To build adequate predictive models, a substantial amount of data is desirable. However, when expanding to new or unexplored territories, this required level of information is rarely always available. To build such models, actuaries often have to: procure data from local providers, use limited...

Zusammenfassung Der Beitrag schildert die Effekte partieller Antwortverweigerung auf die Ergebnisse multivariater statistischer Analysen anhand von Produktivitätsschätzungen auf Betriebsdatenebene. Als Datenbasis dient das IAB-Betriebspanel aus dem Jahr 2000, wobei fehlende Daten mit Hilfe des...

This paper provides a structural empirical analysis of Dutch auctions of houseplants at the flower auction in Aalsmeer, the Netherlands. The data set is unique for Dutch auctions in the sense that it includes observations of all losing bids in an interval adjacent to the winning bid. The size of...

Abstract Informal care provided to the elderly by their children is proposed as a less expensive alternative to institutional long-term care. This paper explores how the elderly's consumption of medical care changes in response to changes in the informal care they receive from their children....

An important feature of agribusiness promotion programs is their lagged impact on consumption. Efficient investment in advertising requires reliable estimates of these lagged responses and it is desirable from both applied and theoretical standpoints to have a flexible method for estimating...

Zusammenfassung Gerade bei Umfragen mit sog. sensitiven Variablen, wie etwa dem Einkommen, ist bekannt, daß z. B. die Bezieher sehr hoher Einkommen eher zur Verweigerung der Beantwortung von Einkommensfragen neigen als andere. Einfaches Vernachlässigen der unvollständigen Datensätze für die...

In this paper we present a Gibbs sampler for a Poisson model including spatial effects. Frühwirth-Schnatter and Wagner (2004b) show that by data augmentation via the introduction of two sequences of latent variables a Poisson regression model can be transformed into a normal linear model. We...

In this paper we present and evaluate a Gibbs sampler for a Poisson regression model including spatial effects. The approach is based on Frühwirth-Schnatter and Wagner (2004b) who show that by data augmentation using the introduction of two sequences of latent variables a Poisson regression...

W e develop a structural demand model that endogenously captures the effect of out-of-stocks on customer choice by simulating a time-varying set of available alternatives. Our estimation method uses store-level data on sales and partial information on product availability. Our model allows for...

Two econometric issues arise in the estimation of complete systems of producer or consumer demands when many non-negativity constraints are binding for a large share of observations, as frequently occurs with micro-level data. The first is computational. The econometric model is essentially an...