jovansam Goto Github PK

2019-rochester-compute-camp

8.4.1-9.7.1-economic-growth

aaabk2018

Replication files for "Innovation, Reallocation and Growth"

aaabk2018.jl

AAABK (2018) Model in Julia

aap2020

Replication files for "Lack of Selection and Limits to Delegation: Firm Dynamics in Developing Countries"

adaptive_finite_volume

Toolbox to test adaptive finite volume methods for Fokker Planck Equation (arising from economics)

addaandcooper

Code to solve exercises from Adda and Cooper's "Dynamic Economics" book

advmacrohet

Course on solving heterogenous agent models

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

archive-of-empirical-dynamic-programming-research

Collection of published papers that estimate dynamic programming models

bayes101.jl

Some notes about Bayesian estimation

bcfl2016

bdd2018

Replication code to reproduce all figures, tables, and estimates appearing in the main text and extended data of Burke, Davis, Diffenbaugh (2018)

benchmarkingml

bgm

Graphs for "Monopoly Power and Endogenous Product Variety: Distortions and Remedies"

blpdemand.jl

bootcamp2018

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018

bufferstocktheory-public

cake_eating_with_julia

Optimally spread the eating of cake of known and finite size over time.

cakeeating

Python code for the Cake Eating Problem

cge-in-julia

A computable general equilibrium model completed in partial fulfillment of ER290A: Computational Methods in Economics.

cge-julia_el

An open-source CGE model in Julia, initially set up for the US

class-repo

AEM 7130: Dynamic Optimization/Computational Methods

climatedice

clmmjuliapythonmatlab

Codes to accompany the paper "Matlab, Python, Julia: What to Choose in Economics?" by Chase Coleman, Spencer Lyon, Lilia Maliar, and Serguei Maliar

codes_compmacro

Sample Codes for the Course "Computations and Quantitative Models in Macro" by Alex Monge at the EUI, Florence

coleman-iteration

Matlab code solving a simple stochastic optimal growth model. Solved with both coleman policy iteration and value function iteration.

comparison-programming-languages-economics

A Comparison of Programming Languages in Economics

compecon

Computation for Economists

compecon2020

Computational Economics Course 2020 by Kenneth Judd