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Name: Jaehyung
Type: User
Company: New York University
Bio: PhD Student in Economics
Location: New York City
Blog: [email protected]
Name: Jaehyung
Type: User
Company: New York University
Bio: PhD Student in Economics
Location: New York City
Blog: [email protected]
A PhD course in Applied Econometrics and Panel Data
A curated list of causal inference libraries, resources, and applications.
Code and notebooks for my Medium blog posts
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018
Code for the Book Causal Inference in Python
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
Uplift modeling and causal inference with machine learning algorithms
A Python package for causal inference in quasi-experimental settings
Cluster-robust (sandwich) variance estimators with small-sample corrections
Create a cross-walk between zip code, county, and metropolitan area information.
Demand Estimation taught by Jeff Gortmaker and Ariel Pakes
In this repo, I use State Space Representation and Kalman Filtering technique to detect arbitrage opportunity in option price. In the first step, I formulate state space representation of option and stock price. Updates will be made soon.
Every big regression is a small regression with weights.
실험 플랫폼에 대한 자료를 정리한 저장소입니다.
IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).
LAPACK development repository
This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.
Multidimensional Iterative Proportional Fitting and Alternative Models
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Datasets for Online Controlled Experiments
In this repo, I describe how to compute the Equity Linked Security product developed by Samsung Security
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
A Python API client used to pull and retrieve data from the US Bureau of Economic Analysis
Stata scripts running recent staggered DID estimators on simulated dataset
Two-Stage Cluster Bootstrap and Causal Cluster Variance for Stata
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.