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 ...

Summary We propose double/debiased machine learning approaches to infer a parametric component of logistic partially linear model. Our framework is based on Neyman orthogonal score equation consisting two nuisance models for the nonparametric model and conditional mean exposure with control group. To estimate models, we separately consider use high dimensional (HD) sparse regression (nonparamet...

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...

Since the dissolution of the Rural Cooperative Medical System at the end of the commune period, illness has emerged as a leading cause of poverty in rural China. To address the poor state of health care, the Chinese government unveiled the New Cooperative Medical System in 2002. Because local governments have been given significant control over program design, fundamental characteristics of the...

The behavior of the conditional logistic estimator is analyzed under a causal model for two-arm experimental studies with possible non-compliance in which the effect of the treatment is measured by a binary response variable. We show that, when non-compliance may only be observed in the treatment arm, the effect (measured on the logit scale) of the treatment on compliers and that of the control...

This paper considers estimation and inference on semiparametric nonlinear panel single index models with predetermined explanatory variables and interactive individual and time effects. These include static and dynamic probit, logit, and Poisson models. Fixed effects conditional maximum likelihood estimation is challenging because the log likelihood function is not concave in the individual and...

Service memberships are commonly used to support consumer relationships, yet the mechanisms for consumers’ membership decisions are poorly understood. This paper develops a model of consumers’ decision to modify (upgrade or downgrade) a service membership conditional on their decision to renew. Bridging insights from relationship marketing and consumer behavior, the proposed model conceptualize...

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...