939 resultados para Google, String matching


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According to Ljungqvist and Sargent (1998), high European unemployment since the 1980s can be explained by a rise in economic turbulence, leading to greater numbers of unemployed workers with obsolete skills. These workers refuse new jobs due to high unemployment benefits. In this paper we reassess the turbulence-unemployment relationship using a matching model with endogenous job destruction. In our model, higher turbulence reduces the incentives of employed workers to leave their jobs. If turbulence has only a tiny effect on the skills of workers experiencing endogenous separation, then the results of Lungqvist and Sargent (1998, 2004) are reversed, and higher turbulence leads to a reduction in unemployment. Thus, changes in turbulence cannot provide an explanation for European unemployment that reconciles the incentives of both unemployed and employed workers.

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This paper generalizes the original random matching model of money byKiyotaki and Wright (1989) (KW) in two aspects: first, the economy ischaracterized by an arbitrary distribution of agents who specialize in producing aparticular consumption good; and second, these agents have preferences suchthat they want to consume any good with some probability. The resultsdepend crucially on the size of the fraction of producers of each goodand the probability with which different agents want to consume eachgood. KW and other related models are shown to be parameterizations ofthis more general one.

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This paper analyzes the problem of matching heterogeneous agents in aBayesian learning model. One agent gives a noisy signal to another agent,who is responsible for learning. If production has a strong informationalcomponent, a phase of cross-matching occurs, so that agents of low knowledgecatch up with those of higher one. It is shown that:(i) a greater informational component in production makes cross-matchingmore likely;(ii) as the new technology is mastered, production becomes relatively morephysical and less informational;(iii) a greater dispersion of the ability to learn and transfer informationmakes self-matching more likely; and(iv) self-matching leads to more self-matching, whereas cross-matching canmake less productive agents overtake more productive ones.

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This paper explains the divergent behavior of European an US unemploymentrates using a job market matching model of the labor market with aninteraction between shocks an institutions. It shows that a reduction inTF growth rates, an increase in real interest rates, and an increase intax rates leads to a permanent increase in unemployment rates when thereplacement rates or initial tax rates are high, while no increase inunemployment occurs when institutions are "employment friendly". The paperalso shows that an increase in turbulence, modelle as an increase probabilityof skill loss, is not a robust explanation for the European unemploymentpuzzle in the context of a matching model with both endogenous job creationand job estruction.

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This paper theoretically and empirically documents a puzzle that arises when an RBC economy with a job matching function is used to model unemployment. The standard model can generate sufficiently large cyclical fluctuations in unemployment, or a sufficiently small response of unemployment to labor market policies, but it cannot do both. Variable search and separation, finite UI benefit duration, efficiency wages, and capital all fail to resolve this puzzle. However, either sticky wages or match-specific productivity shocks can improve the model's performance by making the firm's flow of surplus more procyclical, which makes hiring more procyclical too.

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We develop a two-sided matching model to analyze collaboration between heterogeneousacademics and firms. We predict a positive assortative matching in terms of both scientificability and affinity for type of research, but negative assortative in terms of ability on one sideand affinity in the other. In addition, the most able and most applied academics and the mostable and most basic firms shall collaborate rather than stay independent. Our predictionsreceive strong support from the analysis of the teams of academics and firms that proposeresearch projects to the UK's Engineering and Physical Sciences Research Council.

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This paper compares two well known scan matching algorithms: the MbICP and the pIC. As a result of the study, it is proposed the MSISpIC, a probabilistic scan matching algorithm for the localization of an Autonomous Underwater Vehicle (AUV). The technique uses range scans gathered with a Mechanical Scanning Imaging Sonar (MSIS), and the robot displacement estimated through dead-reckoning with the help of a Doppler Velocity Log (DVL) and a Motion Reference Unit (MRU). The proposed method is an extension of the pIC algorithm. Its major contribution consists in: 1) using an EKF to estimate the local path traveled by the robot while grabbing the scan as well as its uncertainty and 2) proposing a method to group into a unique scan, with a convenient uncertainty model, all the data grabbed along the path described by the robot. The algorithm has been tested on an AUV guided along a 600m path within a marina environment with satisfactory results

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The matching function -a key building block in models of labor market frictions- impliesthat the job finding rate depends only on labor market tightness. We estimate such amatching function and find that the relation, although remarkably stable over 1967-2007,broke down spectacularly after 2007. We argue that labor market heterogeneities are notfully captured by the standard matching function, but that a generalized matching functionthat explicitly takes into account worker heterogeneity and market segmentation is fullyconsistent with the behavior of the job finding rate. The standard matching function canbreak down when, as in the Great Recession, the average characteristics of the unemployedchange too much, or when dispersion in labor market conditions -the extent to which somelabor markets fare worse than others- increases too much.

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Se analiza una preocupación expresada tanto de forma implícita como explícita en diversos ámbitos, según la cual los motores de búsqueda en general y Google en particular, podrían estar utilizando algún sistema para ocultar determinados contenidos culturales o bien para destacar aquellos que proceden del ámbito anglosajón en detrimento de los de otras culturas y lenguas. Dicho de otro modo, se considera, en una primera aproximación de modo exclusivamente conceptual, la idea de si el uso intensivo de los motores de búsqueda, tan característico de nuestro tiempo, resulta una amenaza para la diversidad cultural. Para ello, en primer lugar y con el fin de contextualizar este trabajo, se lleva a cabo una presentación de dos polémicas previas sobre el dilema proteccionismo o libre flujo de los productos culturales y a continuación se analizan las características más relevantes de los motores de búsqueda (centrándonos en Google en particular) con el fin de valorar si éstos constituyen una amenaza creíble a la diversidad cultural e idiomática de la Web.

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Objectiu. Descriure el projecte Google books i analitzar-lo des de la perspectiva legal, tenint en compte els tres agents principals implicats: Google, els titulars de drets de propietat intel·lectual i les biblioteques. Metodologia. Anàlisi legal comparada (legislacions dels Estats Units, de França i d'Espanya) de les implicacions del projecte Google books sobre els drets de propietat intel·lectual i el dret de la competència. Estudi de les demandes plantejades contra Google als Estats Units i a Europa, aixícom les possibles conseqüències de l'acord de conciliació adoptat per Google i les associacionsd'autors i editors als Estats Units. Resultats. Google books ha suposat una infracció massiva de drets de propietat intel·lectual. Per determinar si els llibres d'una biblioteca han entrat en el domini públic o no, cal determinar prèviament quina llei nacional resulta aplicable a cada llibre. La posada a disposició a Google books d'obres descatalogades i tan sols fragments de llibres que es troben a la venda no pot dursea terme sense l'autorització dels titulars. En el cas de les obres òrfenes, l'explotació exigeixl'adopció de certes mesures prèvies per garantir els drets dels titulars, en cas que aquests arribina conèixer-se. L'acord de conciliació adoptat als Estats Units entre Google i les associacionsd'autors i editors pot implicar una posició de monopoli per part de Google en relació amb la venda dels llibres descatalogats i les obres òrfenes.

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Objetivos: Describir el proyecto Google books y analizarlo desde la perspectiva legal, teniendo en cuenta los tres agentes principales implicados en el mismo: Google, los titulares de derechos de propiedad intelectual y las bibliotecas. Metodología: Análisis legal comparado (legislaciones de Estados Unidos, Francia y España) de las implicaciones del proyecto Google books sobre los derechos de propiedad intelectual y el derecho de la competencia. Estudio de las demandas planteadas contra Google en Estados Unidos y en Europa, así como las posibles consecuencias del acuerdo de conciliación adoptado por Google y las asociaciones de autores y editores en Estados Unidos. Resultados: Google books ha supuesto una infracción masiva de derechos de propiedad intelectual. Para determinar si los libros que se encuentran en una biblioteca han entrado o no el dominio público, es preciso determinar previamente qué ley nacional resulta aplicable a cada libro. La puesta a disposición en Google books de obras descatalogadas y únicamente de fragmentos de libros que se encuentran a la venta no puede llevarse a cabo sin laautorización de los titulares. En el caso de las obras huérfanas, su explotación exige la adopción de ciertas medidas previas para garantizar los derechos de los titulares, en el caso de que estos lleguen a conocerse. El acuerdo de conciliación adoptado en Estados Unidos entre Google y las asociaciones de autores y editores puede implicar una posición de monopolio por parte de Google en relación a la venta de los libros descatalogados y de las obras huérfanas.