Mapping giant honey bee nests in Palawan,Philippines through a transdisciplinary approach

This article reports on a study that uses participatory mapping with indigenous Tagbanua honey hunters and gatherers to understand the spatial distribution of giant honey bees in a community forest in Palawan, Philippines. Through the use of global positioning system devices, digital cameras, and a solar home system as an electricity source, local collaborators mapped 31 bee nests from April to June 2015. This study provides a replicable long-term participatory methodology and promotes participatory learning and mutual knowledge creation. By combining applied sustainability research with local stakeholder participation, the article suggests that novel knowledge and solutions can aid sustainable rural development.     

Flexibility and uncertainty in the housing market

This paper provides one reason why the level of trading in the housing market is volatile. We show that when uncertainty is high and can be expected to be resolved in the near future, both buyers and sellers have an incentive to postpone trading until uncertainty has been resolved. In the model, agents trade in the housing market either now, when there is uncertainty concerning the future tax rule for house owners, or later, when this uncertainty has been resolved. Under the assumption of risk neutrality (and high transaction costs), we show that any rational expectations equilibrium involves all trading being postponed. When agents are risk averse, this result holds less generally; we show that it does hold when changes in the tax rule are expected not to affect the future price of houses too strongly.     

Explaining Citizen Support for Trade Liberalization

This paper examines individual attitudes in six industrialized democracies to determine what factors condition citizens' support for trade liberalization. We argue that public support for trade liberalization is influenced by politically driven views and individual economic utilitarian considerations. To test our propositions, we develop and estimate a series of logistic regression models of public support for trade liberalization. That data are derived from The World Values Surveys (1995–1997). We find strong empirical support for the economic utilitarian factors—primarily education, but also gender and income—as the principal factors shaping individual attitudes toward trade liberalization. Conversely, while some empirical support is found for political factors such as one's geographic orientation and level of cognitive mobilization, we find that the political predictors of support are weaker overall than the economic interest predictors.     

Wechselnde Ansichten zu Wechselkursen: Über die Bedeutung der Verknüpfung politischer Lernprozesse und ökonomischer Mechanismen in der Geschichte der europäischen Währungskooperation

Ohne Zusammenfassung Rezension zu Kathleen R. McNamara: The Currency of Ideas: Monetary politics in the European Union. Ithaca, NY [u.a.]: Cornell University Press 1998     

Excretion of Delta9-tetrahydrocannabinol in sweat

The aims of this study were: first, to determine the accuracy of the Cameriere method for assessing chronological age in children based on the relationship between age and measurement of open apices in teeth and, second, to compare the accuracy of this method with the widely used Demirjian et al. method and with the method proposed by Willems et al. Orthopantomographs taken from white Italian, Spain and Croatian children (401 girls, 355 boys) aged between 5 and 15 years were analysed following the Cameriere, Demirjian and Willems methods. The difference between chronological and dental age was calculated for each individual and each method (residual). The accuracy of each method was assessed using the mean of the absolute values of the residuals (mean prediction error). Results showed that the Cameriere method slightly underestimated the real age of children. The median of the residuals was 0.081 years (interquartile range, IQR=0.668 years) for girls and 0.036 years for boys (interquartile range, IQR=0.732 years). The Willems method showed an overestimation of the real age of boys, with a median residual error of -0.247 years and an underestimation of the real age of girls (median residual error=0.073 years). Lastly, the Demirjian method overestimated the real age of both boys and girls, with a median residual error of -0.750 years for girls and -0.611 years for boys. The Cameriere method yielded a mean prediction error of 0.407 years for girls and 0.380 years for boys. Although the accuracy of this method was better for boys than for girls, the difference between the two mean prediction errors was not statistically significant (p=0.19). The Demirjian method was found to overestimate age for both boys and girls but the mean prediction error for girls was significantly greater than that for boys (p=0.024), and was significantly less accurate than the Cameriere method (p<0.001). The Willems method was better than that of Demirjian (p=0.0032), but was significantly less accurate than that of Cameriere (p<0.001).