MACS 40200 (Winter 2018): Structural Estimation
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Updated
Mar 19, 2018 - Jupyter Notebook
MACS 40200 (Winter 2018): Structural Estimation
Simulation and estimation of a simple job search model for structural econometrics study group
Teaching materials from DSE2019 summer school at Chicago Booth
MACS 40200 (Winter 2020): Structural Estimation
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
An applied-micro tutorial using Python on Jupyter notebook showing how to perform a structural estimation excercise using finite dependence and bootstrapping.
design, solve and estimate discrete dynamic programs.
Collection of published papers that estimate dynamic programming models
promotional material for our work on Eckstein-Keane-Wolpin models
Structural Applied Micro Graduate Course Problem Set
Python and Julia Code for Structural Behavioral Economics
Collection of published papers that estimate dynamic programming models
A Python version of Miranda and Fackler's CompEcon toolbox
Implementing the BLP method for random effects choice model using Julia.
Labor Mobility with Environmental Regulation
Econometrics lecture notes with examples using the Julia language
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
Replication of Networks in Conflict Econometrica Paper
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