Giter VIP home page Giter VIP logo

rddsga's Introduction

rddsga

Subgroup analysis for regression discontinuity designs using inverse propensity score weighting

Installation

The package can be installed directly from SSC:

ssc install rddsga

Alternatively, you can get the latest version hosted in this repository by first setting the location with net:

net from https://raw.githubusercontent.com/acarril/rddsga/master/

Then you can use the following commands to describe and install the package and its ancillary files:

// Describe
net describe rddsga
// Install ado-files and help files
net install rddsga
// Install ancillary files (datasets)
net get rddsga

If you have installed the program and want to update it, be sure to net install and net get using options replace force.

Help

Refer to the included help file for details regarding usage. For additional details regarding the methodology refer to the project wiki.

rddsga's People

Contributors

acarril avatar ajcazor avatar

Stargazers

 avatar Johannes S Kunz avatar Austin Moss avatar  avatar Aaditya Dar avatar Kyle Barron avatar William Buchanan avatar

Watchers

James Cloos avatar  avatar  avatar

rddsga's Issues

Standar errors

Hi! I am using this command, but I am trying to recover the SE or the P-value for the estimation of the subgroups and differences, and I can't find them. I checked all the scalars and matrices, but I can't find them. The help option indicates that this should be in the matrix r(table), but Stata indicates that this matrix operation is not found. I appreciate any help.

Program does not work for cutoffs other than zero

It seems that when the bandwidth criteria is set (here), it ignores the cutoff:

local bwidth abs(`assignvar') < `bwidth'

The fix is probably to set:

local bwidth abs(`assignvar'-`cutoff') < `bwidth'

Otherwise, nothing happens when I run the command (which is tracked to the regress/ivregress calls dropping the variables of interest)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.