We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. Classic applications include the estimation of coefficients of utility functions to characterize risk attitudes and discounting functions to characterize impatience. There are several unexpected benefits of this extension, apa...

One of the main criticisms to game theory concerns the assumption of full rationality. Logit dynamics is a decentralized algorithm in which a level of irrationality (a.k.a. “noise”) is introduced in players’ behavior. In this context, the solution concept of interest becomes the logit equilibrium, as opposed to Nash equilibria. Logit equilibria are distributions over strategy profiles that poss...

We present a general description of two mixed branes interactions. For this we consider two mixed branes with dimensions p1 and p2, in external field Bμν and arbitrary gauge fields A (1) α1 and A (2) α2 on the world volume of them, in spacetime in which some of its directions are compactified on circles with different radii. Some examples are considered to clear these general interactions. Fina...

This paper analyses the determinants of happiness in seven Eastern European transition countries during the early phase of economic transition. The analysis of representative survey data in an ordered logit model shows that those core socio-demographic and economic variables known to be relevant from studies on the US and Western European countries have a similar impact on happiness in Eastern ...

A computationally attractive model for the analysis of conjoint choice experiments is the mixed multinomial logit model, a multinomial logit model in which it is assumed that the coefficients follow a (normal) distribution across subjects. This model offers the advantage over the standard multinomial logit model of accommodating heterogeneity in the coefficients of the choice model across subje...

A major drawback associated with the use of classical statistical methods for business failure prediction on top of financial distress is their lack of high accuracy rate. This work analyses the use of the two-stage ensemble of multivariate discriminant analysis (MDA) and logit to improve predictive performance of classical statistical methods. All possible ratios are firstly built from the qua...

This thesis examines how to model the choice of individual travelers among various possible travel alternatives in the airline industry. A review of the models used to represent that choice situation in the Passenger OriginDestination Simulator (PODS) was undertaken for two reasons. First, the development of computational capabilities has lead to advancements in consumer choice theory that enab...

This paper compares neural network models with the standard logit and probit models, the most widely used choice/classi cation models in current empirical research, and explores the application of neural network models in analyzing political choice/classi cation problems. Political relationships are usually nonlinear and of unknown functional forms, and political data are likely noisy. The logi...