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Specification and Estimation of Rating Scale Models: With an Application to the Determinants of Life Satisfaction

Raphael Studer and Rainer Winkelmann

No 372, SOEPpapers on Multidisciplinary Panel Data Research from DIW Berlin, The German Socio-Economic Panel (SOEP)

Abstract: Rating variables indicate the extent to which a quality is present, or absent, in a unit of observation. In this paper, we discuss a class of non-linear regression models for rating dependent variables and their estimation by parametric and semiparametric methods. An application to life satisfaction illustrates the main differences between the Rating Scale Model and ordinary least squares.

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 I0 (search for similar items in EconPapers)
Pages: 18 , Anh. p.
Date: 2011
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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) Downloads
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