ECUE Experimental economics

Code de l'ECUE : IMEEXE

Ce cours est proposé dans 3 UE

Structure

EUR ELMI

Domaine disciplinaire

Sciences économiques

Lieu d'enseignement

Campus Saint Jean d'Angély

Niveau du cours

Master 1

Semestre

Semestre impair

Langue

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.

Responsable(s) du cours

Présentiel

30h de cours magistral

PREREQUIS

Avant le début du cours, je dois ...

Familiarity with standard microeconomic tools (utility, preferences) / Basic notions in game theory / Basic notions in probability and statistics

OBJECTIFS

A la fin de ce cours, je devrais être capable de...

Understand experimental works in Economics / Design and run simple laboratory experiments in Economics / Analyze data coming from simple economic experiments

CONTENU

Lecture 1 (3h). An introduction to Experimental Economics (EE)

Aucune description
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

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Important

Ce syllabus n’a aucune valeur contractuelle. Son contenu est susceptible d’évoluer en cours d’année : soyez attentifs aux dernières modifications.