Sylabus
· Concepts: structure, identification, causality
Identification in structural models
Linear simultaneous equations models
Causality in structural models
· Tools: discrete choice methods with simulations
Random parameters and simulations
Multinomial choice models with simulations
Discrete choice models for panel data
· Demand: estimation of random utility models
· Traditional approaches to demand estimation
· The workhorse Berry-Levinsohn-Pakes model
· Refinements: panel data and demographics
· Supply: estimation of production functions
· The transmission bias and panel data solutions
· Varieties of control function approaches
· A modern non-parametric treatment
· Games: estimation of strategic choices
· Traditional analyses of market entry games
· Partial identification under equilibrium multiplicity
· Extensions: incomplete information, dynamics
· Labor market: wage decomposition
· The workhorse Abowd-Kramarz-Margolis model
· Addressing issues: event studies, leave-out estimation
· Extensions: discretization, job history, productivity
· Interactions: the econometrics of networks
· The linear-in-means model and reflection
· Identifying networks, identifying ‘the’ networks
· Models of non-strategic network formation