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

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.

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Year of publication:	2011
Authors:	Studer, Raphael ; Winkelmann, Rainer
Institutions:	Forschungsbasierte Infrastruktureinrichtung "Sozio-oekonomisches Panel (SOEP)", DIW Berlin (Deutsches Institut für Wirtschaftsforschung)
Subject:	rating variables \| non-linear least squares \| quasi-maximum likelihood \| semiparametric least squares \| subjective well-being

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Extent:	application/pdf
Series:	SOEPpapers on Multidisciplinary Panel Data Research. - ISSN 1864-6689.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 372 18 pages long, Anh. p.
Classification:	C21 - Cross-Sectional Models; Spatial Models ; I0 - Health, Education, and Welfare. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009021618