How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of subjects' beliefs, in the form of their...

This paper develops a dynamic model of consumer search that, despite placing very little structure on the dynamic problem faced by consumers, allows us to exploit intertemporal variation in price distributions to estimate the distribution from which consumer search costs are initially drawn. We...

We propose a semi-parametric coupled component GARCH model for intraday and overnight volatility that allows the two intraday periods to have different properties. To capture the very heavy tails of overnight returns, a dynamic conditional score model with t innovations is adopted. We propose a...

The aim of this paper is to compare the forecasting financial distress models named the logistic mixed scoring and the semi parametric logistic scoring. Altman scoring variables are used to predict financial situation of Tunisian firms. First, the mixed logistic scoring is applied in order to...