EconPapers has moved to http://EconPapers.repec.org! Please update your bookmarks.
RD: Stata module for regression discontinuity estimation
Austin Nichols Statistical Software Components from Boston College Department of Economics
rd implements a set of regression-discontinuity estimation methods that are thought to have very good internal validity, for estimating the causal effect of one explanatory variable in the case where there is an observable jump (discontinuity) in the level of the explanatory variable. Local linear regression is used to construct point estimates. Graphics dictate Stata 8.2 or later. An older version of the software is also included as rd_obs.
Requires: Stata version 8.2
Keywords: regression discontinuity; internal validity; policy analysis (search for similar items in EconPapers)
Date: 2007-11-06, Revised 2012-06-17
Note: This module should be installed from within Stata by typing "ssc install rd". Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc Citations View citations in EconPapers (6) Track citations by RSS feed
Downloads: (external link) http://fmwww.bc.edu/repec/bocode/r/rd.ado program code (text/plain) http://fmwww.bc.edu/repec/bocode/r/rd.hlp help file (text/plain) http://fmwww.bc.edu/repec/bocode/r/rd_obs.ado program code (text/plain) http://fmwww.bc.edu/repec/bocode/r/rd_obs.hlp help file (text/plain) http://fmwww.bc.edu/repec/bocode/v/votex.dta sample data file (application/x-stata)
Related works: This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:boc:bocode:s456888
Ordering information: This software item can be ordered from http://repec.org/docs/ssc.php
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics
Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().