design, solve and estimate discrete dynamic programs.
Python and Julia Code for Structural Behavioral Economics
MACS 40200 (Winter 2020): Structural Estimation
Simulation and estimation of a simple job search model for structural econometrics study group
promotional material for our work on Eckstein-Keane-Wolpin models
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
Econometrics lecture notes with examples using the Julia language
Matlab package for learning to specify, compute, and estimate dynamic discrete choice models
BLP Demand Estimation with Python
End-to-End PyTorch implementation of Chang & Kim's (2026) iVDFM pipeline, Includes: amortized encoder, RegimeNet simplex embeddings, Laplace PriorNet, diagonal AR(p) companion-form dynamics, and injective MLP decoder. Trained via ELBO with reparameterized Laplace innovations. Benchmarked against iTransformer and TimeMixer baselines.
Estimated Bayesian Small Open Economics DSGE model with Stochastic Volatility in Structural Shock Processes
Structural Applied Micro Graduate Course Problem Set
design, solve and estimate discrete dynamic programs.
Teaching material for Lectures in Dynamic Programming
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