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Journal of Marketing Research, 1986
The typical testing for equality of parameters across several response functions cannot be performed when the dependent variable is a probability. The authors investigate the pooling issues of the response function when the model is specified as a transformational logit.
Hubert Gatignon, David J. Reibstein
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The typical testing for equality of parameters across several response functions cannot be performed when the dependent variable is a probability. The authors investigate the pooling issues of the response function when the model is specified as a transformational logit.
Hubert Gatignon, David J. Reibstein
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2014
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.
Grilli, Leonardo, Rampichini, Carla
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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.
Grilli, Leonardo, Rampichini, Carla
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Transportation Research Part B: Methodological, 1991
The logit model is the simplest and best-known probabilistic choice model. Nevertheless according to the deficient flexibility there are problems of making use of the multinomial logit model. In this paper a generalized logit model, which is essentially more flexible than the traditional multinomial logit model, is presented.
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The logit model is the simplest and best-known probabilistic choice model. Nevertheless according to the deficient flexibility there are problems of making use of the multinomial logit model. In this paper a generalized logit model, which is essentially more flexible than the traditional multinomial logit model, is presented.
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Statistica Neerlandica, 1988
This paper reviews aspects of the application of logit models in economics. We consider some economic models that lead to a simple or a multinomial logit specification. A detailed account is given of the possible specifications of the multinomial model. We stress the relationship between distributional assumptions and functional form assumptions. Some (
Cramer, J. S., Ridder, G.
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This paper reviews aspects of the application of logit models in economics. We consider some economic models that lead to a simple or a multinomial logit specification. A detailed account is given of the possible specifications of the multinomial model. We stress the relationship between distributional assumptions and functional form assumptions. Some (
Cramer, J. S., Ridder, G.
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Sociological Methods & Research, 1993
Multinomial logit discrete-choice models are now being used more frequently in sociological research, but often without appropriate attention to the central role played by the independence of irrelevant alternatives (IIA) property. In this article, three tests of the IIA property are discussed and then how to apply them is illustrated, using a data ...
JUNSEN ZHANG, SAUL D. HOFFMAN
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Multinomial logit discrete-choice models are now being used more frequently in sociological research, but often without appropriate attention to the central role played by the independence of irrelevant alternatives (IIA) property. In this article, three tests of the IIA property are discussed and then how to apply them is illustrated, using a data ...
JUNSEN ZHANG, SAUL D. HOFFMAN
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Testing logit models in practice
Empirical Economics, 1991The aim of the paper is to provide the practioner with easily implementable procedures, both numerical and graphical, to test the specification of the dichotomous, linear-in-coefficents logit model. We discuss the performance of these asymptotic methods in small samples on the basis of Monte-Carlo simulations and apply them to a cross-section study of ...
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1990
In chapters 4, 5 and 6 the categorical variables appeared in the model in a symmetrical way. In many situations, for example in examples 6.1 and 6.2 in chapter 6, one of the variable is of special interest. For the survival data in example 6.1, survival is the variable of special interest, and the problem is to study if the other three variables have ...
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In chapters 4, 5 and 6 the categorical variables appeared in the model in a symmetrical way. In many situations, for example in examples 6.1 and 6.2 in chapter 6, one of the variable is of special interest. For the survival data in example 6.1, survival is the variable of special interest, and the problem is to study if the other three variables have ...
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2014
Das erste Problem, das bei der Untersuchung des Zusammenhangs zwischen einer dichotomen abhangigen Variablen und einer oder mehreren intervallskalierten und kontinuierlichen unabhangigen Variablen auftritt, besteht in der Suche nach einer geeigneten Gleichung fur diesen Zusammenhang bzw. fur eine geeignete Form der Gleichung.
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Das erste Problem, das bei der Untersuchung des Zusammenhangs zwischen einer dichotomen abhangigen Variablen und einer oder mehreren intervallskalierten und kontinuierlichen unabhangigen Variablen auftritt, besteht in der Suche nach einer geeigneten Gleichung fur diesen Zusammenhang bzw. fur eine geeignete Form der Gleichung.
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Estimating “tree” logit models
Transportation Research Part B: Methodological, 1987Abstract The existence of the “tree” generalisation of the multinomial logit model, its consistency with theories of “rational” human behaviour, as well as the advantages offered in terms of more realistic modelling by this model form, have all been known for some time. Although a few studies have applied tree logit models, however, applications have
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