EconPapers    
Economics at your fingertips  
 

IGENERATE: Stata module to apply a variety of coding schemes, including weighted effect coded interactions

Alexander Schmidt-Catran

Statistical Software Components from Boston College Department of Economics

Abstract: igenerate generates new indicator variables from categorical predictors, including weighted effect coded interactions. Note that Stata’s built-in command contrast does this job for most coding schemes and I recommend using contrast for most situations in applied research. igenerate does, however, construct weighted effect coded interactions, something contrast cannot do. For more information on this approach see the paper “Weighted effect coded interaction effects: a novel moderated regression model for observational studies” by Te Grotenhuis et al. /2016) in the International Journal of Public Health. Furthermore, igenerate might be useful for didactical purposes.

Language: Stata
Requires: Stata version 12.1
Keywords: indicator variables; categorical data; weighted effects (search for similar items in EconPapers)
Date: 2016-10-22
Note: This module should be installed from within Stata by typing "ssc install igenerate". 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/i/igenerate.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/igenerate.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bmi_sample.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) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458259

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 2025-03-30
Handle: RePEc:boc:bocode:s458259