Many high-tech products and durable goods exhibit exactly one significant price cut some time after their launch. We call this sudden transition from high to low prices the price landing. In this paper we present a new model that describes two important features of price landings: their timing...

Although high frequency diffusion data is nowadays available, common practice is still to only use yearly figures in order to get rid of seasonality. This paper proposes a diffusion model that captures seasonality in a way that naturally matches the overall S-shaped pattern. The model is based...

Dividing forecasts of brand sales by a forecast of category sales, when they are generated from brand specific sales-response models, renders biased forecasts of the brands' market shares. In this paper we therefore propose an easy-to-apply simulation-based method which results in unbiased...

Sales models are mainly used to analyze markets with a fairly small number of items, obtained after aggregating to the brand level. In practice one may require analyses at a more disaggregate level. For example, brand managers may be interested in a comparison across product attributes. For such...

Allocating the proper amount of shelf space to stock keeping units [SKUs] is an increasingly relevant and difficult topic for managers. Shelf space is a scarce resource and it has to be distributed across a larger and larger number of items. It is in particular important because the amount of...

__Abstract__ We test risk attitude and risk propensity of executive and non-executive directors of almost all (read: 10) companies listed at the Suriname Stock Exchange. This stock exchange associates with an emerging market, which currently seems to be at its initial stage. With a personalized...

__Abstract__ In this paper we study the determinants of skilled return migration from the Netherlands to Suriname. Based on a survey of Gibson and McKenzie (2011) we managed to interview 283 former top students from Suriname. This unique database is informative in various dimensions. High...

__Abstract__ Crucial inference for the hierarchical linear model concerns the null hypothesis of no random slope. We argue that the usually applied statistical test suffers from the so-called Davies problem, that is, a nuisance parameter is only identified under the alternative. We propose an...

In this paper we put forward a generalization of the Dynamic Conditional Correlation (DCC) Model of Engle (2002). Our model allows for asset-specific correlation sensitivities, which is useful in particular if one aims to summarize a large number of asset returns. The resultant GDCC model is...

The academic publication process consists of al least two stages. The first stage covers the conception of a paper, its submission to a journal, possible revisions due to comments made by (anonymous) reviewers, and acceptance of the manuscript, among other aspects. The second stage concerns the...