Is the Market Classification of Risk Always Efficient? - Evidence from German Third Party Motor Insurance

This paper studies the empirical effects of risk classification in the mandatory third-party motor insurance of Germany following the European Union’s directive to de-regulate insurance tariffs of 1994. We find evidence that inefficient risk categories had been selected while potentially efficient information was dismissed. Risk classification did generally not improve the efficiency of contracting or the composition of insureds in this market. These findings are partly explained by the continuing existence of institutional restraints in this market such as compulsory fixed coverage and unitary owner insurance.

Youth Work and Schools in ‘Full-day’ education systems: International Comparison of Links between Formal and Non-formal Education

In this article I will outline the methodological approach of a non-empirical comparative research project which I began in 2003. The project is situated in the context of the research training group “Youth Welfare in Transition” at the universities of Bielefeld and Dortmund, funded by the German Research Council (Deutsche Forschungsgemeinschaft). In that context I have organised an international conference about the modes of cooperation between school and youth work agencies with colleagues from Canada, France, Finland, Italy, Japan, the Netherlands, Russia, Switzerland, the United Kingdom, the United States, Israel, and Germany. Meeting in Bielefeld from the 9th to the 11th of October 2003, we compared the respective national arrangements of formal and non-formal education (www.uni-bielefeld.de/paedagogik/agn/ag8/Ganztagsbildung.html). This note is based on the scheme of comparison which was given to the contributors in order to help them preparing their presentations. At the moment the scheme is nearing completed with significant data prepared by the contributors/authors (see Otto/Coelen 2004), supplemented with data from research works published in German and English. The next step will be to set up an empirical project about the relationships between schools and youth work agencies in three European countries (probably France, Finland and the Netherlands).

Content Classification of Multimedia Documents using Partitions of Low-Level Features

Audio-visual documents obtained from German TV news are classified according to the IPTC topic categorization scheme. To this end usual text classification techniques are adapted to speech, video, and non-speech audio. For each of the three modalities word analogues are generated: sequences of syllables for speech, “video words” based on low level color features (color moments, color correlogram and color wavelet), and “audio words” based on low-level spectral features (spectral envelope and spectral flatness) for non-speech audio. Such audio and video words provide a means to represent the different modalities in a uniform way. The frequencies of the word analogues represent audio-visual documents: the standard bag-of-words approach. Support vector machines are used for supervised classification in a 1 vs. n setting. Classification based on speech outperforms all other single modalities. Combining speech with non-speech audio improves classification. Classification is further improved by supplementing speech and non-speech audio with video words. Optimal F-scores range between 62% and 94% corresponding to 50% - 84% above chance. The optimal combination of modalities depends on the category to be recognized. The construction of audio and video words from low-level features provide a good basis for the integration of speech, non-speech audio and video.