Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/vikjam/mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
https://github.com/vikjam/mostly-harmless-replication

econometrics economics julia python r replication stata

Last synced: 6 days ago
JSON representation

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

Awesome Lists containing this project

README

        

# Mostly Harmless Replication

## Synopsis

A bold attempt to replicate the tables and figures from the book [_Mostly Harmless Econometrics_](http://www.mostlyharmlesseconometrics.com/) in the following languages:
* Stata
* R
* Python
* Julia

Why undertake this madness? My primary motivation was to see if I could replace Stata with either R, Python, or Julia in my workflow, so I tried to replicate _Mostly Harmless Econometrics_ in each of these languages.

## Chapters
1. Questions about _Questions_
2. The Experimental Ideal
3. [Making Regression Make Sense](03%20Making%20Regression%20Make%20Sense/03%20Making%20Regression%20Make%20Sense.md)
4. [Instrumental Variables in Action](04%20Instrumental%20Variables%20in%20Action/04%20Instrumental%20Variables%20in%20Action.md)
5. [Parallel Worlds](05%20Fixed%20Effects%2C%20DD%20and%20Panel%20Data/05%20Fixed%20Effects%2C%20DD%20and%20Panel%20Data.md)
6. [Getting a Little Jumpy](06%20Getting%20a%20Little%20Jumpy/06%20Getting%20a%20Little%20Jumpy.md)
7. [Quantile Regression](07%20Quantile%20Regression/07%20Quantile%20Regression.md)
8. [Nonstandard Standard Error Issues](08%20Nonstandard%20Standard%20Error%20Issues/08%20Nonstanard%20Standard%20Error%20Issues.md)

## Getting started
Check out [Getting Started](https://github.com/vikjam/mostly-harmless-replication/wiki/Getting-started) in the Wiki for tips on setting up your machine with each of these languages.

## Contributions
Feel free to submit [pull requests](https://github.com/blog/1943-how-to-write-the-perfect-pull-request)!