increases in risk taking. Where we can separately identify changes in risk-independent performance and risk taking, our … increases in risk taking. These effects are concentrated among those closest to the margin of elimination and among lower …

markers for high-risk Internet gambling using a new casino data set of active real money Internet gamblers. We assess the … implemented. Further research leading to the identification of risk factors for problem gambling using new methodologies and data …

models is presented. Next, is a discussion of risk factors: credit cards; U.S. state money transmission laws; online and … fees and management time devoted to the discovery, examination and documentation of the perceived enterprise risk …-million-dollar research, investment and documentation of perceived e-commerce, cyber, IT, and electronic payment system risk. Hopefully, this …

useful for out-of-sample prediction. Nor do we find practical applications of Bernoulli functions in major risk …

useful for out-of-sample prediction. Nor do we find practical applications of Bernoulli functions in major risk … potentially observable opportunities rather than on unobservable Bernoulli functions. -- expected utility ; risk aversion ; St …

in the tourism sector and to identify the business risk assessment models. Scientists pay big attention to risk analysis …. A series of risk analysis theoretical, methodological and practical studies are made, but for the tourism risk … scientistseconomists do not pay attention in practice. Tourism risk assessment models, analyzed in the article, showed their adaptability …

perceptions of risk. The authors study how 310 respondents accumulated mental representations about Colombia as a tourism … destination. Their results show that destination image and perceived risk are two distinct variables used in the decision … perceived risk …