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

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  • Raphael Studer
  • Rainer Winkelmann

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.

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Bibliographic Info

Paper provided by Department of Economics - University of Zurich in its series ECON - Working Papers with number 003.

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Date of creation: Jan 2011
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Handle: RePEc:zur:econwp:003

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Related research

Keywords: Rating variables; non-linear least squares; quasi-maximum likelihood; semiparametric least squares; subjective well-being;

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