Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach

Brian Erard ()

MPRA Paper from University Library of Munich, Germany

Abstract: Although one often has detailed information about participants in a program, the lack of comparable information on non-participants precludes standard qualitative choice estimation. This challenge can be overcome by incorporating a supplementary sample of covariate values from the general population. New estimators are introduced that exploit the parameter restrictions implied by the relationship between the marginal and conditional response probabilities in the supplementary sample. An important advantage of these estimators over the existing alternatives is that they can be applied to exogenously stratified samples even when the underlying stratification criteria are unknown. The ability of these new estimators to readily incorporate sample weights make them applicable to a much wider range of data sources. The new estimators are also easily generalized to address polychotomous outcomes.

Keywords: Qualitative response; Discrete choice; Choice-based sampling; Supplementary sampling; Contaminated controls (search for similar items in EconPapers)
JEL-codes: C13 C25 C35 (search for similar items in EconPapers)
Date: 2017-06-24, Revised 2020-04-26
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/99887/1/MPRA_paper_99887.pdf original version (application/pdf)

Related works:
Journal Article: Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach (2022)
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:pra:mprapa:99887

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().