Experimental methods

The primary objective of this class is to train students to experimental design and methods. The class is organized as a lab meeting. Each week, we will discuss a methodology based on ongoing projects in our LABEL group. The students will gradually learn about how to design and run experiments and how to analyze data statistically. They will also learn how to interpret results in a scientific way and apply them to real problems. 

Behavioral Track and Sequences of the ECON Graduate Programs 

This course is part of a sequence of classes that forms the core of the Behavioral Track of the MA program and the Behavioral Economics Sequence of the PhD program. This is an advanced sequence (600 level classes) for students with an interest in research.

Masters : Students can choose to take ECON 620 or ECON 621 (when available) for their compulsory specialty class. They can take the other class as an elective. You can read more about the Behavioral Economics Track of the Master program here.

It is recommended to combine method classes with ECON606 that describes the advances in Behavioral Economics, ECON 616 that focuses on advances in Experimental Economics and/or ECON 516 that addresses the connections between Economics and Psychology. 

Students who wish to be involved in LABEL' s research need to take a minimum of two classes offered by LABEL to acquire minimum training.  



ECON 620


ECON 621


Course Description


Topics Spring 2024


Links to Material 2024

Projects S2024.pptx


This document collects information about the projects discussed in class.

The class is a lab class, it is in-person only. There won't be streaming or recording options.


This calendar lists class sessions and events open to students enrolled in the class. LABEL regularly  invites speakers to discuss their ongoing research, or schedules meetings to discuss and prepare lab activities.  Students who would like to pursue a PhD are encouraged to take part in extra curricular activities offered by LABEL.

LABEL is dedicated to the study of human behavior, including economic behavior in markets, individual decisions and biases in judgement, and fundamental research on the mechanisms that underly behavior (via biology and neuroscience knowledge). 

Some ongoing projects in our group involve different types of non-choice data (mouse-tracking, reaction times, fMRI, skin conductance), big data (fMRI) and/or study economic paradigms on special populations (children, older adults, behavioral disorders). For more information about our research, please visit:



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