princeton University Press, 2015. (available from last year's students)


Recommended Reading
  1. Jeffrey M. Wooldridge, Introductory Econometrics. A Modern Approach, South-Western. CENGAGE Learning, 2013.
Course available for exchange students
Master level, conditions apply
Timetable information
Methods: Econometrics 1
Written test opportunities
DescriptionTestBlockOpportunityDate
Final exam / Final examEXAM_01BLOK 1206-01-2020
Written test opportunities (HIST)
DescriptionTest/BlockOpportunityDate
Final exam / Final examEXAM_01BLOK 1114-10-2019
Required materials
-
Recommended materials
-
Tests
Participation grade; quizzes/assignments

Final exam

Final grade

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Kies de Nederlandse taal