A quantitative and qualitative analysis of sexual harassment claims 1995–2005

This article explores the organisational and legal context in which parties involved in claims relating to sexual harassment operate, and presents an analysis of the population of sexual harassment cases heard by Employment Tribunals between 1995 and 2005.     

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.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

How Should the Allocation of Resources Adjust to the Baby Bust?

We analyze the impact of a drop in fertility on the optimal allocation of resources in an overlapping generations economy where old workers care about leisure. We also characterize optimal dynamics and study the decentralization of the optimum by means of inter‐generational transfers and/or public debt. We conclude that the policy recommendations of postponing retirement is fragile and depend on preferences and technologies. Also, even when the optimal adjustment of public debt goes into the expected direction in the long run—i.e., public debt should decrease—this may not be the case during the transition.     

Pig pandemic: Industrial hog farming in eastern Mexico

Industrial hog farming is an increasingly important land use in Mexico. Despite the known public health and environmental risks associated with this factory-style model of production, hog concentrated animal feeding operations (CAFOs) remain unregulated. Legal standards regarding the establishment and operation of swine CAFOs are lacking at municipal, regional, and federal levels. There are currently no restrictions on the size, concentration, or geographic location of operations, and public notice to surrounding and downstream communities is generally not required. These lax environmental standards facilitate swine CAFO expansion in regions such as the Perote Valley, with potential for negative long-term impacts on public health, community well-being, water resources, ecosystems, and climate.     

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     

Innovation forecast: Un-avoidable and context dependent

In order to mobilize the necessary resources for innovation forecasts are unavoidable. However, a forecast is never a neutral or objective assessment. Given an interdependent business landscape, there are at least two major context-related aspects that affect an innovation forecast. First, the actor that makes the forecast is embedded into a specific context. Secondly, the potential innovation stems from a specific environment, and will during the innovation journey be related to other environments in a producing and a using setting, and thus to other investments in place. In this paper we examine the development of one innovation and the forecasts made by three different economic actors. There is an interesting variation in the forecasts that can be explained as a variation of contexts of the actors. The contexts influence the way that the forecasts are done and especially in terms of what the context of the innovation is assumed to be. The empirical findings suggest that the results of the innovation forecast are highly dependent on the actors' abstraction of the business landscape which in turn is affected by the contexts of the actors.