sekeundanielyu Goto Github PK
Name: Sekeun Daniel Yu
Type: User
Name: Sekeun Daniel Yu
Type: User
Updated R and Stata and data code from Lopez Bernal IJE 2017
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Causal Inference II Mixtape Session taught by Scott Cunningham
R code for causal graph animations
IHME's weekly Data Science Brown Bag series
The Leek group guide to data sharing
A book covering the fundamentals of data visualization.
Difference in Differences with Multiple Periods
R-code to compare some staggered did methods
πAn interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Efficient R programming: a book
Robust inference in difference-in-differences and event study designs
Stata commands designed for Impact Evaluations field work. These are tools that are used during/after a survey in the field for data quality monitoring.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Stata module to access World Bankβs Global Poverty and Inequality data
R client to the PIP API
The materials on this site aim to help enhance the quality of advice and integrated knowledge on sustaining past welfare gains in the face of slower global growth. These resources are taken from the workshop, which provides a comprehensive technical review of methods, using actual household survey data. The training covers all steps of poverty mea
R package for power calculations and visualization for pre-trends tests
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Peer Assessment 1 for Reproducible Research
Chrome extension to append sci-hub.org to tab domain.
Synthetic Difference in Differences for Stata
Code to incorporate staggered treatment adoption (based on appendix from Arkhangelsky et al. 2021) into synthdid package
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.