stata

A Swiss-Army Knife for Data I/O

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

Read SPSS, Stata and SAS files from R

Command-line tool (+ C library) for converting SAS, Stata, and SPSS files 💾

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Stata commands designed for Impact Evaluations in particular, but also data work in general

Linear, IV and GMM Regressions With Any Number of Fixed Effects

Faster implementation of Stata's collapse, reshape, xtile, egen, isid, and more using C plugins

Keeping track of what is going on with the latest DiD innovations.

Research by Carlos Góes

This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is available on our website

Fast Stata commands for large datasets

Econometrics and data manipulation functions.

PARALLEL: Stata module for parallel computing

IQSS Data Science Services workshop materials

a module for building, searching, installing, managing, and mining Stata packages from GitHub

Plugin that adds support for Stata 11–15 for Sublime Text 2 and 3

Manipulating labelled vectors in R

Stata Workflows for LaTeX Output

An introductory statistics course for social scientists, using Stata

This is a repository maintained by DIME Analytics and containing example graphs on how to explore data sets and display results of Impact Evaluations using Stata. For information on how to contribute to the library and download codes and data sets, click on the link to GitHub below.

Package to read the Stata 13 (and newer) file format into a R data.frame

Inspiration and code for data visualizatio in Stata, created and maintained by DIME Analytics.

Syntax highlighting for Stata in Atom

DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates

Poisson pseudo-likelihood regression with multiple levels of fixed effects

Run Stata code from the Atom text editor on Windows, Mac, or Linux

Stata-like Regression Functionality for R