2017
DOI: 10.1007/bf03399432
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Econometric Analysis of Ratings — with an Application to Health and Wellbeing

Abstract: a We are grateful to two anonymous reviewers for very helpful comments on an earlier version of the paper. b Algrano. Email: raphael.a.studer@gmail.com. SUMMARYWe propose a new non-linear regression model for rating dependent variables. The rating scale model accounts for the upper and lower bounds of ratings. Parametric and semi-parametric estimation is discussed. An application investigates the relationship between stated health satisfaction and physical and mental health scores derived from self-reports of… Show more

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Cited by 9 publications
(6 citation statements)
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“…The answers were given on a four-point Likert scale ranging from “very serious threat” to “no threat at all,” as listed in graph B of Figure 2 . As a follow-up, the identical questions were asked a second time, with the answers on a discrete rating scale as described by Studer and Winkelmann (2017) . The discrete rating scale ranged from zero to ten, and only the extremes were verbally labeled (“0 = no threat at all;” “10 = very serious threat”).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The answers were given on a four-point Likert scale ranging from “very serious threat” to “no threat at all,” as listed in graph B of Figure 2 . As a follow-up, the identical questions were asked a second time, with the answers on a discrete rating scale as described by Studer and Winkelmann (2017) . The discrete rating scale ranged from zero to ten, and only the extremes were verbally labeled (“0 = no threat at all;” “10 = very serious threat”).…”
Section: Methodsmentioning
confidence: 99%
“…The results were represented as AME representing differences on the 0-10 scale. For an explanation of this method, see e.g., Studer and Winkelmann (2017) . Each regression model was optimized such that systematic factor elimination minimized Bayes’ information criterion (BIC) 4 .…”
Section: Methodsmentioning
confidence: 99%
“…The result of different regression analyses on three important outcome variables are presented in Table 9.3. With regard to overall life satisfaction (11-point scale) and social isolation (13-point index), we conduct rating scale regressions with Bernoulli quasi maximum likelihood estimations (Studer and Winkelmann 2016) using the glm command in STATA as recommended in Studer and Winkelmann (2011, p. 8). The results on employment continuity (0 = no/1 = yes) relies on binary logistic regression (Hosmer et al 2013, pp.…”
Section: Migration Outcomesmentioning
confidence: 99%
“…For each research question, the marginal effects of the situational vignette parameters on the respective outcome of interest were estimated by a regression model with intercepts for individuals. Robust standard errors were (1996), with individual intercepts as in Wagner (2003), and applied to discrete rating scales by Studer and Winkelmann (2017) (Model 1). In contrast to Likert scales, the methodology by Studer and Winkelmann (2017) satisfies the assumptions of fractional regression when modelling (quasi-)metric ratings (see 'Questionnaire').…”
Section: Discussionmentioning
confidence: 99%