zhouweimin-econ Goto Github PK
Name: Weimin Zhou
Type: User
Bio: Peking University
Name: Weimin Zhou
Type: User
Bio: Peking University
Barcelona GSE Macroeconometrics Summer School 2018 course
Code to Implement the Algorithm in "Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative" by Timo Boppart, Per Krusell and Kurt Mitman
Bayesian Macroeconometrics C++ Library
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
Resources for Code Club SGPE sessions
A Python version of Miranda and Fackler's CompEcon toolbox
This project has moved to https://git.dynare.org/Dynare/dynare
Dynare Summer School 2018 material
A toolkit for implementing occasionally binding constraints in Dynare.
Files for downloading and parsing listings from job posting websites.
Barcelona GSE Macroeconometrics Summer School 2018 course
Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".
Replication of Heterogeneous Agent New Keynesian (HANK) model in MATLAB
Solve HJB equations through finite difference schemes
Weimin's website
Replication materials for "Innovation, Productivity, and Monetary Policy" by Moran and Queralto (2018)
A tool to create application packets for the academic economics job market
nlp in action
Solving, filtering and estimating of DSGE models with occasionally binding constraints
Code Repository to Support QuantEcon Lecture Site
Quantitative Economics
Homework for the NYU Spring semester computational economics course
2018-2019 Quantitative Macroeconomics, UAB
A Replication Study for the Paper "Macroeconomic Effects of Financial Shocks" by Urban Jermann and Vincenzo Quadrini (AER, 2012)
Solution and estimation of Markov Switching Rational Expectations / DSGE Models
Materials for PhD course on text data in economics
Analyze Survey Data for Free with the R Language
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.