Heteroskedasticity, extremity, and moderation in heterogeneous choice models

Garrett Glasgow

Fall North American Stata Users' Group Meetings 2008 from Stata Users Group

Abstract: Heterogeneous choice models are extensions of binary and ordinal regression models that explicitly model the determinants of heteroskedasticity. I show that in many cases moderation (proximity to a choice threshold) will produce empirical results identical to heteroskedasticity in binary heterogeneous choice models, while extremity (a preference for endpoint categories) will produce empirical results identical to heteroskedasticity in ordinal heterogeneous choice models. I show how a simple extension of Williams' user-written oglm command (2006) can create heterogenous ordered choice models that can distinguish between heteroskedasticity, extremity, and moderation.

Date: 2008-11-16
New Economics Papers: this item is included in nep-dcm
References: Add references at CitEc
Citations:

Downloads: (external link)
http://repec.org/fnasug2008/Glasgow_Stata.ppt (application/x-mspowerpoint)

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:fsug08:16

Access Statistics for this paper

More papers in Fall North American Stata Users' Group Meetings 2008 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().