Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77565
Authors: 
Studer, Raphael
Winkelmann, Rainer
Year of Publication: 
2011
Series/Report no.: 
Working Paper Series, Department of Economics, University of Zurich 3
Abstract: 
This article proposes a new class of rating scale models, which merges advantages and overcomes shortcomings of the traditional linear and ordered latent regression models. Both parametric and semi-parametric estimation is considered. The insights of an empirical application to satisfaction data are threefold. First, the methods are easily implementable in standard statistical software. Second, the non-linear model allows for exible marginal effects, and predicted means respect the boundaries of the dependent variable. Third, average marginal effects are similar to ordinary least squares estimates.
Subjects: 
rating variables
non-linear least squares
quasi-maximum likelihood
semiparametric least squares
subjective well-being
JEL: 
C21
I00
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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