Goodness-of-fit tests for Poisson count time series based on the Stein–Chen identity

To test the null hypothesis of a Poisson marginal distribution, test statistics based on the Stein–Chen identity are proposed. For a wide class of Poisson count time series, the asymptotic distribution of different types of Stein–Chen statistics is derived, also if multiple statistics are jointly applied. The performance of the tests is analyzed with simulations, as well as the question which Stein–Chen functions should be used for which alternative. Illustrative data examples are presented, and possible extensions of the novel Stein–Chen approach are discussed as well.     

Patent-based investment funds as innovation intermediaries for SMEs: In-depth analysis of reciprocal interactions,motives and fallacies

SMEs and academic spin-offs play an important role in generating innovations but face resource and competency constraints that have implications for commercializing their technologies. In two in-depth case studies we analyze how patent-based investment funds (PBIFs), operating as innovation intermediaries, help overcome these constraints. In contrast to other patent intermediaries, PBIFs acquire patents and patentable inventions at an early stage of technology development when access to capital is particularly critical. They invest in the technological and legal advancement of their portfolio, which is mostly conducted in close interaction with the technology-providing SMEs and their original inventors. These PBIFs not only provide high added-value in the course of technology commercialization but also operate international networks to facilitate the commercialization of SMEs' technologies at an international scale. Although PBIFs are a promising new agent in the heterogeneous field of innovation intermediaries, their commercialization results and the actual rate of returns are not yet well established.     

The effects of unions and strikes on the rate of growth of total factor productivity in Canada

In this paper, the performance of the New Keynesian IS curve for the G7 countries is assessed. It is found that there is an IS puzzle for both the purely backward-looking as well as for the forward-looking IS curve. The real interest rate does not have a significantly negative effect on the output gap. Based on an extended specification of the IS curve, also including asset prices and monetary aggregates, a significantly negative interest rate effect on aggregate demand is found for all countries. This finding suggests that a richer specification of the IS curve in empirical work may be necessary in order to obtain an unbiased estimate of the effect of monetary policy on aggregate demand.     

Studying the association between air pollution and lung cancer incidence in a large metropolitan area using a kernel density function

In the absence of patient-specific data, composite level data are often used in epidemiological studies. However, since individual exposure levels cannot accurately be inferred from aggregate data, such an approach may lead to erroneous estimates of health effects of potential environmental risk factors. In the present study, we attempt to address this information-loss problem by using the “kernel density function”, which estimates the intensity of events across a surface, by calculating the overall number of cases situated within a given search radius from a target point. The present paper illustrates the use of this analytical technique for a study of association between the geographical distributions of lung cancer cases and SO₂ air pollution estimates in the Greater Haifa Metropolitan Area (GHMA). In the analysis, the results obtained by kernel smoothing are contrasted with those obtained by areal aggregation techniques more commonly used in empirical studies.     

From risks to second-order dangers in financial markets: Unintended consequences of risk management systems

This article, along with this special symposium, engages with the lasting significance of Neil Smith's Uneven Development: Nature, Capital, and the Production of Space 25 years after its publication. Few books have made such productive contributions to expanding the horizons of political economy, particularly the spatiality of political economy, as has Uneven Development. This introductory article explores some of these aspects of the book's significance for the readership of New Political Economy; it remarks on the lasting if not growing significance of Smith's intellectual and political contributions two and a half decades after one of his, and the discipline of geography's, crowning achievements. At the same time it foreshadows ways in which the text can continue to push our understanding of the interconnections among nature, capital and the production of space.     

Agricultural productivity,shadow wages and off-farm labor decisions in Nicaragua

The objective of this study is to analyze the decision to work off-farm by male and female farmers in Nicaragua using a three-year unbalanced panel dataset. Shadow income and shadow wages are also estimated. Moreover, to mitigate biases from unobserved individual and farm time-invariant characteristics as well as from sample selection, we apply a semiparametric approach for panel data. Our main findings suggest that shadow wages play a major role in off-farm labor decisions for both males and females. This implies that less labor is allocated to off-farm activities as the opportunity cost for agricultural work goes up. In addition, as the on-farm marginal productivity of households (i.e., shadow income) rises, both males and females reduce the hours they allocate to off-farm activities.     

Exchange rate uncertainty and import prices in the euro area

This paper analyzes the effects of exchange rate uncertainty on the pricing behavior of import firms in the euro area. Uncertainty is measured via the volatility of the structural shocks to the exchange rate in a nonlinear vector‐autoregressive model framework and is an important determinant of import prices. An increase in exchange rate uncertainty is associated with a fall in prices on average, which suggests that the exchange rate risk is borne by the importers. Controlling for the origin of imports (within or outside the euro area) is important for assessing the impact of exchange rate movements on prices.     

Preston,Ivan L., The Tangled Web They Weave: Truth,Falsity, & Advertisers,Madison: The University of Wisconsin Press, 1994

Abstract

In an experiment, children in three grade levels (second, fourth, and sixth) viewed four advertisements. The children were shown advertisements with either metaphors in both pictorial and verbal form or a literal equivalent. The sixth graders interpreted more metaphors correctly than the fourth and second graders. In terms of recall of advertised content, the sixth and fourth graders recalled brand names, products, and additional copy better than the second graders. Within each grade level, metaphors did not enhance children's recall of advertised content or perceptions of the understandability of the advertisements and liking of the advertised products. The authors speculate that metaphors are most likely to enhance recall under conditions in which the metaphor serves as a direct representation linking the metaphor to the advertised product. Their findings suggest that advertisers should be aware that young readers may have difficulty interpreting metaphors and that metaphors may not be more effective in terms of children's recall and perception of understandability than literal versions of advertisements.     

Customer satisfaction measurement: comparing four methods of attribute categorisations

The issue of how to weight and categorise service attributes has attracted great attention from academics as well as practitioners. The application of an inappropriate method could lead to misleading interpretations and useless or costly actions. We first review several streams of literature concerning the theoretical background of attribute categorisations in relation to customer satisfaction. We then identify four methods that have been developed to categorise attributes into four classes. In the next step we apply these methods in an empirical study. Criteria for distinguishing the considered approaches conceptually and methodologically are proposed, and implications for future research are discussed.