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Does physical exercise inhibit smoking behavior? Evidence from the China General Social Survey. [PDF]
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Frequentist model averaging for multinomial and ordered logit models
International Journal of Forecasting, 2014Abstract Multinomial and ordered Logit models are quantitative techniques which are used in a range of disciplines nowadays. When applying these techniques, practitioners usually select a single model using either information-based criteria or pretesting.
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Efficiency Gains in Rank‐ordered Multinomial Logit Models
Oxford Bulletin of Economics and Statistics, 2017AbstractThis paper considers estimation of discrete choice models when agents report their ranking of the alternatives (or some of them) rather than just the utility maximizing alternative. We investigate the parametric conditional rank‐ordered Logit model. We show that conditions for identification do not change even if we observe ranking.
Arie Beresteanu, Federico Zincenko
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The ordered logit model is a regression model for an ordinal response variable. The model is based on the cumulative probabilities of the response variable: in particular, the logit of each cumulative probability is assumed to be a linear function of the covariates with regression coefficients constant across response categories.
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A note on the use of rank‐ordered logit models for ordered response categories
British Journal of Mathematical and Statistical Psychology, 2022Abstract Models for rankings have been shown to produce more efficient estimators than comparable models for first/top choices. The discussions and applications of these models typically only consider unordered alternatives. But these models can be usefully adapted to the case where a respondent ranks a set of ordered alternatives ...
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