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Empirical Methods for Lawyers

  • Teacher(s): C.Thoeni
  • Course given in: English
  • ECTS Credits: 6 credits
  • Schedule: Autumn Semester 2019-2020, 4.0h. course (weekly average)
  •  séances
  • Related programme: Master in Law and Economy

[warning] This course syllabus is currently edited by the professor in charge. Please come back in a few days. --- For your information only, here is the old syllabus :


This course provides basic knowledge about empirical work for law students. Participants learn to analyze data and interpret empirical results reported in scientific publications. The course discusses a selection of empirical papers in Law & Economics in detail. The course emphasizes the applied side of empirical work. Students learn to work with data and present descriptive and inferential statistics.


The course consists of lectures and exercises.

The lectures provide the methodological basis. Topics are:
- How to gather data: survey, archival, experimental
- How to describe data: descriptive statistics, means, moments, distributions
- How to draw inference: hypotheses testing, causality
- How to present empirical work: interpretation of regression output

The practical part will cover
- Data analysis with Stata
- Present empirical work


Main literature

- Lee Epstein and Andrew D. Martin (2014) An Introduction to Empirical Legal Research. Oxford University Press.

- Slides, research articles tba in class

Additional readings
- Baum, Christopher F. (2006). An Introduction to Modern Econometrics Using Stata, Stata Press.

- Lawless, R. M., Robbennolt, J. K., & Ulen, T. S. (2010). Empirical Methods in Law. Aspen Publishers.

- Wooldridge, J. M. (2009). Introductory econometrics: A modern approach. Thomson Learning.



First attempt

Written 2h00 hours
Not allowed
Allowed with restrictions

The final grade is a weighted average of the following grades:

  • 33% group project: presentation in class and short paper
  • 67% written exam



Written 2h00 hours
Not allowed
Allowed with restrictions

The grade from the presentation and paper will be kept for the retake session.

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