987 resultados para Data Centres
Resumo:
This paper investigates the role of institutions in determining per capita income levels and growth. It contributes to the empirical literature by using different variables as proxies for institutions and by developing a deeper analysis of the issues arising from the use of weak and too many instruments in per capita income and growth regressions. The cross-section estimation suggests that institutions seem to matter, regardless if they are the only explanatory variable or are combined with geographical and integration variables, although most models suffer from the issue of weak instruments. The results from the growth models provides some interesting results: there is mixed evidence on the role of institutions and such evidence is more likely to be associated with law and order and investment profile; government spending is an important policy variable; collapsing the number of instruments results in fewer significant coefficients for institutions.
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We present a unique empirical analysis of the properties of the New Keynesian Phillips Curve using an international dataset of aggregate and disaggregate sectoral in ation. Our results from panel time-series estimation clearly indicate that sectoral heterogeneity has important consequences for aggregate in ation behaviour. Heterogeneity helps to explain the overestimation of in ation persistence and underestimation of the role of marginal costs in empirical investigations of the NKPC that use aggregate data. We nd that combining disaggregate information with heterogeneous-consistent estimation techniques helps to reconcile, to a large extent, the NKPC with the data.
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A partir dels resutats de la prova d'anglès de la Selectivitat els anys 2007, 2006 i 2005, s'han seleccionat 8 instituts de secundària (titularitat pública) que han obtingut resultats més alts i s'han estudiat les possibles característiques que contribueixen al seu bon funcionament.
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Regression-based decomposition procedures are used to both standardise the concentration index and to determine the contribution of inequalities in the individual health determinants to the overall value of the index. The main contribution of this paper is to develop analogous procedures to decompose the income-related health mobility and health-related income mobility indices first proposed in Allanson, Gerdtham and Petrie (2010) and subsequently extended in Petrie, Allanson and Gerdtham (2010) to account for deaths. The application of the procedures is illustrated by an empirical study that uses British Household Panel Survey (BHPS) data to analyse the performance of Scotland in tackling income-related health inequalities relative to England & Wales over the five year period 1999 to 2004.
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Aquest projecte centra la seva atenció en la incidència que la composició social dels centres d'ensenyament -és a dir, l'origen social del seu alumnat- té sobre l'equitat en el tram d'escolarització obligatòria del sistema educatiu català. Concretament posa l'accent en els efectes que diferents tipus de composicions socials poden tenir sobre el rendiment escolar i les expectatives de trajectòria dels estudiants procedents de famílies amb un nivell instructiu baix (en aquesta investigació l'origen social de l'alumnat és mesurat pel nivell d'estudis del pare i la mare de l'alumne, atesa la incidència que el capital instructiu dels progenitors té sobre els seus resultats acadèmics). Ha estat objectiu d’aquest projecte copsar si el fet de trobar-se en un context escolar socialment més heterogeni té algun tipus d’influència positiva sobre el rendiment dels estudiants procedents de famílies poc instruïdes. És per això que s’han analitzat diferents tipus de composicions socials, corresponents a quatre IES. Mitjançant l’anàlisi comparativa d’aquestes realitats escolars, s’ha volgut observar fins a quin punt una presència significativa d’alumnes de famílies amb un nivell instructiu elevat estimula un increment del rendiment i/o de les expectatives al finalitzar l’escolarització obligatòria dels fills de famílies poc instruïdes. Dit d’altra manera, s’ha volgut comprovar si els contextos escolars heterogenis tenen algun tipus d’efecte reductor de les desigualtats inherents en la desigual distribució del capital instructiu familiar entre l’alumnat. En últim lloc, el projecte ha pretès analitzar el tipus de xarxa relacional que es genera entre l’alumnat en els diferents contextos objecte d’anàlisi. L’estudi posa de manifest que, en termes generals, els contextos amb presència significativa d’alumnes de famílies amb un nivell d’instrucció elevat tenen un impacte positiu sobre les expectatives dels alumnes de famílies menys instruïdes. Aquest "efecte-contagi" d'expectatives es pot produir en alguns casos per identificació amb la xarxa relacional més propera o, en d'altres casos, per la coexistència en el grup-classe amb una majoria d'alumnes procedents de famílies més instruïdes.
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La memòria que es presenta a continuació és el resultat de la recerca realitzada durant una Beca per a la formació i contractació de personal investigador novell (FI) oferta per l’AGAUR. La recerca que es recull en aquesta memòria es traca de recerca en educació. Concretament, s’emmarca en l’àmbit de coneixement de la de la psicopedagogia i, més particularment en les aportacions que des d’aquest àmbit es poden abordar partint de les posicions de la inclusió escolar com a font del disseny, el desplegament, anàlisi i valoració de processos d’integració educativa de persones amb algun retard en el seu desenvolupament en el marc d’un centre educatiu ordinari. Més concretament en aquesta recerca s’ha dut a terme, a través d’una metodologia qualitativa, l’anàlisi dels processos d’integració escolar que estan vivint dos infants amb discapacitat en un centre educatiu d’una comarca del centre de Catalunya amb la finalitat conèixer com s’ha desenvolupat i també aconseguir la millora de la qualitat didàctica de les aules ordinàries a les quals pertanyen que contribueixi a la promoció de canvis inclusius. Fruit d’aquest procés s’han pogut conèixer alguns elements significatius i crítics en els quals es puguin fonamentar les actuacions i estratègies que permetin el disseny i el desenvolupament dels processos d’integració educativa de l’alumnat amb discapacitats en els centres ordinaris.
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New methods of analysis of patent statistics allow assessing country profiles of technological specialization for the period 1990-2006. We witness a modest decrease in levels of specialization, which we show to be negatively influenced by country size and degree of internationalization of inventive activities.
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Using survey expectations data and Markov-switching models, this paper evaluates the characteristics and evolution of investors' forecast errors about the yen/dollar exchange rate. Since our model is derived from the uncovered interest rate parity (UIRP) condition and our data cover a period of low interest rates, this study is also related to the forward premium puzzle and the currency carry trade strategy. We obtain the following results. First, with the same forecast horizon, exchange rate forecasts are homogeneous among different industry types, but within the same industry, exchange rate forecasts differ if the forecast time horizon is different. In particular, investors tend to undervalue the future exchange rate for long term forecast horizons; however, in the short run they tend to overvalue the future exchange rate. Second, while forecast errors are found to be partly driven by interest rate spreads, evidence against the UIRP is provided regardless of the forecasting time horizon; the forward premium puzzle becomes more significant in shorter term forecasting errors. Consistent with this finding, our coefficients on interest rate spreads provide indirect evidence of the yen carry trade over only a short term forecast horizon. Furthermore, the carry trade seems to be active when there is a clear indication that the interest rate will be low in the future.
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This paper proposes full-Bayes priors for time-varying parameter vector autoregressions (TVP-VARs) which are more robust and objective than existing choices proposed in the literature. We formulate the priors in a way that they allow for straightforward posterior computation, they require minimal input by the user, and they result in shrinkage posterior representations, thus, making them appropriate for models of large dimensions. A comprehensive forecasting exercise involving TVP-VARs of different dimensions establishes the usefulness of the proposed approach.
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Time-lapse crosshole ground-penetrating radar (GPR) data, collected while infiltration occurs, can provide valuable information regarding the hydraulic properties of the unsaturated zone. In particular, the stochastic inversion of such data provides estimates of parameter uncertainties, which are necessary for hydrological prediction and decision making. Here, we investigate the effect of different infiltration conditions on the stochastic inversion of time-lapse, zero-offset-profile, GPR data. Inversions are performed using a Bayesian Markov-chain-Monte-Carlo methodology. Our results clearly indicate that considering data collected during a forced infiltration test helps to better refine soil hydraulic properties compared to data collected under natural infiltration conditions
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This paper develops a methodology to estimate the entire population distributions from bin-aggregated sample data. We do this through the estimation of the parameters of mixtures of distributions that allow for maximal parametric flexibility. The statistical approach we develop enables comparisons of the full distributions of height data from potential army conscripts across France's 88 departments for most of the nineteenth century. These comparisons are made by testing for differences-of-means stochastic dominance. Corrections for possible measurement errors are also devised by taking advantage of the richness of the data sets. Our methodology is of interest to researchers working on historical as well as contemporary bin-aggregated or histogram-type data, something that is still widely done since much of the information that is publicly available is in that form, often due to restrictions due to political sensitivity and/or confidentiality concerns.
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BACKGROUND: Certolizumab pegol (Cimzia, CZP) was approved for the treatment of Crohn's disease (CD) patients in 2007 in Switzerland as the first country worldwide. This prospective phase IV study aimed to evaluate the efficacy and safety of CZP over 26 weeks in a multicenter cohort of practice-based patients. METHODS: Evaluation questionnaires at baseline, week 6, and week 26 were completed by gastroenterologists in hospitals and private practices. Adverse events were evaluated according to World Health Organization (WHO) guidelines. RESULTS: Sixty patients (38F/22M) were included; 53% had complicated disease (stricturing or penetrating), 45% had undergone prior CD-related surgery. All patients had prior exposure to systemic steroids, 96% to immunomodulators, 73% to infliximab, and 43% to adalimumab. A significant decrease of the Harvey-Bradshaw Index (HBI) was observed under CZP therapy (12.2 ± 4.9 at week 0 versus 6.3 ± 4.7 at week 6 and 6.7 ± 5.3 at week 26, both P < 0.001). Response and remission rates were 70% and 40% (week 6) and 67% and 36%, respectively (week 26). The complete perianal fistula closure rate was 36% at week 6 and 55% at week 26. The frequency of adverse drug reactions attributed to CZP was 5%. CZP was continued in 88% of patients beyond week 6 and in 67% beyond week 26. CONCLUSIONS: In a population of CD patients with predominantly complicated disease behavior, CZP proved to be effective in induction and maintenance of response and remission. This series provides the first evidence of CZP's effectiveness in perianal fistulizing CD in clinical practice.
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The use of Geographic Information Systems has revolutionalized the handling and the visualization of geo-referenced data and has underlined the critic role of spatial analysis. The usual tools for such a purpose are geostatistics which are widely used in Earth science. Geostatistics are based upon several hypothesis which are not always verified in practice. On the other hand, Artificial Neural Network (ANN) a priori can be used without special assumptions and are known to be flexible. This paper proposes to discuss the application of ANN in the case of the interpolation of a geo-referenced variable.
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The effects of azadirachtin A, a tetranortriterpenoid from the neem tree Azadirachta indica J., on both development and interaction between Trypanosoma cruzi, the causative agent of Chagas' disease, and its vector Rhodnius prolixus were studied. Given through a blood meal, a dose-rsponse relationship of azadirachtin was established using antifeedant effect and ecdysis inhibition as effective parameters. A singlo dose of azadirachtin A was able to block the onset of mitosis in the epidermis and ecdysteroid titers in the hemnolymph, determined by radioimmuneassay, were too low for an induction of ecadysis. The survival of T. cruzi was also studied in R. prolixus treated with the drug. If the trypomastigotes were fed in presence of azadirachtin A the number of parasites drastically decreased. If the drug was applied after infection of the bug with T. cruzi, the parasite was still abolished from the gut. If the insect was pretreated with azadirachtin A before infection the same observation was obtained. A single dose of azadirachtin A was enough for a permanent resistance of the insect host against its reinfection with T. cruzi and for blocking the ecdysis for a long time. The effects of azadirachtin A on the hormonal balance of the host and growth inhibition of the parasite will be discussed on the basis of the present results.