The present study examines the dynamics and regulatory regimes of commodity derivatives markets through time. The historical perspective allows to identify the reasons behind the use of derivatives and the impact of changing rules on financial systems. It further permits to highlight the...

Political economy scholarship generally assumes that governments are interested in enforcing economic regulations. Cases of non-enforcement are predominantly studied in the context of developing countries and are chiefly associated with states' deficient institutional capacity. This article...

This paper analyzes patterns in the earnings development of young labor market en- trants over their life cycle. We identify four distinctly di®erent types of transition patterns between discrete earnings states in a large administrative data set. Further, we investigate the e®ects of labor...

The inability of most bank merger studies to control for hidden bailouts may lead to biased results. In this study, we employ a unique data set of approximately 1,000 mergers to analyze the determinants of bank mergers. We use data on the regulatory intervention history to distinguish between...

This paper presents an analysis of the changing food risk perceptions of German consumers over the period 1992 to 2002. We analyse the respondents' general risk attitudes and their specific perceptions of food risks. Using cluster analysis we generate a typology of four consumer types. One group...

This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns between discrete earnings states in a large administrative data set. Further, we investigate the effects of labor...

In this work, we analyze wage careers of women in Austria. We identify groups of female employees with similar patterns in their earnings development. Covariates such as e.g. the age of entry, the number of children or maternity leave help to detect these groups. We find three different types of...

Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data-driven method allows characterizing long-term career paths of mothers over up to 19 years by transitions between parental leave, non-employment and different forms of...

Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data-driven method allows characterizing long-term career paths of mothers over up to 19 years by transitions between parental leave, non-employment and different forms of...

Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data-driven method allows characterizing long-term career paths of mothers over up to 19 years by transitions between parental leave, non-employment and different forms of...