Specification and estimation of rating scale models - with an application to the determinants of life satisfaction

Raphael Studer and Rainer Winkelmann

No 3, ECON - Working Papers from Department of Economics - University of Zurich

Abstract: This article proposes a new class of rating scale models, which merges advantages and overcomes shortcomings of the traditional linear and ordered latent regression models. Both parametric and semi-parametric estimation is considered. The insights of an empirical application to satisfaction data are threefold. First, the methods are easily implementable in standard statistical software. Second, the non-linear model allows for exible marginal effects, and predicted means respect the boundaries of the dependent variable. Third, average marginal effects are similar to ordinary least squares estimates.

Keywords: Rating variables; non-linear least squares; quasi-maximum likelihood; semiparametric least squares; subjective well-being (search for similar items in EconPapers)
JEL-codes: C21 I00 (search for similar items in EconPapers)
Date: 2011-01
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Specification and Estimation of Rating Scale Models: With an Application to the Determinants of Life Satisfaction (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:zur:econwp:003

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