This article aims to identify the most relevant variables that allow through a neural network model (RNA), with supervised learning, in a kind of error correction and feedforward perceptron multilayer architecture to achieve the best predictors of low risk, in the process of microcredit....

The level of default in financial institutions is a key piece of information in the activity of these organizations and reveals their level of risk. This in turn explains the growing attention given to variables of this kind, during the crisis of these last years. This paper presents a method to...

Fraudulent financial reporting is a matter of great social and economic concern. Managers may distort financial statements so as to present their companies more favorably to investors or creditors. On the other hand, auditors are the ones who are expected to identify fraudulent financial...

This paper presents a study of Artificial Neural Network (ANN) and Bayesian Network (BN) for use in stock index prediction. The data from Nigerian Stock Exchange (NSE) market are applied as a case study. Based on the rescaled range analysis, the neural network was used to capture the...

Econometric models, in the estimation of real estate prices, are a useful and realistic approach for buyers and for local and fiscal authorities. From the classical hedonic models to more data driven procedures, based on Artificial Neural Networks (ANN), many papers have appeared in economic...

In this paper we analyze empirically different specifications of a sample selection model. We are interested in how the estimates vary across alternative assumptions concerning the joint conditional distribution of the sample selection equation errors, such us the specification of error...

This paper analyzes the cost of long-term care (LTC) associated to individuals in dependence situation. The economic cost of care per unit of service is linked to the expected time of needed care and the intensity of required services. We have estimated the expected lifetime cost of LTC in...

This work analyzes the use of the train by the Galician companies when they do business transactions with northern Portuguese operators. The residual usage of this infrastructure (0.01 of all the transactions) is proved opposite the masive use of the truck; factors that explain the choice and...

This paper presents the results of a three-year evaluation performed on the first cohorts of Chile Solidario, the most important anti-poverty program in Chile. The paper presents a description of the program, emphasizing the mechanism by which people were admitted into the program. We then...

This paper evaluates the effect of an anti-poverty program, Chile Solidario, during its first two years of operation. We find that the program tends to increases significantly their take-up of cash assistance programs and of social programs for housing and employment, and to improve education...