Banks are concerned with the assessment of the risk of financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is to explore a new practical way based on...

Why do some economies grow faster than others? Do economies in the middle-income range face especially difficult challenges producing consistent growth? Using a transition matrix analysis on decade-level growth rates, we find that the data clearly reject the idea that middle-income economies...

The paper argues that when developing an explanatory model of the early-stage entrepreneurial activity level (measured by total index of early entrepreneurial activity - TEA) one should consider the "path dependency" of the "institutional matrix" of different societies. Otherwise one could...

The credit business is an essential part of each banks' activities. With regard to the increasing regulatory obligations, the risk management and the associated minimum capital requirements gain in importance. Banks have got the possibility to determine their credit risk by an internal rating...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

Das Auslaufen der EU-Milchgarantiemengenregelung (im Folgenden: Milchquotenregelung) im Jahr 2015 erfordert von den Milcherzeugern Anpassungsmaßnahmen. Vermutlich werden diese Anpassungsmaßnahmen zu strukturellen Veränderungen sowohl auf regionaler als auch auf betrieblicher Ebene führen. Im...

We analyze four methods to measure unexplained gaps in mean outcomes: three decompositions based on the seminal work of Oaxaca (1973) and Blinder (1973) and an approach involving a seemingly naive regression that includes a group indicator variable. Our analysis yields two principal findings. We...

We analyze four methods to measure unexplained gaps in mean outcomes: three decompositions based on the seminal work of Oaxaca (1973) and Blinder (1973) and an approach involving a seemingly naive regression that includes a group indicator variable. Our analysis yields two principal findings. We...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

Most studies about the shadow economy focus on the estimation of the aggregate size. However, this study aims to address the sectoral or micro aspects of this phenomenon using the data from the textile sector in Turkey. It uses discriminant analysis and ordered and logistic regression models to...