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

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 e ects are similar to ordinary least squares estimates

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Year of publication:	2011
Authors:	Studer, Raphael ; Winkelmann, Rainer
Publisher:	[S.l.] : SSRN
Subject:	Theorie \| Theory \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Regressionsanalyse \| Regression analysis \| Maximum-Likelihood-Schätzung \| Maximum likelihood estimation \| Kleinste-Quadrate-Methode \| Least squares method \| Schätzung \| Estimation

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