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

24 Pages Posted: 25 May 2011

See all articles by Raphael Studer

Raphael Studer

German Institute for Economic Research (DIW Berlin)

Rainer Winkelmann

University of Zurich - Statistics and Empirical Economic Research; IZA Institute of Labor Economics; Centre for Economic Policy Research (CEPR)

Date Written: March 2011

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 semi-parametric 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, semi-parametric least squares, subjective well-being

JEL Classification: C21, I00

Suggested Citation

Studer, Raphael and Winkelmann, Rainer, Specification and Estimation of Rating Scale Models - With an Application to the Determinants of Life Satisfaction (March 2011). DIW Berlin Discussion Paper No. 372, Available at SSRN: https://ssrn.com/abstract=1846465 or http://dx.doi.org/10.2139/ssrn.1846465

Raphael Studer (Contact Author)

German Institute for Economic Research (DIW Berlin) ( email )

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Rainer Winkelmann

University of Zurich - Statistics and Empirical Economic Research ( email )

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IZA Institute of Labor Economics ( email )

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Centre for Economic Policy Research (CEPR)

London
United Kingdom

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