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In this paper we use structured population models to study the evolution of the abundance of a deep-sea shark stock of the Spiny dog fish species, Squalus acanthias. We only consider the female population divided into three length classes based on the characteristics of the species' development....
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This paper explores the potential of an approach suggested by Manski of obtaining nonparametric bounds for treatment effects in evaluation studies without knowledge of the participation process. The practical concern is the effects of continuous vocational training in East Germany. The empirical...
Persistent link: https://www.econbiz.de/10010299677
This study compares the performance of Prospect Theory versus Stochastic Expected Utility Theory at fitting data on decision making under risk. Both theories incorporate well-known deviations from Expected Utility Maximization such as the Allais paradox or the fourfold pattern of risk attitudes....
Persistent link: https://www.econbiz.de/10010315494
This study compares the performance of Prospect Theory versus Stochastic Expected Utility Theory at fitting data on decision making under risk. Both theories incorporate well-known deviations from Expected Utility Maximization such as the Allais paradox or the fourfold pattern of risk attitudes....
Persistent link: https://www.econbiz.de/10003894019
This paper addresses whether and to what extent econometric methods used in experimental studies can be adapted and applied to financial data to detect the best-fitting preference model. To address the research question, we implement a frequently used nonlinear probit model in the style of Hey...
Persistent link: https://www.econbiz.de/10011539677
This paper applies the multi-scale beta estimation approach based on wavelet analysis to all stocks comprising BSE-Sensex. Betas are calculated based on the wavelet decomposition from the Maximal overlap discrete wavelet transform (DWT). It is shown that the multi-scale beta estimation approach...
Persistent link: https://www.econbiz.de/10013103832