/
Français
English
No description
ECUE Experimental economics
ECUE's code : IMEEXE
EUR ELMI
Sciences économiques
Campus Saint Jean d'Angély
Master 1
Semestre impair
Anglais
PRESENTATION
The aim of course is to introduce the experimental methods and their applications in economics. It covers experimental economics, i.e., controlled experiments used as a tool to provide empirical evidence that is relevant for economic research. The first part of the course is based on Jacquemet and L’Haridon, 2018, Experimental Economics: Method and Applications. The second part of the course is based on Moffatt (2016), Experimetrics: Econometrics for Experimental Economics. The lectures are organized such as to provide an overview of laboratory experiments while focusing on the methodological aspects of economic experiments that are important for any beginner in the field. Some examples of experiments will be systematically used in order to illustrate methodological issues.
Course's manager(s)
In class
- 30h of lectures
PREREQUISITES
Before the start of the course, I must ...
-
Familiarity with standard microeconomic tools (utility, preferences) / Basic notions in game theory / Basic notions in probability and statistics
OBJECTIVES
By the end of this course, I should be able to...
- Understand experimental works in Economics / Design and run simple laboratory experiments in Economics / Analyze data coming from simple economic experiments
CONTENT
-
Lecture 1 (3h). An introduction to Experimental Economics (EE)
-
Lecture 2 (3h). What? The Emergence of Experimental Economics
Lecture 2 (3h). What is it? The Emergence of Experimental Economics (EE)
a. What is EE? An historical perspective on the emergence of experiments in economics
b. Brief description of what is an experiment with some illustrations
-
Lecture 3 (3h). Why? The Need for Experiments in Economics
Lecture 3 (3h). Why? The Need for Experiments in Economics
a. Data analysis based on direct behavioral observations
b. Estimating causal effects on treatments
c. From the (controlled) laboratory to field experiments
-
Lecture 4 (3h). How? Laboratory Experiments in Practice
Lecture 4 (3h). How? Laboratory Experiments in Practice
a. Designing an experiment: Internal-validity issues
b. Conducting an experiment
c. Case study: Eliciting beliefs
-
Lecture 5 (3h). How? Laboratory Experiments in Practice
Lecture 4 & 5 (6h). How? Laboratory Experiments in Practice
a. Designing an experiment: Internal-validity issues
b. Conducting an experiment
c. Case study: Eliciting beliefs
-
Lecture 6 (3h). Statistical Aspects of Experimental Design in Experimental Econometrics
Lecture 6 (3h). Statistical Aspects of Experimental Design in Experimental Econometrics
a. Links between experimental design and experimental data analysis
b. Examples: designing an experiment by anticipating the type of data it will produce
-
Lecture 7 & 8 (6h). Non-parametric and Parametric Tests of Experimental Treatments
Lecture 7 & 8 (6h). Non-parametric and Parametric Tests of Experimental Treatments
a. Tests of correlation
b. Tests of treatment differences (between-subjects)
c. Tests of order effects (within-subjects)
-
Lecture 9 & 10 (6h). Facing Specific Issues of Experimental Data
Lecture 9 & 10 (6h). Facing Specific Issues of Experimental Data
a. Dealing with Discreteness in Experimental Data
b. Ordinal Data in Experimetrics
c. Dealing with Heterogeneity: Finite Mixture Models
Access to complete Syllabus (Authentification required)
Important
This syllabus has no contractual value. Its content is subject to change throughout this year: be aware to the last updates