Arbeitspapier

Ordered response models

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.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 0507

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Education and Economic Development
Thema
marginal effects
generalized threshold
sequential model
random coefficients
latent class analysis
happiness
Regression
Schätztheorie
Sequentialanalyse

Ereignis
Geistige Schöpfung
(wer)
Boes, Stefan
Winkelmann, Rainer
Ereignis
Veröffentlichung
(wer)
University of Zurich, Socioeconomic Institute
(wo)
Zurich
(wann)
2005

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Boes, Stefan
  • Winkelmann, Rainer
  • University of Zurich, Socioeconomic Institute

Entstanden

  • 2005

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