Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables

By Richard Williams. 2006

2,098 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c93bd18eafd199d22c76ac3c34ebc4c1783c24cb

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Citations in the corpus

Considering, planning, and realizing migration in early adulthood. The influence of life-course events and perceived opportunities on leaving the city in Germany (2010, methodology): “Considering and planning migration was analyzed via generalized ordered logistic regression (Williams 2006).”
Preferences for redistribution: an empirical analysis over 33 countries (2011, methodology): “26Stata user-written command gologit written by Fu [20] and extended by Williams [41].”
Why Does the Apple Fall Far from the Tree? How Early Political Socialization Prompts Parent-Child Dissimilarity (2013, background): “65 Williams 2006. because this assumption appears to hold in both occasions for this variable.”
Attitudes towards redistributive spending in an era of demographic ageing: the rival pressures from age and income in 14 OECD countries (2009, positive): “In order to bypass the often unrealistic and, as in our case, frequently violated ‘parallel regression assumption’ in simple ordinal logistic regressions, we chose to estimate generalized ordered logit models (see Williams, 2006).”
Economic Migration and Happiness: Comparing Immigrants’ and Natives’ Happiness Gains From Income (2011, methodology): “I therefore aggregated the sparsely populated lower ranges of life satisfaction (one through four) and used “gologit2” (Williams 2006) to determine a partial proportional odds model, which enables estimation of a model in which coefficients for independent variables are allowed to vary across…”
Determinants of job satisfaction: a European comparison of self-employed and paid employees (2011, positive): “See Williams (2006) for a complete description of the methodology.”
Social Preferences and Supply Chain Performance: An Experimental Study (2008, methodology): “We use the partial proportional odds model (Peterson and Harrell 1990, Richard 2006), which represents our data structure.”
Modeling Ordered Choices: A Primer and Recent Developments (2008, positive): “The “GOProbit” results – a probit version of Williams’s (2006) GOLogit approach – show the effect of relaxing the single crossing restriction.”
Micro-Foundations of Firm-Specific Human Capital: When Do Employees Perceive Their Skills to be Firm-Specific? (2016, positive): “Second, using the “gologit2” command in STATA 12.1 (Williams, 2006), we estimated a generalized ordered logitwhich relaxes theproportional odds assumption implicit in ordered choice models.”
Does sport make you happy? An analysis of the well‐being derived from sports participation (2011, background): “A very important point to note is that they are not commensurate with the Generalised Ordered models emanating from Williams (2006) and Boes and Winkelmann (2004), which reject the parallel regression assumption that the behavioural parameters are constant across discrete outcomes and model…”