Consequences of southward enlargement for EC-Latin American relations

Over the past two decades Latin America, due to both political and economic considerations, has been endeavouring to establish intensive cooperative relations with the European Community. For a variety of reasons this objective has so far only been achieved in part. The Falklands/Malvinas conflict subjected these relations to a serious strain, the results of which cannot as yet be estimated. Another factor, in the longer term, is the European Community's southward enlargement. Latin American assessments of the effects of this diverge: a fear of serious disadvantages to trade on the one hand is matched on the other by the hope that Spain and Portugal will become champions of Latin American interests in the European Community.     

The time-varying integration of euro area government bond markets

We derive a model in which a standard international capital asset pricing model (ICAPM) for government bonds is nested within an ICAPM with impediments to invest in the local government bond markets. Excess returns or risk premiums are then driven by a country-specific or idiosyncratic stochastic factor on top of the common factor which has a time-varying idiosyncratic impact on the premiums. With this model we investigate the financial integration of government bond markets over time through two channels. First, we allow for gradual convergence from the full ICAPM with impediments to the standard model through the vanishing of the idiosyncratic factors. Second, we allow for gradual equalization of the country-specific impacts of the common factor. State space methods are used to estimate the model with weekly government bond risk premiums for Belgium, France, Italy, Germany, and the Netherlands over the period 1995–2009. Our results suggest, first, that the idiosyncratic factors were almost eliminated by 2006 in all countries but Italy but then reappeared due to the financial crisis that started in 2007. Second, the country-specific exposures to the common international risk factor have converged across countries, with no setback during the crisis.     

An EC-framework for scientific research and technological innovation

Science and technology have come under the fire of critics over the last ten years or so, but the present situation of mankind will call for more, and not less, human ingenuity. A particular problem for Europe to master is the need to improve the channels for translating scientific achievements into competitive engineering and technology. It is a problem which can best be solved within a coherent policy framework, designed and implemented at Community level.     

A Comparison of State-of-the-Art Classification Techniques for Expert Automobile Insurance Claim Fraud Detection

Several state‐of‐the‐art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection. The predictive power of logistic regression, C4.5 decision tree, k‐nearest neighbor, Bayesian learning multilayer perceptron neural network, least‐squares support vector machine, naive Bayes, and tree‐augmented naive Bayes classification is contrasted. For most of these algorithm types, we report on several operationalizations using alternative hyperparameter or design choices. We compare these in terms of mean percentage correctly classified (PCC) and mean area under the receiver operating characteristic (AUROC) curve using a stratified, blocked, ten‐fold cross‐validation experiment. We also contrast algorithm type performance visually by means of the convex hull of the receiver operating characteristic (ROC) curves associated with the alternative operationalizations per algorithm type. The study is based on a data set of 1,399 personal injury protection claims from 1993 accidents collected by the Automobile Insurers Bureau of Massachusetts. To stay as close to real‐life operating conditions as possible, we consider only predictors that are known relatively early in the life of a claim. Furthermore, based on the qualification of each available claim by both a verbal expert assessment of suspicion of fraud and a ten‐point‐scale expert suspicion score, we can compare classification for different target/class encoding schemes. Finally, we also investigate the added value of systematically collecting nonflag predictors for suspicion of fraud modeling purposes. From the observed results, we may state that: (1) independent of the target encoding scheme and the algorithm type, the inclusion of nonflag predictors allows us to significantly boost predictive performance; (2) for all the evaluated scenarios, the performance difference in terms of mean PCC and mean AUROC between many algorithm type operationalizations turns out to be rather small; visual comparison of the algorithm type ROC curve convex hulls also shows limited difference in performance over the range of operating conditions; (3) relatively simple and efficient techniques such as linear logistic regression and linear kernel least‐squares support vector machine classification show excellent overall predictive capabilities, and (smoothed) naive Bayes also performs well; and (4) the C4.5 decision tree operationalization results are rather disappointing; none of the tree operationalizations are capable of attaining mean AUROC performance in line with the best. Visual inspection of the evaluated scenarios reveals that the C4.5 algorithm type ROC curve convex hull is often dominated in large part by most of the other algorithm type hulls.     

The fourth première of the Human Development Index

The United Nations Development Program has published its Human Development Index values for most countries of the world for the past five years. It claims the index provides information that goes beyond the widely-used GDP data and is relevant for policy-making. Critical examination shows that the index does not yet live up to this claim.     

Evolution on the Shoulders of Giants: Entrepreneurship and Firm Survival in the German Laser Industry

This paper studies 40 years of evolution in the German laser industry, which developed in the context of strong foreign competition. Key characteristics found in the U.S. laser industry are also present in Germany. There is sustained entry into the industry, and neither a shakeout nor first-mover advantages of early entrants are observed. Similar to the U.S. industry, spin-offs from existing laser firms have been more long-lived than have been academic startups. An analysis of the spin-off process indicates the importance of specific capabilities acquired at the parent firm.      

Optimal monetary policy under low trend inflation

In the monetary policy literature it is common to assume that trend inflation is zero, despite overwhelming evidence that zero inflation is neither empirically relevant nor a practical objective for central bank policy. We therefore extend the standard New Keynesian model to allow for positive trend inflation, showing that even low trend inflation has strong effects on optimal monetary policy and the dynamics of inflation, output and interest rates. Under discretion, the efficient policy deteriorates and there is no guarantee of determinacy. Even with commitment, targeting non-zero trend inflation leads to substantial welfare losses. Our results serve as a warning against indiscriminate use of models assuming zero trend inflation.