Empirische Analyse des Einflusses der Überschussbeteiligung auf Neugeschäft und Storno

Recently, German insurers are becoming increasingly interested in assessing and modelling risks related to new business and lapses. The final report of a DAV (German actuarial association) working party on stochastic models for German life insurance companies, released end of 2005, includes some basic approaches for this purpose. However, so far no systematic empirical research has been carried out which provides evidence for an appropriate calibration of such models. This article contributes to closing the gap. It presents the main results of an empirical analysis on the influence of policyholders’ profit participation on new business and lapses based on data about 87 German life insurance companies from 1995—2004. Analyses of regression and correlation were performed for various definitions of the explanatory variable ?profit participation“ (more precisely: the spread to some average value) and with diverse reference parameters for new business and lapses, also considering different types of life insurance. Ultimately, the exploration scarcely yielded evidence for a significant general correlation between policyholders’ profit participation and new business or lapses. However, because of the individuality of life insurance business such an evaluation of historical data can certainly only be regarded as a building block for the overall picture, as is also explained in the paper in some more detail.     

Benchmarking in the Dutch Waste-Water Treatment Sector

The Dutch water boards have recently completed a performance measurement and evaluation project for waste-water treatment. This project was intended to strengthen the boards' accountability to their stakeholders and to identify starting points for performance improvement. The Balanced Scorecard was used as a framework to develop a broad set of performance indicators. This article describes the benchmarking project and how the Dutch water boards intend to use the results to improve performance. Finally, the Dutch project is compared with the UK's Best Value project.     

Effects of extent and diversity of alliancing on innovation: the moderating role of firm newness

The purpose of this paper is to show the varying effects of alliance portfolio size and heterogeneity on innovation in biotechnology firms. Previous literature has indicated that the number and heterogeneity of partners in an alliance portfolio might have positive effects on innovativeness. Yet, engaging in multiple and heterogeneous collaborations also raises managerial costs and complexity levels disproportionally, potentially causing detrimental performance effects. Analysis of a unique panel dataset suggests that engaging in many alliances generally has a positive influence on a firm’s innovation output. Furthermore, maintaining diverse alliance portfolios and a high extent of alliancing jointly affects a firm’s innovation output ?negatively. By additionally showing that younger firms benefit disproportionally from both alliance portfolio diversity and size, this study provides a more nuanced view of alliancing effects.     

New technologies and industrialization prospects of developing countries

Industrial technologies are both an outcome of the industrialization process and one of its main driving forces. The introduction of new technologies can be seen as one of several important factors which directly and indirectly change the context and modes of international industrial production, thus being among the key determinants of the international division of labour. Given the accelerating pace of technological development in industry, there is an urgent need not only to identify incipient technological breakthroughs but above all, at an early stage, to analyze their short-and long-term implications for the worldwide industrialization process and to reassess the validity of crucial assumptions underlying developing countries’ current industrial strategies. The views expressed in this article are those of the author and do not necessarily reflect the views of the UNIDO Secretariat.     

‘DUAL’ GRAVITY: USING SPATIAL ECONOMETRICS TO CONTROL FOR MULTILATERAL RESISTANCE

We derive a quantity‐based structural gravity equation system in which both trade flows and error terms are cross‐sectionally correlated. This system can be estimated using techniques borrowed from the spatial econometrics literature. To illustrate our methodology, we apply it to a well‐known Canada–US trade dataset. We find that border effects between the USA and Canada are smaller than suggested by previous studies: about 7.5 for Canadian provinces and about 1.3 for US states. Hence controlling directly for cross‐sectional interdependence among both trade flows and error terms reduces measured border effects by capturing ‘multilateral resistance’. Copyright © 2010 John Wiley & Sons, Ltd.     

Estimating dynamic response models when the data are subject to different temporal aggregation

In estimating response models using secondary data, it can happen that the observations on the variables are subject to different temporal aggregation. Estimating a dynamic model with this type of data is not straightforward, particularly when (a) estimates with good statistical properties are desired, and (b) full use of all information in the data is needed. This paper provides an overview and discussion of the various approaches to the estimation problem when independent variables are observed less frequently than the dependent variable. The superiority of one-step estimation procedures that simultaneously estimate the parameters and the missing disaggregated data points is established.Insead