The differences that exist inside the labor Ecuadorian market, in the different branches of activity, demonstrate the training levels that the workers must have to avoid negative effects. However, in this study, the role played by individual, jobs and residence characteristics are analyzed on...

This paper focuses on the development of both failure prediction models on a paired sample and a random sample of small and medium-sized firms with head offices located in the region of Castilla y León (Spain), in order to prove if the predictive power of the developed models is affected by the...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

The main objective of this research was to identify the determining factors of the use of public instruments to manage risk in the Chilean wine industry. A binomial logistic regression model was proposed. Based on a survey of 104 viticulture and winemaking companies, a database was constructed...

The present article aims to analyze the Cartagena de Indias poverty profile and its determinants, which have a direct impact on the probability of a household could be identify as poor or not, through a logistic regression analysis, based on the Logit Binomial model. On the basis of this model,...

The present article aims to analyze the Cartagena de Indias poverty profile and its determinants, which have a direct impact on the probability of a household could be identify as poor or not, through a logistic regression analysis, based on the Logit Binomial model. On the basis of this model,...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

This paper focuses on the development of both failure prediction models on a paired sample and a random sample of small and medium-sized firms with head offices located in the region of Castilla y León (Spain), in order to prove if the predictive power of the developed models is affected by the...