907 resultados para SPATIAL PROPENSITY SCORE MATCHING


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Incluye Bibliografía

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El objetivo es evaluar los efectos del programa Bolsa Família (PBF) en los gastos de las familias beneficiarias en: alimentos, frutas, carnes y pescados, aves y huevos, verduras, cereales y oleaginosas, harinas y pastas, tubérculos y raíces, azúcar, productos de panadería, bebidas alcohólicas, educación, higiene, salud y materiales escolares. En la estimación se utilizaron microdatos de la Encuesta de Presupuestos Familiares del Brasil 2008-2009. La metodología para calcular el efecto medio del tratamiento en los tratados fue el emparejamiento por puntaje de propensión (propensity score matching). Los resultados fueron estadísticamente significativos respecto de los gastos en: i) alimentos; ii) aves y huevos; iii) legumbres y verduras; iv) cereales, leguminosas y oleaginosas; v) harinas, féculas y pastas; vi) tubérculos y raíces; vii) azúcares y derivados, y viii) artículos escolares. Se observa que las familias beneficiarias aumentaron la adquisición de bienes prioritarios y de materiales escolares, que suponen una inversión en educación.

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Includes bibliography.

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In 2009 Argentina implemented the Universal Child Allowance for Social Protection (AUH), a cash transfer programme for households with children. Coverage provided by the contributory family allowance programme was extended to parents who are unemployed or who work in the informal sector (domestic workers, for example). This paper uses the difference-in-difference estimator and propensity score matching techniques to evaluate the short-term effects of the auh on adult labour participation and income generation. The results suggest that, during its first year of operation, no significant disincentives to work were generated by the programme, given that it did not discourage adults from working or lead to a reduction in the number of hours worked. These findings are highly relevant in the Latin American context where these kinds of cash transfers have become an important component of social protection systems.

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A literatura sobre os determinantes do desempenho exportador das firmas industriais é ampla e bem diversificada, tanto na metodologia como nos resultados encontrados Para o caso dos países em desenvolvimento, em particular, a identificação destes determinantes não é tão convergente no sentido de que as relações de causalidade não são claras no que toca à sua direção e à relevância de determinada relação para um país específico. As relações comumente testadas no nível da firma industrial para estes países são as entre exportações e origem do capital (em particular, firmas estrangeiras), inovação e exportações, tamanho, produtividade e exportações, intensidade tecnológica setorial e exportações, eficiência de escala e exportações, indicadores de desempenho, custos fixos, freqüência das exportações e desempenho exportador. Os trabalhos mais recentes no Brasil têm focalizado mais o papel da eficiência de escala como determinante das exportações e o impacto das empresas transnacionais sobre o comércio exterior. Um passo metodológico à frente foi o uso das técnicas de Propensity Score Matching (PSM) para identificar as firmas potencialmente exportadoras, ou seja, firmas não exportadoras que possuem características produtivas e tecnológicas semelhantes a firmas exportadoras, o que contribui para trazer novas luzes à formulação de uma política industrial e tecnológica para o comércio exterior, pois vai além das proposições de reforçar as firmas exportadoras já existentes, ampliando o foco das políticas para exportadores potenciais. O objetivo aqui é trazer uma dimensão espacial do potencial exportador das firmas industriais brasileiras, através da análise das seguintes questões: (1) existe ou não um padrão locacional das firmas industriais que possuem probabilidade de exportar, isto é, das firmas com algum potencial exportador, seja este realizado ou não?; (2) existem determinantes espaciais das firmas com potencial exportador?; (3) existem determinantes espaciais específicos para as firmas com potencial exportador não realizado?

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This paper contributes to the empirical literature that evaluates the effects of public financial support to innovation on innovation expenditures, innovation itself and productivity in developing countries. Propensity score matching techniques and data from Innovation Surveys are used to analyse the impacts of public financial support to innovation on Uruguayan firms. The results indicate that there is no crowding-out effect of private innovation investment by public funds and that public financial support in Uruguay seems to increase private innovation expenditures. Financial support also appears to induce increased research and development expenditures and innovative sales, with these effects being greatest for service firms. Public funds do not, however, significantly stimulate private expenditures by firms that would have carried out innovation activities even in the absence of financial support.

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O objetivo deste trabalho é mensurar os impactos do crédito rural sobre a produtividade da terra e do trabalho nas grandes regiões brasileiras. A abordagem metodológica é baseada em modelo de restrição de crédito e no método do propensity score. Foram utilizados microdados do Censo Agropecuário de 2006. Os resultados mostram que o crédito não foi efetivo para aumentar a produtividade dos fatores no setor agrícola, exceto para a região nordeste do Brasil. Os resultados apontam para a necessidade de melhorias na política de crédito rural no Brasil.

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Background: Percutaneous coronary intervention (PCI) has increased as the initial revascularization strategy in chronic coronary artery disease. Consequently, more patients undergoing coronary artery bypass grafting (CABG) have history of coronary stent. Objective: Evaluate the impact of previous PCI on in-hospital mortality after CABG in patients with multivessel coronary artery disease. Methods: Between May/2007 and June/2009, 1099 consecutive patients underwent CABG on cardiopulmonary bypass. Patients with no PCI (n=938, 85.3%) were compared with patients with previous PCI (n=161, 14.6%). Logistic regression models and propensity score matching analysis were used to assess the risk-adjusted impact of previous PCI on in-hospital mortality. Results: Both groups were similar, except for the fact that patients with previous PCI were more likely to have unstable angina (16.1% x 9.9%, p=0.019). In-hospital mortality after CABG was higher in patients with previous PCI (9.3% x 5.1%, p=0.034) and it was comparable with EuroSCORE and 2000 Bernstein-Parsonnet risk score. Using multivariate logistic regression analysis, previous PCI emerged as an independent predictor of postoperative in-hospital mortality (odds ratio 1.94, 95% CI 1.02-3.68, p=0.044) as strong as diabetes (odds ratio 1.86, 95% CI 1.07-3.24, p=0.028). After computed propensity score matching based on preoperative risk factors, in-hospital mortality remained higher among patients with previous PCI (odds ratio 3.46, 95% CI 1.10-10.93, p=0.034). Conclusions: Previous PCI in patients with multivessel coronary artery disease is an independent risk factor for in-hospital mortality after CABG. This fact must be considered when PCI is indicated as initial alternative in patients with more severe coronary artery disease. (Arq Bras Cardiol 2012;99(1):586-595)

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OBJECTIVE: To analyze cause-specifi c mortality rates according to the relative income hypothesis. METHODS: All 96 administrative areas of the city of Sao Paulo, southeastern Brazil, were divided into two groups based on the Gini coefficient of income inequality: high (>= 0.25) and low (<0.25). The propensity score matching method was applied to control for confounders associated with socioeconomic differences among areas. RESULTS: The difference between high and low income inequality areas was statistically significant for homicide (8.57 per 10,000; 95% CI: 2.60; 14.53); ischemic heart disease (5.47 per 10,000 [95% CI 0.76; 10.17]); HIV/AIDS (3.58 per 10,000 [95% CI 0.58; 6.57]); and respiratory diseases (3.56 per 10,000 [95% CI 0.18; 6.94]). The ten most common causes of death accounted for 72.30% of the mortality difference. Infant mortality also had signifi cantly higher age-adjusted rates in high inequality areas (2.80 per 10,000 [95% CI 0.86; 4.74]), as well as among males (27.37 per 10,000 [95% CI 6.19; 48.55]) and females (15.07 per 10,000 [95% CI 3.65; 26.48]). CONCLUSIONS: The study results support the relative income hypothesis. After propensity score matching cause-specifi c mortality rates was higher in more unequal areas. Studies on income inequality in smaller areas should take proper accounting of heterogeneity of social and demographic characteristics.

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OBJECTIVE: To analyze cause-specific mortality rates according to the relative income hypothesis. METHODS: All 96 administrative areas of the city of São Paulo, southeastern Brazil, were divided into two groups based on the Gini coefficient of income inequality: high (>0.25) and low (<0.25). The propensity score matching method was applied to control for confounders associated with socioeconomic differences among areas. RESULTS: The difference between high and low income inequality areas was statistically significant for homicide (8.57 per 10,000; 95%CI: 2.60;14.53); ischemic heart disease (5.47 per 10,000 [95%CI 0.76;10.17]); HIV/AIDS (3.58 per 10,000 [95%CI 0.58;6.57]); and respiratory diseases (3.56 per 10,000 [95%CI 0.18;6.94]). The ten most common causes of death accounted for 72.30% of the mortality difference. Infant mortality also had significantly higher age-adjusted rates in high inequality areas (2.80 per 10,000 [95%CI 0.86;4.74]), as well as among males (27.37 per 10,000 [95%CI 6.19;48.55]) and females (15.07 per 10,000 [95%CI 3.65;26.48]). CONCLUSIONS: The study results support the relative income hypothesis. After propensity score matching cause-specific mortality rates was higher in more unequal areas. Studies on income inequality in smaller areas should take proper accounting of heterogeneity of social and demographic characteristics.

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This dissertation investigates corporate governance and dividend policy in banking. This topic has recently attracted the attention of numerous scholars all over the world and currently remains one of the most discussed topics in Banking. The core of the dissertation is constituted by three papers. The first paper generalizes the main achievements in the field of relevant study using the approach of meta-analysis. The second paper provides an empirical analysis of the effect of banking corporate governance on dividend payout. Finally, the third paper investigates empirically the effect of government bailout during 2007-2010 on corporate governance and dividend policy of banks. The dissertation uses a new hand-collected data set with information on corporate governance, ownership structure and compensation structure for a sample of listed banks from 15 European countries for the period 2005-2010. The empirical papers employ such econometric approaches as Within-Group model, difference-in-difference technique, and propensity score matching method based on the Nearest Neighbor Matching estimator. The main empirical results may be summarized as follows. First, we provide evidence that CEO power and connection to government are associated with lower dividend payout ratios. This result supports the view that banking regulators are prevalently concerned about the safety of the bank, and powerful bank CEOs can afford to distribute low payout ratios, at the expense of minority shareholders. Next, we find that government bailout during 2007-2010 changes the banks’ ownership structure and helps to keep lending by bailed bank at the pre-crisis level. Finally, we provide robust evidence for increased control over the banks that receive government money. These findings show the important role of government when overcoming the consequences of the banking crisis, and high quality of governance of public bailouts in European countries.

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The objective of this study is to measure the impact of the national subsidy scheme on the olive and fruit sector in two regions of Albania, Shkodra and Fier. From the methodological point of view, we use a non- parametric approach based on the propensity score matching. This method overcomes problem of the missing data, by creating a counterfactual scenario. In the first step, the conditional probability to participate in the program was computed. Afterwards, different matching estimators were applied to establish whether the subsidies have affected sectors performance. One of the strengths of this study stays in the data. Cross-sectional primary data was gathered through about 250 interviews.. We have not found empirical evidence of significant effects of government aid program on production. Differences in production found between beneficiaries and non-beneficiaries disappear after adjustment by the conditional probability of participating into the program. This suggests that subsidized farmers would have performed better than the subsidized households even in the absence of production grants, revealing program self-selection. On the other hand, the scheme has affected positively the farm structure increasing the area under cultivation, but yields has not increased for beneficiaries compared to non beneficiaries. These combined results shed light on the reason of the missed impact. It could be reasonable to believe that the new plantation, in particular in the case of olives, has not yet reached full production. Therefore, we have reasons to believe on positive impacts in the future. Concerning some qualitative results, the extension of area under cultivation is strongly conditioned by the small farm size. This together with a thin land market makes extremely difficult the expansion beyond farm boundaries.

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Objectives This study sought to compare the unrestricted use of everolimus-eluting stents (EES) with sirolimus-eluting stents (SES) in patients undergoing percutaneous coronary intervention. Background It is unclear whether there are differences in safety and efficacy between EES and SES during long-term follow-up. Methods Using propensity score matching, clinical outcome was compared among 1,342 propensity score–matched pairs of patients treated with EES and SES. The primary outcome was a composite of death, MI, and target vessel revascularization. Results The median follow-up was 1.5 years with a maximum of 3 years. The primary outcome occurred in 14.9% of EES- and 18.0% of SES-treated patients up to 3 years (hazard ratio [HR]: 0.83, 95% confidence interval [CI]: 0.68 to 1.00, p = 0.056). All-cause mortality (6.0% vs. 6.5%, HR: 0.92, 95% CI: 0.68 to 1.25, p = 0.59) was similar, risks of myocardial infarction (MI) (3.3% vs. 5.0%, HR: 0.62, 95% CI: 0.42 to 0.92, p = 0.017), and target vessel revascularization (7.0% vs. 9.6%, HR: 0.75, 95% CI: 0.57 to 0.99, p = 0.039) were lower with EES than SES. Definite stent thrombosis (ST) (HR: 0.30, 95% CI: 0.12 to 0.75, p = 0.01) was less frequent among patients treated with EES. The reduced rate of MI with EES was explained in part by the lower risk of definite ST and the corresponding decrease in events associated with ST (HR: 0.25, 95% CI: 0.08 to 0.75, p = 0.013). Conclusions The unrestricted use of EES appears to be associated with improved clinical long-term outcome compared with SES. Differences in favor of EES are driven in part by a lower risk of MI associated with ST.

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Background Leg length inequality (LLI) was identified as a problem of total hip arthroplasty soon after its introduction. Leg lengthening is the most common form of LLI. Possible consequences are limping, neuronal dysfunction and aseptic component loosening. LLI can result in an increased strain both on the contralateral hip joint and on the abductor muscles. We assessed the influence of leg lengthening and shortening on walking capacity, hip pain, limping and patient satisfaction at 2-year follow-up. Methods 478 cases with postoperative lengthening and 275 with shortening were identified, and matched with three controls each. Rigorous adjustment for potential differences in baseline patient characteristics was performed by propensity-score matching of covariates. The arbitrarily defined desired outcomes were a walking capacity >60 minutes, no hip pain, no limping, and excellent patient satisfaction. Differences in not achieving the desired outcomes between the groups were expressed as odds ratios. Results In the lengthened case group, the odds ratio for not being able to walk for an hour was 1.70 (95% CI 1.28-2.26) for cases compared to controls, and the odds ratio for having hip pain at follow-up was 1.13 (95% CI 0.78-1.64). The odds ratio for limping was 2.08 (95% CI 1.55-2.80). The odds ratio for not achieving excellent patient satisfaction was 1.67 (95% CI 1.23-2.28). In the shortening case group, the odds ratio for not being able to walk for an hour was 1.23 (95% CI 0.84-1.81), and the odds ratio for having hip pain at follow-up was 1.60 (95% CI 1.05-2.44). The odds ratio for limping for cases was 2.61 (95% CI 1.78-3.21). The odds ratio for not achieving excellent patient satisfaction was 2.15 (95% CI 1.44-3.21). Conclusions Walking capacity, limping and patient satisfaction were all significantly associated with leg lengthening, whereas pain alleviation was not. In contrast, hip pain, limping and patient satisfaction were all significantly associated with leg shortening, whereas walking capacity was not.