Results 211 to 220 of about 69,287 (267)
Some of the next articles are maybe not open access.
The Stata Journal, 2022
The parameters of logit models are typically difficult to interpret, and the applied literature is replete with interpretive and computational mistakes. In this article, I review a menu of options to interpret the results of logistic regressions correctly and effectively using Stata.
Luca J Uberti
exaly +2 more sources
The parameters of logit models are typically difficult to interpret, and the applied literature is replete with interpretive and computational mistakes. In this article, I review a menu of options to interpret the results of logistic regressions correctly and effectively using Stata.
Luca J Uberti
exaly +2 more sources
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.
openaire +1 more source
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.
openaire +1 more source
Efficiency and the logit model
Annals of Operations Research, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
THE LOGIT AS A MODEL OF PRODUCT DIFFERENTIATION
Oxford Economic Papers, 1992The logit discrete choice model is argued to be flexible, tractable, and intuitively sound as a demand model of product differentiation under oligopoly. The free entry equilibrium product range is greater than or less than the social optimum, depending on cost and demand conditions and the degree of heterogeneity of consumer tastes.
Anderson, Simon P, De Palma, Andre
openaire +1 more source
Efficient MCMC for Binomial Logit Models
ACM Transactions on Modeling and Computer Simulation, 2013This article deals with binomial logit models where the parameters are estimated within a Bayesian framework. Such models arise, for instance, when repeated measurements are available for identical covariate patterns. To perform MCMC sampling, we rewrite the binomial logit model as an augmented model which involves some latent variables called random ...
Agnes Fussl +2 more
openaire +1 more source
A Representative Consumer Theory of the Logit Model
International Economic Review, 1988Discrete choice models (to be more precise: logit models) are usually employed to describe consumers' behavior when they are faced with a variety of mutually exclusive choices. Within this framework, total consumption is treated as given. In the present paper the authors first derive the demand functions and the direct utility function for a ...
Anderson, Simon Peter +2 more
openaire +2 more sources
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 ...
openaire +4 more sources
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 ...
openaire +1 more source
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 ...
openaire +1 more source
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.
openaire +1 more source
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.
openaire +1 more source