Teaching material for Lectures in Dynamic Programming
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Updated
Apr 23, 2024 - Jupyter Notebook
Teaching material for Lectures in Dynamic Programming
Econometrics lecture notes with examples using the Julia language
design, solve and estimate discrete dynamic programs.
Python and Julia Code for Structural Behavioral Economics
BLP Demand Estimation with Python
Structural Applied Micro Graduate Course Problem Set
promotional material for our work on Eckstein-Keane-Wolpin models
design, solve and estimate discrete dynamic programs.
Matlab package for learning to specify, compute, and estimate dynamic discrete choice models
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
MACS 40200 (Winter 2020): Structural Estimation
Simulation and estimation of a simple job search model for structural econometrics study group
Estimated Bayesian Small Open Economics DSGE model with Stochastic Volatility in Structural Shock Processes
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