STOCDOM: Stata module to compute bounds assuming stochastic dominance
Alejandro Ome ()
Additional contact information
Alejandro Ome: NORC at the University of Chicago
Statistical Software Components from Boston College Department of Economics
Abstract:
stocdom calculates bounds for treatment effects in randomized controlled trials in the presence of survey attrition, when stochastic dominance is assumed as in Zhang and Rubin (2003). In this context stochastic dominance implies that the outcomes of individuals that are always observed are higher than those that are observed contingent on treatment assignment. The command bounds the treatment effect for the always observed.
Language: Stata
Requires: Stata version 18
Keywords: stochastic dominance; bounds (search for similar items in EconPapers)
Date: 2024-03-18
Note: This module should be installed from within Stata by typing "ssc install stocdom". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/stocdom.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stocdom.sthlp help file (text/plain)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459306
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 Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().