The paper empirically studies whether pharmaceutical firms use advertising as a signal for high quality drugs. A multiple random effects count data hurdle model is specified and a simulated maximum likelihood estimation approach is developed and utilized in the empirical analysis.

Purpose The purpose of this paper is to measure individual investors’ expectations of risk and return and to evaluate different expectation measures. Design/methodology/approach The authors measure individual investors’ expectations of risk and return regarding an index fund and two stocks...

Households' choice of the number of leisure trips and the total number of overnight stays is empirically studied using Swedish tourism data. A bivariate hurdle approach separating the participation (to travel and stay the night or not) from the quantity (the number of trips and nights) decision...

In this paper, we examine if corporate insiders have other motives for trading besides exploitation of private information. Our results show that insiders' portfolio re-balancing objectives, tax considerations and behavioral biases play the most important role in their trading decisions. We also...

The paper empirically explores the possible causes behind electricity price jumps in the Nordic electricity market, Nord Pool. A time-series model (a mixed GARCH–EARJI jump model) capturing the common statistical features of electricity prices is used to identify price jumps. By the model, a...

The creation of a common cross-border stock trading platform is found, by use of a Flexible Dynamic Component Correlations (FDCC) model, to have increased long-run trends in conditional correlations between foreign and domestic stock market returns.

In this paper we present a non-linear demand system for households’ joint choice of number of trips and days to spend at a destination. The approach, which facilitates welfare analysis of exogenous policy and price changes, is used empirically to study the effects of an increased CO2 tax. In...

In this paper a count data regression model accounting for endogenous censoring with household specific censoring thresholds is presented. The presented modelling approach is utilized in an analysis of household choice of total number of nights to spend on monthly recreational trips. The...