Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/150917
Authors: 
Studer, Raphael
Winkelmann, Rainer
Year of Publication: 
2011
Series/Report no.: 
SOEPpapers on Multidisciplinary Panel Data Research 372
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.
Subjects: 
rating variables
non-linear least squares
quasi-maximum likelihood
semiparametric least squares
subjective well-being
JEL: 
C21
I0
Document Type: 
Working Paper

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