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Single-Variable Threshold Effects in Ordered Response Models With an Application to Estimating the Income-Happiness Gradient

Bibliographic Data

ID19417422
AuthorsAndrew Hodge (0000-0002-7203-9233, The University of Queensland), Sriram Shankar (0000-0001-9096-9883, Western Sydney University)
Year2016
Volume34
Issue1
Pages42-52
Publication date2016-01-02
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2014.991785
OpenAlexW2085085227
LanguageEN
References cited33

This short article extends well-known threshold models to the ordered response setting. We consider the case where the sample is endogenously split to estimate regime-dependent coefficients for one variable of interest, while keeping the other coefficients and auxiliary parameters constant across the threshold. We use Monte Carlo methods to examine the behavior of the model. In addition, we derive the formulae for the partial effects associated with the model. We apply our threshold model to the relationship between income and self-reported happiness using data drawn from the U.S. General Social Survey. While the findings suggest the presence of a threshold in the income-happiness gradient at approximately U.S. $76,000, no evidence is found in support of a satiation point.

Econometrics · Economics · Happiness · Mathematical analysis · Monte Carlo method · Physics · Statistics · Threshold model · Computer Science · Income, Poverty, and Inequality · Mathematics · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology · Urban, Neighborhood, and Segregation Studies

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Highly citedNo

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