Experimental Research in Business and Economics

Verfasst vonJohanna GrillmeyerVeröffentlicht inAllgemein
LecturerAssoc. Prof. David Schindler
Tilburg School of Economics and Management
Department of Economics
Tilburg University
DateNovember 11 & 12, 2025
with classes on November 11 from
  • 08:00 a.m. – 10:00 a.m.: Lecture 1
  • 10:30 a.m. – 12:30 p.m.: Lecture 2
  • 2:00 p.m. – 4:00 p.m.: Lecture 3
and classes on November 12 from
  • 08:00 a.m. – 10:00 a.m.: Lecture 4
  • 10:30 a.m. – 12:30 p.m.: Lecture 5
  • 2:00 p.m. – 4:00 p.m.: Lecture 6

Room/AddressRoom SCH B37, Georg-Schumann-Bau
Faculty of Business and Economics, TU Dresden
Seminar contentThis short course will help you understand why and how experiments can help understand relevant phenomena in economics and business. We will cover the principles, design choices & challenges for laboratory and field experiments. We will also cover how to properly elicit preferences and expectations, and how to think about the generated data from an analytical perspective. 
 
You should view this course as helping you understand the process of experimenting. How to tell good from bad experiments apart? What stages of planning and implementation do I need to go through? Et cetera.
Recommended readings
  • Gerber, A. S., & Green, D. P. (2012). Field experiments: Design, analysis, and interpretation. W. W. Norton.
  • Moffatt, P. (2020). Experimetrics: Econometrics for experimental economics. Bloomsbury Publishing.
  • Jacquemet, N., & l’Haridon, O. (2018). Experimental economics: method and applications. Cambridge University Press.
CertificateDoctoral candidates from the Faculty of Business and Economics, TU Dresden can earn a certificate according to § 9 of the Ph.D. doctoral regulations (PromO 2018):
Doctoral candidates of Business Administration: § 9 (1) Nr. 5 or 6
Doctoral candidates of Business Information Systems: § 9 (1) Nr. 6
Doctoral candidates of Economics: § 9 (1) Nr. 6

Doctoral candidates from other universities can earn a certificate as well.
AssessmentDuring the course, your active participation is essential. At the end of the course, you will need to write a comprehensive pre-registration/pre-analysis plan for an experimental idea. The plan should include experimental design, hypotheses, and detailed description of statistical testing.
RegistrationParticipation is limited (max. 15). 
To register send an e-mail to Dr. Uta Schwarz: uta.schwarz@tu-dresden.de
Phone: +49 351 463-33141

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