# mostly-harmless-replication **Repository Path**: jefeerzhang/mostly-harmless-replication ## Basic Information - **Project Name**: mostly-harmless-replication - **Description**: Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia. - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-03-15 - **Last Updated**: 2022-05-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## 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)!