Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A recent paper by Maccheroni et al. (2004) characterizes investor preferences under aversion against both risk and ambiguity. Their result shows that these preferences can be numerically represented in...

We analyze the two goals behind the European Bologna Process of increasing student mobility: enabling graduates to develop multi-cultural skills and increasing the quality of universities. We isolate three effects: 1) a competition effect that raises quality; 2) a free rider effect that lowers...

In an information cascade experiment participants are confronted with artificial predecessors predicting in line with the BHW model (Bikchandani et al. 1992). Using the BDM (Becker et al., 1964) mechanism we study participants' probability perceptions based on maximum prices for participating in...

Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, to date applications of ICLV models in marketing are still rare. The...

According to housing investment models, house prices and replacement cost should have an equilibrating relationship. Previous empirical work - mainly based on aggregate-level data - has found only little evidence of such a relationship. By using a unique data set, covering transactions of...

This paper studies how national sentiment in the form of either a perception or a loyalty bias of bettors may affect pricing patterns on national wagering markets for international sport events. We show theoretically that both biases can be profitably exploited by bookmakers by way of price...

We develop a dynamic model of political competition. Each party has a policymotivated ideological wing and an office-motivated opportunistic wing. A blockade arises if inner-party conflict stops policy implementation. We use this model to study whether early elections should be used to overcome...

The problem of pricing Bermudan options using Monte Carlo and a nonparametric regression is considered. We derive optimal nonasymptotic bounds for a lower biased estimate based on the suboptimal stopping rule constructed using some estimates of continuation values. These estimates may be of...