Specification and Estimation of Rating Scale Models: With an Application to the Determinants of Life Satisfaction
AbstractRating 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.
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Bibliographic InfoPaper provided by DIW Berlin, The German Socio-Economic Panel (SOEP) in its series SOEPpapers on Multidisciplinary Panel Data Research with number 372.
Length: 18 , Anh. p.
Date of creation: 2011
Date of revision:
rating variables; non-linear least squares; quasi-maximum likelihood; semiparametric least squares; subjective well-being;
Other versions of this item:
- Raphael Studer & Rainer Winkelmann, 2011. "Specification and estimation of rating scale models - with an application to the determinants of life satisfaction," ECON - Working Papers 003, Department of Economics - University of Zurich.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- I0 - Health, Education, and Welfare - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-05-24 (All new papers)
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