Ordered Response Models
Stefan Boes () and
Rainer Winkelmann ()
No 507, SOI - Working Papers from Socioeconomic Institute - University of Zurich
We discuss regression models for ordered responses, such as ratings of bonds, schooling attainment, or measures of subjective well-being. Commonly used models in this context are the ordered logit and ordered probit regression models. They are based on an underlying latent model with single index function and constant thresholds. We argue that these approaches are overly restrictive and preclude a flexible estimation of the effect of regressors on the discrete outcome probabilities. For example, the signs of the marginal probability effects can only change once when moving from the smallest category to the largest one. We then discuss several alternative models that overcome these limitations. An application illustrates the benefit of these alternatives.
Keywords: Marginal effects; generalized threshold; sequential model; random coeffcients; latent class analysis; happiness (search for similar items in EconPapers)
JEL-codes: C25 I29 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Published in Allgemeines Statistisches Archiv 90, 2006, pages 165-179
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Journal Article: Ordered response models (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:soz:wpaper:0507
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