This paper addresses a fundamental, yet unresolved, question: is statistical discrimination a market failure? I consider the problem for a utilitarian social planner who operates in an environment with imperfectly observable human capital investments. It is found that the informational problem...

When comparing methods for classification, often the rating relies on their prediction accuracy alone. One reason for this is that this is the aspect that can be most easily measured. Yet, often one wants to learn more about the problem than only how to predict. The interpretation of the...

In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to compute the overlap in data sets which are commonly...

In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to compute the overlap in data sets which are commonly...

We propose a computer intensive method for linear dimension reduction which minimizes the classification error directly. Simulated annealing (Bohachevsky et al 1986) as a modern optimization technique is used to solve this problem effectively. This approach easily allows to incorporate user...

Wie schon vor einem Jahr wurde die aktuelle Konjunkturprognose (Anfang 1999) in das RWI Klassifikationsschema eingeordnet. Danach liegt die wirtschaftliche Entwicklung des Zeitraums 1998-3 bis 2000-4 im Grenzbereich zwischen Aufschwung und oberem Wendepunkt. Vor einem Jahr war die damalige...

In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to compute the overlap in data sets which are commonly...