1,721,000 research outputs found

    DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS

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    We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis. The resulting test is adaptive rate-optimal and consistent against Pitman local alternatives approaching the parametric model at a rate arbitrarily close to 1/\sqrt{n}. Asymptotic critical values come from the standard normal distribution and bootstrap can be used in small samples. A general formalization allows to consider a large class of linear smoothing methods, which can be tailored for detection of additive alternatives.Hypothesis testing, nonparametric adaptive tests, selection methods

    Pertes de bien-être et pouvoir de marché dans l'agro-alimentaire français

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    Losses of Welfare and Market Power in the French Food Industry by Pascal Lavergne, Vincent Réquillart and Michel Simioni We study the practical problems of estimating losses of welfare resulting from market power. Particular attention is paid to the specification of demand functions, the evaluation of deviations between marginal costs and prices and the calculation of Hicksian losses of welfare. We evaluate the losses of welfare for 31 French food sectors and show that the Marshallian consumers' surplus measurement is a good approximation of the Hicksian surplus measurement. However, the Marshallian loss of welfare measurement does not provide a good approximation of the corresponding Hicksian measurement. Lastly, the different approximations of the marginal cost-price deviation produce considerably different sector rankings by extent of losses of welfare.Pertes de bien-être et pouvoir de marché dans l'agro-alimentaire français par Pascal Lavergne, Vincent Réquillart et Michel Simioni Nous étudions les problèmes pratiques posés par l'estimation des pertes de bien-être résultant d'un pouvoir de marché. Une attention particulière est portée à la spécification des fonctions de demande, à l'évaluation des écarts entre prix et coûts marginaux et au calcul des pertes hicksiennes de bien-être. Nous évaluons les pertes de bien-être pour 31 branches de l'agro-alimentaire français et montrons que la mesure marshallienne du surplus du consommateur constitue une bonne approximation de la mesure hicksienne du surplus. Par contre, la mesure marshallienne de la perte de bien-être ne fournit pas une bonne approximation de la mesure hicksienne correspondante. Enfin, les classements des branches selon l'importance des pertes de bien-être obtenues pour différentes approximations de l'écart prix-coût marginal diffèrent sensiblement.Lavergne Pascal, Réquilllart Vincent, Simioni Michel. Pertes de bien-être et pouvoir de marché dans l'agro-alimentaire français. In: Économie & prévision, n°135, 1998-4. pp. 77-86

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Consistent tests of conditional moment restrictions

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    We propose two classes of consistent tests in parametric econometric models defined through multiple conditional moment restrictions. The first type of tests relies on nonparametric estimation, while the second relies on a functional of a marked empirical process. For both tests, a simulation procedure for obtaining critical values is shown to be asymptotically valid. Finite sample performances of the tests are investigated by means of several Monte-Carlo experiments.Publicad

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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