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

Raphael Studer; Rainer Winkelmann

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
Publisher:	Berlin : DIW
Subject:	rating variables \| non-linear least squares \| quasi-maximum likelihood \| semiparametric least squares \| subjective well-being \| Regressionsanalyse \| Regression analysis \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Maximum-Likelihood-Schätzung \| Maximum likelihood estimation \| Kleinste-Quadrate-Methode \| Least squares method \| Theorie \| Theory

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Extent:	Online-Ressource (18 S., 0,68 MB) graph. Darst.
Series:	SOEP papers on multidisciplinary panel data research / German Socio-Economic Panel Study (SOEP), DIW Berlin. - Berlin : DIW, ISSN 1864-6689, ZDB-ID 2403710-2. - Vol. 372
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Systemvoraussetzungen: Acrobat Reader
Other identifiers:	hdl:10419/150917 [Handle]
Classification:	C21 - Cross-Sectional Models; Spatial Models ; I0 - Health, Education, and Welfare. General
Source:	ECONIS - Online Catalogue of the ZBW

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