QV: Stata module to compute quasi-variances
Aspen Chen ()
Additional contact information
Aspen Chen: University of Connecticut
Statistical Software Components from Boston College Department of Economics
qv estimates quasi-variances (Firth, Sociological Methodology, 2003) for one multi-category variable. This approach addresses the zero standard error issue for the reference category in regression models by "reallocating" the variances.
Requires: Stata version 11
Keywords: quasi-variances; Firth; multi-group comparisons (search for similar items in EconPapers)
Date: 2014-05-07, Revised 2014-07-21
Note: This module should be installed from within Stata by typing "ssc install qv". 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/q/qv.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/q/qvgraph.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/glm_exp.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/q/qv.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/q/qvgraph.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/q/qv_example.ado program code (text/plain)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457831
Ordering information: This software item can be ordered from
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 ().