This masterclass develops structural approaches for analyzing large cross sectional and longitudinal data sets, by exploiting restrictions derived from the equilibrium dynamic outcomes in individual discrete choice optimization problems and non-cooperative games. We investigate empirical content, characterize identification of the primitives and counterfactuals, and evaluate alternative estimators and testing procedures.
Please see below for schedule:
Monday March 12 2018:
10:00AM – 10:30AM Registration
10:30AM – 12:00PM Introduction
12:00PM – 1:00PM Lunch
1:00PM – 2:30PM Conditional Independence
2:30PM – 3:00PM Break
3:00PM – 4:00PM Value Function Representation
4:00PM – 4:30PM Break
4:30PM – 5:30PM Identification
Tuesday March 13 2018:
10:00AM – 11:00AM Finite Dependence
11:00AM – 11:30AM Break
11:30AM – 1:00PM Estimation
1:00PM – 2:00PM Lunch
2:00PM – 3:30PM Unobserved Heterogeneity
3:30PM – 4:00PM Break
4:00PM – 5:30PM Application to Executive Management