This course provides a short introduction to the topic of discrimination in economics. We will start by going over different concepts of discrimination (for example, taste-based discrimination, statistical discrimination), and using those to gain familiarity with recent and exciting work on the topic.
The emphasis will be placed on labor market gender and ethnic discrimination, with a particular focus on field experiments. Practical guidance on how to set up a correspondence testing experiment will be provided.
• What is discrimination in Economics?
• Gender and ethnic discrimination in field experiments
• Practical guidance on how to set up a correspondence testing experiment
The presentation will generally be nontechnical. As such, the course is suited to anyone with an interest in the area, from advanced undergraduates to PhD students, and even practicing academics or members of the general public with an interest in the economics of discrimination.
This course will be lectured by professor Ana Fernandes . She has a PhD in Economics from the University of Chicago (Thesis: Familial Preferences and Economic Choices: Does Distribution Matter?; Thesis Money and Banking, Mathematical Economics).
She published articles in several journals, such as Economic Journal, Macroeconomic Dynamics, Journal of Population Economics, B.E. Journal of Economic Analysis & Policy, Journal of Financial Transformation, Economics Letters and Journal of Economic Theory.
Her teaching experience includes the University of Chicago, CEMFI, NYU Stern, University of Bern, Berner Fachhochschule, University of Fribourg and University of Lausanne.
She had academic visits to the Federal Reserve Bank of Chicago, Federal Reserve Bank of Minneapolis, Marshall School of Business and University of Southern California.
>> This course will be lectured in English.
>> Students will receive a Certificate of Attendance.
>> No fee. Registration required. Class size is limited.
>> Registration is now open: http://tinyurl.com/economicsofdiscrimination
firstname.lastname@example.org / or Professor Elsa Fontainha: email@example.com