DXE_EXTR Experimental methodology

Faculty of Economics and Administration
Spring 2022
Extent and Intensity
18/0/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
James Christopher Tremewan, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Rostislav Staněk, Ph.D.
Department of Economics – Faculty of Economics and Administration
Contact Person: doc. Ing. Ondřej Krčál, Ph.D.
Supplier department: Department of Economics – Faculty of Economics and Administration
Timetable
Mon 30. 5. 10:00–12:00 S306, 13:00–15:00 S306, 15:30–17:00 S306, Tue 31. 5. 10:00–12:00 S306, 13:00–15:00 S306, 15:30–17:00 S306, Thu 2. 6. 10:00–12:00 S306, 13:00–15:00 S306, 15:30–17:00 S306
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 26 fields of study the course is directly associated with, display
Course objectives
This course provides a comprehensive introduction to the statistical tools required to analyse experimental data, with a focus on applications in Behavioural and Experimental Economics. We will cover both parametric and non-parametric approaches to identifying and estimating treatment effects. More advanced topics include estimating the magnitude and heterogeneity of social preferences and bounded rationality, and models of learning. The course will also address how statistical considerations should influence experimental design, and how to critically evaluate the validity of statistical claims in scientific articles.
Syllabus
  • 1. Experimental design and experimetrics
  • • How to design experiments to maximize statistical power.
  • Details:
  • How to assign subjects to treatments?
  • Within or between subject design?
  • One-shot or repeated?
  • Partner or stranger-matching?
  • How many matching groups?
  • Direct or strategy method?
  • How many subjects? (power calculations)
  • 2. Hypothesis testing and non-parametric tests
  • • How to choose which test to apply to experimental data and what inferences can be drawn.
  • Details:
  • Introduction to hypothesis testing.
  • Binomial test, exact Z-test, Mann-Whitney, stochastic inequality test, Wilcoxon rank sum, sign test, Spearman rank-correlation, Kendall rank correlation.
  • Using Monte Carlo simulations to estimate size and power of tests.
  • 3. The replication crisis
  • • Cause of and solutions to the replication crisis.
  • • How and when to adjust for multiple hypotheses.
Literature
    recommended literature
  • MOFFATT, Peter G. Experimetrics : econometrics for experimental economics. First published. London: Palgrave Macmillan, 2016, xv, 476. ISBN 9780230250239. info
    not specified
  • Class slides and additional reading provided on Smart LMS will cover all material in detail.
Assessment methods
The credit will be given for participation in the class and class discussion.
Language of instruction
English
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught only once.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/econ/spring2022/DXE_EXTR