Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood. In this simulation study, we have examined a frequently used research procedure comprising three main...

While a number of algorithms for multiobjective reinforcement learning have been proposed, and a small number of applications developed, there has been very little rigorous empirical evaluation of the performance and limitations of these algorithms. This paper proposes standard methods for such...

This study contributes to the understanding of behavioural responses to climate change induced extreme weatherevents. It suggest a microeconometric method for measuring flooding related risk preferences of affectedindividuals. The method is outlined using the empirical case of agricultural...

Multiple natural experiments of large jackpot lotteries in Taiwan are used to document a substitution effect between individual investor trading and lottery buying. We establish five key findings. First, when the jackpot exceeds 500 million Taiwan dollars (about 15 million U.S. dollars), the...

Business ventures are started by individuals and teams with very different backgrounds and motivations, pursuing business ideas of very variable inherent quality in environments that also show tremendous variability. As a result it is difficult to arrive at broadly valid generalizations, and...

The Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE) is a research programme that aims to uncover the factors that initiate, hinder and facilitate the process of emergence of new economic activities and organizations. It is widely acknowledged that entrepreneurship is one of...

This article highlights issues and presents strategies for conducting intervention research in highly unstable environments such as schools, critical care units, and long-term care facilities. The authors draw on their own experiences to discuss the challenges that may be encountered in highly...

This article highlights issues and presents strategies for conducting intervention research in highly unstable environments such as schools, critical care units, and long-term care facilities. The authors draw on their own experiences to discuss the challenges that may be encountered in highly...

Consider a set of baseline predictors X to predict a binary outcome D and let Y be a novel marker or predictor. This paper is concerned with evaluating the performance of the augmented risk model P(D = 1|Y,X) compared with the baseline model P(D = 1|X). The diagnostic likelihood ratio, DLRX(y),...