Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Reduced-Form Trinomial Probit

A Quantal Response Model Without A Priori Restrictions

Bibliographic Data

ID19418666
AuthorsJoseph V Terza (University of Georgia, corresponding author)
Year1985
Volume3
Issue1
Pages54-59
Publication date1985-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1985.10509426
OpenAlexW2037327047
LanguageEN
Citations received1
References cited4

This article develops the direct trivariate extension of the binary probit model. Similar to the binary probit specification, the trivariate model involves an admissible reduction of the nonidentified structural parameters. The reduced-form model is distinguished from other trinomial specifications in that it allows for nonzero covariances among the utility variates that characterize individuals' valuations of the choice alternatives. The independence of irrelevant alternatives is thus avoided. The flexible covariance structure of the reduced-form model, along with its freedom from a priori restrictions, makes it widely applicable. The method is applied to the analysis of individual schooling choice

A priori and a posteriori · Binary number · Covariance · Econometrics · Logit · Multinomial probit · Multivariate probit model · Ordered probit · Probit · Probit model · Statistics · Trinomial · Computer Science · Economic and Environmental Valuation · Gender, Labor, and Family Dynamics · Housing Market and Economics · Mathematics

  • Prosecutors, judges and sentencing disparities

    Open Access•Alessandro Melcarne, Benjamin Monnery et al.•International Review of Law and…•2022

  • A Conditional Probit Model for Qualitative Choice

    Jerry A Hausman, David A Wise•Econometrica•1978

  • Education and Self-Selection

    Robert J Willis, Sherwin Rosen•Journal of Political Economy•1979

Unique citing works1
Citations per year0.25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae