design, solve and estimate discrete dynamic programs.
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Updated
Jun 21, 2024 - Ox
design, solve and estimate discrete dynamic programs.
Python and Julia Code for Structural Behavioral Economics
promotional material for our work on Eckstein-Keane-Wolpin models
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
Simulation and estimation of a simple job search model for structural econometrics study group
BLP Demand Estimation with Python
Estimated Bayesian Small Open Economics DSGE model with Stochastic Volatility in Structural Shock Processes
Econometrics lecture notes with examples using the Julia language
design, solve and estimate discrete dynamic programs.
MACS 40200 (Winter 2020): Structural Estimation
Teaching material for Lectures in Dynamic Programming
Matlab package for learning to specify, compute, and estimate dynamic discrete choice models
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