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A beautiful, simple, clean, and responsive Jekyll theme for academics
Alternate Model Forecast method for solving OLG transition paths
A curated list of causal inference libraries, resources, and applications.
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 Estimation of Structural Vector Autoregressive Models
Empirical macro toolbox
AEM 7130: Dynamic Optimization/Computational Methods
Computational Economics Course 2020 by Kenneth Judd
Matlab implementation of DC-EGM algorithm from Iskhakov, Jorgensen, Rust and Schjerning (QE, 2017)
|| Stata | R || Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or decrease multiple times.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Codes to replicate "Household heterogeneity and the transmission of foreign shocks", by de Ferra, Mitman, Romei. Journal of International Economics, Volume 124, May 2020, 103303
HAT: Heterogenous Agent Trade Models
Replication materials for Kaplan, Mitman and Violante (2020): "The Housing Boom and Bust: Model Meets Evidence" published in the Journal of Political Economy
Gradually build up a life-cycle model
Inference on impulse responses using local projection or VAR methods, with or without lag augmentation.
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites.google.com/site/oscarjorda/home/local-projections.
Simulation study of Local Projections, VARs, and related estimators
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine Learning for Economics
Course Website on Macroeconomic Analysis with Machine Learning and Big Data
Lecture slides for Macroeconometrics
Store in my website
Code for the Spring 2022 heterogeneous-agent macro workshop
Code for the Spring 2023 NBER heterogeneous-agent macro workshop
Code for Chinn, M. D., Meunier, B., Stumpner, S. (2023). "Nowcasting World Trade with Machine Learning: a Three-Step Approach", NBER Working Paper, No 31419, National Bureau of Economic Research
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.