Food Scares and Trust: A European Study

The complex interactions between the determinants of food purchase under risk are explored using the SPARTA model, based on the theory of planned behaviour, and estimated through a combination of multivariate statistical techniques. The application investigates chicken consumption choices in two scenarios: (a) a ‘standard’ purchasing situation; and (b) following a hypothetical Salmonella scare. The data are from a nationally representative survey of 2,725 respondents from five European countries: France, Germany, Italy, the Netherlands and the United Kingdom. Results show that the effects and interactions of behavioural determinants vary significantly within Europe. Only in the case of a food scare do risk perceptions and trust come into play. The policy priority should be on building and maintaining trust in food and health authorities and research institutions, while food chain actors could mitigate the consequences of a food scare through public trust. No relationship is found between socio‐demographic variables and consumer trust in food safety information.     

Individual and place-based drivers of self-employment in Chile

This paper analyzes the importance of individual and place characteristics on the selection into self-employment in Chile. Following a structural and multilevel empirical approach, we test whether both sets of variables explain the variation of individual wages, self-employed earnings, and the propensity of being in independent work. The results indicate that while most of the variation in these three outcomes is explained by individuals’ traits, place-related variables account for a non-negligible share of spatial variation. Second, as suggested by occupational choice theories, the propensity of being in self-employment positively correlates with larger expected earning differentials, but only in the case of employers. This, along with other results, suggests that while employers seem to choose their occupational status, own accounts in Chile seem to respond to factors pushing them into self-employment.     

Enterprise Mashup Systems as Platform for Situational Applications

Currently, several Enterprise 2.0 platforms are beginning to emerge. This paper introduces Enterprise Mashup technology as a means to improve IT alignment of individual work processes and changing business needs. Enterprise Mashups enable users to create customized applications to easily find and transform business information and functionalities, as well as collaboratively share pre-built Mashup applications. Therefore, the concept of Enterprise Mashups integrates Web 2.0 technologies and principles with well-established paradigms such as Enterprise Information Integration, Business Intelligence, and Business Process Management. Involved organizational key drivers, technical challenges and inhibitors are discussed to assess the potential business value and explain the emerging expansion of Mashup platforms in companies.     

Differential Migration Prospects,Skill Formation,and Welfare

This paper develops a one sector, two‐input model with endogenous human capital formation. The two inputs are two types of skilled labor: “engineering,” which exerts a positive externality on total factor productivity, and “law,” which does not. The paper shows that a marginal prospect of migration by engineers increases human capital accumulation of both types of workers (engineers and lawyers), and also the number of engineers who remain in the country. These two effects are socially desirable, since they move the economy from the (inefficient) free‐market equilibrium towards the social optimum. The paper also shows that if the externality effect of engineering is sufficiently powerful, everyone will be better off as a consequence of the said prospect of migration, including the engineers who lose the migration “lottery,” and even the individuals who practice law.     

Fractional Integration of Nominal Exchange Rates: Evidence from CEECs in the Light of EMU Enlargement

This paper uses fractional integration models to describe the long‐run dependence of nominal exchange rates in Central and Eastern European countries (CEECs). The analysis is validated using nonparametric, semiparametric and parametric techniques. From comparing the results across the three approaches, it was clear that mean reversion takes places only for the euro exchange rates in Bulgaria, Estonia, and Slovenia. Other exchange rates based on the euro also display mean reversion with the parametric methods. For the US dollar rates, the unit‐root null hypothesis cannot be rejected in any single country, indicating that shocks affecting the exchange rates against the US dollar are of a permanent nature, while those directed against the euro are less persistent, and tend sometimes to disappear in the long run. Policy implications are derived.     

The rest of me

iPhone Siri demonstratively introduced natural language processing. Still a gadget, the idea revived one of the old promises of computers as personal assistants. Does it have the potential of fulfilling the already burgeoning imagination related to this promise? The authors believe that, while still dependent on the evolution of artificial intelligence, the virtual assistant may find support in the already maturing technologies of augmented reality and, more important, in the changing global network with the semantic web, Internet of things and geo-location. Bluntly speaking, its feasibility and acceptability may not even have to wait for the promised IBM computer with human brain capabilities, but rather build on a more friendly interaction with the Google search engine.The article provides a narrative scenario of the deep economic and social transformations and even turbulence that the so called imaginary friend may produce. Not discarding, but creatively integrating some of the archetypes of futuristic literature, the story positions these entities as the foreground of a deep integration of networks, with the added turmoil caused by economic interests that go beyond individuals’ sense-making capacity.This article is one of the follow-ups of the international foresight workshop “Crazy futures” coordinated by Ziauddin Sardar and George Cairns in a small resort on the Danube Delta in July 2011, a workshop organised as part of the project Quality and Leadership for Romanian Higher Education.     

Monetary business cycle accounting

This paper investigates the quantitative importance of various types of distortions for inflation and nominal interest rate dynamics by extending business cycle accounting to monetary models. Representing various classes of real and nominal distortions as ‘wedges’ in standard equilibrium conditions allows a quantitative assessment of those distortions. Decomposing the data into movements due to these wedges shows that distortions generating movements in TFP and wedges in equilibrium conditions for asset markets are essential. In contrast, wedges capturing the effects of sticky prices play less important role. These results are robust to alternative implementations of the accounting method.     

The early news catches the attention: On the relative price impact of similar economic indicators

This study investigates why financial markets react to the release of some economic indicators while ignoring others with similar informational content. Based on a Bayesian learning model, we show that the market impact of an economic indicator depends crucially on its early availability. The sequential introduction of the two largest German business surveys provides a natural experiment by which the model's implications are tested empirically. We show that even a large and well‐established indicator loses market impact if a similar indicator is launched and released earlier. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:909–937, 2010