This intensive course will be focused on discrete choice models and demand estimation, going over both theory and computational aspects. It will cover random utility models, extreme value theory, logistics regression, and characteristics-based models with the Berry-Levinsohn-Pakes (BLP) model. We will study illustrations ranging from matching problems to international trade.
 

The program of the class is as follows:
 

Day1a: RUM, DZW theorem, 

Day1b: Inversion theorem and linear programming approach

 

Day2a: Logistic regression

Day2b: Probit and GHK and quadrature and Gauss-Hermit polynomials

 

Day3a: Random coefficients logit

Day3b: BLP