987 resultados para shock impact curve


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This paper examines how appropriately to attribute economic impact to consumption expenditures. Consumption expenditures are often treated as either wholly endogenous or wholly exogenous, following a distinction from Input-Output analysis. For many applications, such as those focusing on the impacts of tourism or benefits systems, such binomial assumptions are not satisfactory. We argue that consumption is neither wholly endogenous nor wholly exogenous but that the degree of this distinction is rather an empirical matter. We set out a general model for the treatment of consumption expenditures and illustrate its application through the case of university students. We examine individual student groups and how the impacts of students at particular institutions. Furthermore we take into account the binding budget constraint of public expenditures (as is the case for devolved regions in the UK)and examine how this affects the impact attributed to students' consumption expenditures.

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The Agglomeration Bonus (AB) is a mechanism to induce adjacent landowners to spatially coordinate their land use for the delivery of ecosystem services from farmland. This paper uses laboratory experiments to explore the performance of the AB in achieving the socially optimal land management configuration in a local network environment where the information available to subjects varies. The AB poses a coordination problem between two Nash equilibria: a Pareto dominant and a risk dominant equilibrium. The experiments indicate that if subjects are informed about both their direct and indirect neighbors’ actions, they are more likely to coordinate on the Pareto dominant equilibrium relative to the case where subjects have information about their direct neighbors’ action only. However, the extra information can only delay – and not prevent – the transition to the socially inferior risk dominant Nash equilibrium. In the long run, the AB mechanism may only be partially effective in enhancing delivery of ecosystem services on farming landscapes featuring local networks.

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Part of the local economic impact of a major sporting event comes from the associated temporary tourism expenditures. Typically demand-driven Input-Output (IO) methods are used to quantify the impacts of such expenditures. However, IO modelling has specific weaknesses when measuring temporary tourism impacts; particular problems lie in its treatment of factor supplies and its lack of dynamics. Recent work argues that Computable General Equilibrium (CGE) analysis is more appropriate and this has been widely applied. Neglected in this literature however is an understanding of the role that behavioural characteristics and factor supply assumptions play in determining the economic impact of tourist expenditures, particularly where expenditures are temporary (i.e. of limited duration) and anticipated (i.e. known in advance). This paper uses a CGE model for Scotland in which agents can have myopic- or forward-looking behaviours and shows how these alternative specifications affect the timing and scale of the economic impacts from anticipated and temporary tourism expenditure. The tourism shock analysed is of a scale expected for the Commonwealth Games to be held in Glasgow in 2014. The model shows how “pre-shock” and “legacy” effects – impacts before and after the shock – arise and their quantitative importance. Using the forward-looking model the paper calculates the optimal degree of pre-announcement.

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This paper studies unemployed workers’ decisions to change occupations, and their impact on fluctuations in aggregate unemployment and its underlying duration distribution. We develop an analytically and computationally tractable stochastic equilibrium model with heterogenous labor markets. In this model three different types of unemployment arise: search, rest and reallocation unemployment. We document new evidence on unemployed workers’ gross occupational mobility and use it to calibrate the model. We show that rest unemployment is the main driver of unemployment fluctuations over the business cycle and causes cyclical unemployment to be highly volatile. The resulting unemployment duration distribution generated by the model responds realistically to the business cycle, creating substantial longer-term unemployment in downturns. Finally, rest unemployment also makes our model simultaneously consistent with procyclical occupational mobility of the unemployed, countercyclical job separations into unemployment and a negatively-sloped Beveridge curve.

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Introduction: As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature-selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees of prediction difficulty represented by three clinically relevant endpoints. Methods: We used gene-expression data from 230 breast cancers (grouped into training and independent validation sets), and we examined 40 predictors (five univariate feature-selection methods combined with eight different classifiers) for each of the three endpoints. Their classification performance was estimated on the training set by using two different resampling methods and compared with the accuracy observed in the independent validation set. Results: A ranking of the three classification problems was obtained, and the performance of 120 models was estimated and assessed on an independent validation set. The bootstrapping estimates were closer to the validation performance than were the cross-validation estimates. The required sample size for each endpoint was estimated, and both gene-level and pathway-level analyses were performed on the obtained models. Conclusions: We showed that genomic predictor accuracy is determined largely by an interplay between sample size and classification difficulty. Variations on univariate feature-selection methods and choice of classification algorithm have only a modest impact on predictor performance, and several statistically equally good predictors can be developed for any given classification problem.

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This paper compares the poverty reduction impact of income sources, taxes and transfers across five OECD countries. Since the estimation of that impact can depend on the order in which the various income sources are introduced into the analysis, it is done by using the Shapley value. Estimates of the poverty reduction impact are presented in a normalized and un-normalized fashion, in order to take into into account the total as well as the per dollar impacts. The methodology is applied to data from the Luxembourg Income Study (LIS) database.

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Micro-econometric evidence reveals high private returns to education, most prominently in low-income countries. However, it is disputed to what extent this translates into a macro-economic impact. This paper projects the increase in human capital from higher education in Malawi and uses a dynamic applied general equilibrium model to estimate the resulting macroeconomics impact. This is contingent upon endogenous adjustments, in particular how labour productivity affects competitiveness and if this in turn stimulates exports. Choice among commonly applied labour market assumptions and trade elasticities results in widely different outcomes. Appraisal of such policies should consider not only the impact on human capital stocks, but also adjustments outside the labour market.

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Growth retardation, associated with delayed puberty, is a frequent feature in pediatric patients with inflammatory bowel disease (IBD), especially with Crohn's disease. It is mainly induced by malnutrition and the effects of the inflammatory process on the growth hormone/insulin-like growth factor-1 axis or on the growth plate. Therefore, control of disease activity and mucosal healing are paramount to promote growth and adequate pubertal onset. Current therapeutic strategies for maintenance in IBD include anti-inflammatory drugs, immunosuppressives, and, more recently, biologic agents. Although these treatments are efficient in minimizing inflammation and inducing prolonged remission, their long-term effects on growth and final height remain controversial. Furthermore, glucocorticoid therapy, even though very efficient in inducing remission, clearly shows deleterious effects on growth, which is not the case for exclusive enteral nutrition showing comparable results regarding induction of remission. Thus regular assessment of weight, height and pubertal stage is essential in children and adolescents with chronic disease, namely IBD.

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This paper uses data on the world's copper mining industry to measure the impact on efficiency of the adoption of the ISO 14001 environmental standard. Anecdotal and case study literature suggests that firms are motivated to adopt this standard so as to achieve greater efficiency through changes in operating procedures and processes. Using plant level panel data from 1992-2007 on most of the world's industrial copper mines, the study uses stochastic frontier methods to investigate the effects of ISO adoption. The variety of models used in this study find that adoption either tends to improve efficiency or has no impact on efficiency, but no evidence is found that ISO adoption decreases efficiency.

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BACKGROUND:It is unknown whether specific viral polymorphisms affect in vivo therapeutic response in patients with cytomegalovirus (CMV) disease. Polymorphisms in the CMV glycoprotein B (gB) gene allow discrimination of 4 distinct genotypes (gB1-gB4). We assessed the influence of gB genotypes on the clinical and virologic outcome of CMV disease. METHODS:Solid-organ transplant recipients enrolled in a multicenter trial of CMV disease treatment (VICTOR study) were included in this study. CMV gB genotyping was performed using quantitative real-time polymerase chain reaction at day 0 (start of antiviral therapy). RESULTS:Among 239 patients with CMV disease, the prevalence of gB strain types was 26% for gB1, 10% for gB2, 10% for gB3, and 5% for gB4, whereas mixed infections were present in 49%. Donor-seropositive/recipient-seropositive patients were more likely to have mixed gB infection than donor-seropositive/recipient-seronegative patients (40% vs. 12%; P = .001). Median baseline viral loads were higher and time to viral eradication was longer ( P = .006 and P = .026 , respectively) for mixed infection versus infection with a single genotype. In a multivariate model, mixed gB infection was a significant predictor of failure to eradicate virus by day 21 (mixed vs single genotype; odds ratio, 2.66; 95% confidence interval, 1.31-5.38; P = .007 ) after controlling for baseline viral load, CMV serostatus at baseline, ganciclovir resistance, and antiviral treatment. No effect of gB genotype was seen on virologic or clinical CMV recurrence. CONCLUSIONS:No specific gB genotype appears to confer a specific CMV virulence advantage. However, mixed gB genotype infections are associated with higher viral loads and delayed viral clearance.

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Rapport de synthèse : Contexte: l'hydroxyéthylamidon (HEA) est largement utilisé comme expanseur volémique en anesthésiologie et réanimation. Cependant, cette classe de produits perturbe le system de la coagulation. Des améliorations restent possibles dans le choix de la combinaison optimale de poids moléculaire, de degré de substitution en radicaux éthyle et de localisation de ces radicaux sur le squelette glucidique des polymères, afin d'optimiser leur efficacité et leur tolérance. L'HEA de poids moléculaire élevé et faiblement substitué n'affecte pas plus la coagulation sanguine que de l'HEA de bas poids moléculaire faiblement substitué. Nous examinons in vivo l'effet d'un abaissement du rapport C2/C6 sur les caractéristiques pharmacocinétiques et l'impact sur la coagulation sanguine d'un HEA de haut poids moléculaire faiblement substitué. Matériels et méthode: nous comparons dans une étude prospective, randomisée et parallèle l'HEA 650/0.42/2.8 avec l'HEA 650/0.42/5.6 auprès de 30 cochons. Avant, pendant et jusqu'à 630 minutes après une perfusion de 30 ml/kg d'HEA, des échantillons sanguins ont été collectés pour mesurer les concentrations d'HEA, les tests de coagulation plasmatique classiques et la coagulation sanguine par thrombélastographie (TEG®, Haemoscope Corporation, Niles, II, U.S.). Les paramètres pharmacocinétiques ont été estimés en adaptant un modèle à deux compartiments. Résultats: la constante d'élimination est de 0.009 ± 0.001 (min-1) pour l'HEA 650/0.42/2.8 et 0.007 ± 0.001 (min-1) pour l'HEA 650/0.42/5.6 (p<0.001); la surface sous la courbe de concentration est de 1374 ± 340 min*g/L pour l'HEA 650/0.42/2.8 et 1697 ± 411 min*g/L pour l'HEA 650/0.42/5.6 (p=0.026). Les concentrations mesurées d'HEA ne montrent pas de différence entre l'HEA 650/0.42/2.8 et l'HEA 650/0.42/5.6. Les deux solutions d'HEA affectent de façon identique la coagulation sanguine: l'index de coagulation thrombélastographique diminue pareillement à ta fin de la perfusion d'HEA 650/0.42/2.8 et d'HEA 650/0.42/5.6 (p=0.29). De même, le temps de thromboplastine partielle activée et le temps de prothrombine augmentent de manière similaire pour l'HEA 650/0.42/2.8 et l'HEA 650/0.42/5.6 (p=0.83). Conclusion: la réduction du rapport C2/C6 de l'HEA de poids moléculaire élevé et faiblement substitué aboutit à une élimination légèrement accélérée d'HEA. Cependant, elle ne modifie pas l'effet perturbateur sur la coagulation.