EconPapers    
Economics at your fingertips  
 

SCENREG: Stata module for estimating effects in models for binary variables given a scenario concerning unobserved variables

Maarten Buis ()

Statistical Software Components from Boston College Department of Economics

Abstract: The results of many models for binary dependent variables can be influenced by unobserved variables, even when these unobserved variable are uncorrelated with any of the observed variables. With scenreg one can explore the seriousness of this potential problem for your data and hypotheses by allowing you to estimate the results given a wide set of scenarios concerning the unobserved variable.

Language: Stata
Requires: Stata version 11.0
Keywords: sensitivity analysis; unobserved heterogeneity; non-linear models; maximum simulated likelihood (search for similar items in EconPapers)
Date: 2010-11-08
Note: This module should be installed from within Stata by typing "ssc install scenreg". Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/scenreg.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/scenreg.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/scenreg_lf.ado program code (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:s457199

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 ().

 
Page updated 2018-05-23
Handle: RePEc:boc:bocode:s457199