One important problem in the marketing and user growth for businesses is to infer the marginal gains of specific campaigns or strategies, which is crucial for the decision makers to determine whether to carry on or terminate certain policies. However, in most cases the return of gaining...

We investigate various statistical methods for forecasting risky choices and identify important decision predictors. Subjects (n=44) are presented a series of 50/50 gambles that each involves a potential gain and a potential loss, and subjects can choose to either accept or reject a displayed...

Forecasts play a critical role at inflation targeting central banks, such as the Bank of England. Breaks in the forecast performance of a model can potentially incur important policy costs. Commonly used statistical procedures, however, implicitly put a lot of weight on type I errors (or false...

We conduct a lottery experiment to assess the predictive importance of simple choice process metrics (SCPMs) in forecasting risky 50/50 gambling decisions using different types of machine learning algorithms as well as traditional choice modeling approaches. The SCPMs are recorded during a fixed...

When forecasts of the future value of some variable, or the probability of some event, are used for purposes of ex ante planning or decision making, then the preferences, opportunities and constraints of the decision maker will all enter into the ex post evaluation of a forecast, and the ex post...

For a long time, migration has been subject to intensive economic research. Nevertheless, empirical evidence regarding the determinants of migration still appears to be incomplete. In this paper, we analyze the effects of socio-economic and institutional determinants, especially labor-market...

For a long time, migration has been subject to intensive economic research. Nevertheless, empirical evidence regarding the determinants of migration still appears to be incomplete. In this paper, we analyze the effects of socio-economic and institutional determinants, especially labor-market...

Few papers examine the pecuniary and non-pecuniary determinants of doctors' labour supply despite substantial predicted shortages in many OECD countries. We contribute to the literature by applying both a structural discrete choice and a reduced-form approach. Using detailed survey data for...

The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) approach without a requirement of rich expertise in financial risk....