econometrics Goto Github PK
Type: Organization
Type: Organization
Advanced causal inference and research design course
Repo for Yale Applied Empirical Methods PHD Course
Course website for Ph.D. Applied Microeconometrics at the KDI School.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A PhD course in Applied Econometrics and Panel Data
Stata、计量经济学、DSGE
Materials Collection for Causal Inference
An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regression. Light on maths, heavy on intuition and practical examples.
Slides for the Seattle University Causal Inference Class
Estimating Difference-in-Differences in the Presence of Spillovers -- Algorithm in Stata, R and MATLAB
Data, Code and other material for CodeChella concert
🌐 🧑🏫 Website for graduate-level course on comparative and international public administration, built with Quarto
Computational Economics Course 2020 by Kenneth Judd
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Keeping track of what is going on with the latest DiD innovations.
This repository summarizes the traditional and recently proposed estimators for the difference-in-differences specifications.
Teaching materials from DSE2019 summer school at Chicago Booth
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Ed Rubin
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2021 Taught by Ed Rubin
Causal-inference oriented doctoral econometrics course at UO
经济学相关专业资料集
This repository contains all the materials from the Economic Growth course I taught at Brown in Summer 2021: syllabus, lecture notes, problem sets, and more.
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
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.