792 resultados para Propensity score


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We analyze the migration behavior of graduates from UK universities with a focus on the salary benefits they receive from the migration process. We focus on sequential interregional migration and specifically examine the case of Science, Technology, Engineering and Mathematics (STEM) and Creative subject graduates. Our analysis differs from previous studies in that it accounts explicitly for migrant selectivity through propensity score matching, and it also classifies graduates into different migration behavior categories. Graduates were classified according to their sequential migration behavior first from their pre-university domicile to university and then from university to first job post-graduation. Our results show that ‘repeat migration’, as expected, is associated with the highest wage premium (around 15%). Other migration behaviors are also advantageous although this varies across different types of graduates. Creative graduates, for instance, do not benefit much from migration behaviors other than repeat migration. STEM graduates, on the contrary, benefit from both late migration and staying in the university area to work.

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Transferring low tech manufacturing jobs to cheap labour countries is often seen by part of the general public and policy makers as a step into the de-industrialization of the European economies. However, recent contributions have shown that the effects on home economies are rarely negative. Our paper contributes to this literature by examining how outward investments to developing and less developed countries (LDCs) affect home activities of French and Italian firms that turn multinational in the period analysed. The effects of these investments are also compared to the effects of investments to developed economies (DCs). The analysis is carried out by using propensity score matching. We find no evidence of a negative effect of outward investments to LDCs. In Italy they have a positive long term effect on value added and employment. For France we find a positive effect on the size of domestic output and employment.

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In the Eplerenone Post-Acute Myocardial Infarction Heart Failure Efficacy and Survival Study ( n = 6632), eplerenone- associated reduction in all- cause mortality was significantly greater in those with a history of hypertension ( Hx- HTN). There were 4007 patients with Hx- HTN ( eplerenone: n = 1983) and 2625 patients without Hx- HTN ( eplerenone: n = 1336). Propensity scores for eplerenone use, separately calculated for patients with and without Hx- HTN, were used to assemble matched cohorts of 1838 and 1176 pairs of patients. In patients with Hx- HTN, all- cause mortality occurred in 18% of patients treated with placebo ( rate, 1430/ 10 000 person- years) and 14% of patients treated with eplerenone ( rate, 1058/ 10 000 person- years) during 2350 and 2457 years of follow- up, respectively ( hazard ratio [ HR]: 0.71; 95% CI: 0.59 to 0.85; P < 0.0001). Composite end point of cardiovascular hospitalization or cardiovascular mortality occurred in 33% of placebo-treated patients ( 3029/ 10 000 person- years) and 28% of eplerenone- treated patients (2438/10 000 person- years) with Hx- HTN ( HR: 0.82; 95% CI: 0.72 to 0.94; P = 0.003). In patients without Hx- HTN, eplerenone reduced heart failure hospitalization ( HR: 73; 95% CI: 0.55 to 0.97; P = 0.028) but had no effect on mortality ( HR: 0.91; 95% CI: 0.72 to 1.15; P = 0.435) or on the composite end point ( HR: 0.91; 95% CI: 0.76 to 1.10; P = 0.331). Eplerenone should, therefore, be prescribed to all of the post - acute myocardial infarction patients with reduced left ventricular ejection fraction and heart failure regardless of Hx- HTN.

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Education, as an indispensable component of human capital, has been acknowledged to play a critical role in economic growth, which is theoretically elaborated by human capital theory and empirically confirmed by evidence from different parts of the world. The educational impact on growth is especially valuable and meaningful when it is for the sake of poverty reduction and pro-poorness of growth. The paper re-explores the precious link between human capital development and poverty reduction by investigating the causal effect of education accumulation on earnings enhancement for anti-poverty and pro-poor growth. The analysis takes the evidence from a well-known conditional cash transfer (CCT) program — Oportunidades in Mexico. Aiming at alleviating poverty and promoting a better future by investing in human capital for children and youth in poverty, this CCT program has been recognized producing significant outcomes. The study investigates a short-term impact of education on earnings of the economically disadvantaged youth, taking the data of both the program’s treated and untreated youth from urban areas in Mexico from 2002 to 2004. Two econometric techniques, i.e. difference-in-differences and difference-in-differences propensity score matching approach are applied for estimation. The empirical analysis first identifies that youth who under the program’s schooling intervention possess an advantage in educational attainment over their non-intervention peers; with this identification of education discrepancy as a prerequisite, further results then present that earnings of the education advantaged youth increase at a higher rate about 20 percent than earnings of their education disadvantaged peers over the two years. This result indicates a confirmation that education accumulation for the economically disadvantaged young has a positive impact on their earnings enhancement and thus inferring a contribution to poverty reduction and pro-poorness of growth.

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Using data from 2000-2011, the effects of a new IKEA store on retail revenues, employment, and inflow of purchasing power in the entry municipalities, as well as in neighboring municipalities were investigated. A propensity score matching method was used to find non IKEA entry municipalities that were as similar as possible to the entry municipalities based on the situation before entry. Our results indicate that IKEA-entry increased entry-municipality durable-goods revenues by about 20% and employment by about 17%. Only small and, in most cases, statistically insignificant effects were found in neighboring municipalities.

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This study analyses the effects of firm relocation on firm profits, using longitudinal data on Swedish limtied liability firms and employing a difference-in-differnce propensity score method in the empirical analysis. Using propensity score matching, the pre-relocalization differneces between relocating and non-relocating firms are balanced. In addition to that, a difference-in-difference estimator is employed in order to control for all time-invariant unobserved heterogeneity among firms. For matching, nearest neighbour matching, using the one-, two- and three nearest neighbours is employed. The balanacing results indicate that matching achieves a good balance, and that similar relocating and non-relocating firms are being compared. The estimated average treatment on the treatment effects indicate thats relocations has a significant effect on the profits of the relocating firms. In other words, firms taht relocate increase their profits significantly, in comparison to what the profits would be had the firms not relocated. This effect is estimated to vary between 3 to 11 percentage points, depending on the lenght of the analysed period after relocation. 

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This thesis consists of a summary and five self-contained papers addressing dynamics of firms in the Swedish wholesale trade sector. Paper [1] focuses upon determinants of new firm formation in the Swedish wholesale trade sector, using two definitions of firms’ relevant markets, markets defined as administrative areas, and markets based on a cost minimizing behavior of retailers. The paper shows that new entering firms tend to avoid regions with already high concentration of other firms in the same branch of wholesaling, while right-of-the-center local government and quality of the infrastructure have positive impacts upon entry of new firms. The signs of the estimated coefficients remain the same regardless which definition of relevant market is used, while the size of the coefficients is generally higher once relevant markets delineated on the cost-minimizing assumption of retailers are used. Paper [2] analyses determinant of firm relocation, distinguishing between the role of the factors in in-migration municipalities and out-migration municipalities. The results of the analysis indicate that firm-specific factors, such as profits, age and size of the firm are negatively related to the firm’s decision to relocate. Furthermore, firms seems to be avoiding municipalities with already high concentration of firms operating in the same industrial branch of wholesaling and also to be more reluctant to leave municipalities governed by right-of-the- center parties. Lastly, firms seem to avoid moving to municipalities characterized with high population density. Paper [3] addresses determinants of firm growth, adopting OLS and a quantile regression technique. The results of this paper indicate that very little of the firm growth can be explained by the firm-, industry- and region-specific factors, controlled for in the estimated models. Instead, the firm growth seems to be driven by internal characteristics of firms, factors difficult to capture in conventional statistics. This result supports Penrose’s (1959) suggestion that internal resources such as firm culture, brand loyalty, entrepreneurial skills, and so on, are important determinants of firm growth rates. Paper [4] formulates a forecasting model for firm entry into local markets and tests this model using data from the Swedish wholesale industry. The empirical analysis is based on directly estimating the profit function of wholesale firms and identification of low- and high-return local markets. The results indicate that 19 of 30 estimated models have more net entry in high-return municipalities, but the estimated parameters is only statistically significant at conventional level in one of our estimated models, and then with unexpected negative sign. Paper [5] studies effects of firm relocation on firm profits of relocating firms, employing a difference-in-difference propensity score matching. Using propensity score matching, the pre-relocalization differences between relocating and non-relocating firms are balanced, while the difference-in-difference estimator controls for all time-invariant unobserved heterogeneity among firms. The results suggest that firms that relocate increase their profits significantly, in comparison to what the profits would be had the firms not relocated. This effect is estimated to vary between 3 to 11 percentage points, depending on the length of the analyzed period. 

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IKEA is one of the world’s largest retailers, but little is known about how IKEA impact incumbent retailers when deciding to enter a local market. Previous studies on the effects of big-box entry on surrounding retailers have also generated inconclusive results, and mainly been focused towards entry of Wal-Mart in the United States. We contribute to this literature by investigating the effects of IKEA entry on revenues and employment for incumbent retail firms in three Swedish municipalities during 2000-2010. Our results indicate that a new IKEA store increases average revenues for incumbent retailers within the entry municipality by 11%, but also that the effect is highly heterogeneous within the municipality. Retailers that were located up to 1 km from IKEA experienced a 26% increase in revenues when IKEA entered the municipality. However, the positive spillover effect of a new IKEA store on retail revenues diminished with the distance to IKEA, and turned insignificant for retailers in the city centers and those that were located 5-10 km from IKEA. The effects on employment were much less pronounced, and in most cases statistically insignificant.

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We consider methods for estimating causal effects of treatment in the situation where the individuals in the treatment and the control group are self selected, i.e., the selection mechanism is not randomized. In this case, simple comparison of treated and control outcomes will not generally yield valid estimates of casual effects. The propensity score method is frequently used for the evaluation of treatment effect. However, this method is based onsome strong assumptions, which are not directly testable. In this paper, we present an alternative modeling approachto draw causal inference by using share random-effect model and the computational algorithm to draw likelihood based inference with such a model. With small numerical studies and a real data analysis, we show that our approach gives not only more efficient estimates but it is also less sensitive to model misspecifications, which we consider, than the existing methods.

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Nas últimas décadas a frequência à escola entre os jovens brasileiros aumentou consideravelmente. A porcentagem de crianças, entre 10 e 14 anos de idade que estão matriculados na escola está acima de 95% e na faixa de 15 a 18 anos de idade, cerca de 70%. Vinte anos atrás estes números eram 80% e 50%, respectivamente. Por outro lado, quando se analisa os dados de participação na força de trabalho o quadro é menos otimista: para ambos os grupos, a participação é bastante elevada e tem apresentado comportamento estável ao longo dos anos. Este estuda analisa o efeito da participação no mercado de trabalho sobre o atraso escolar de crianças de nestes dois grupos de faixa etária utilizando a metodologia de emparelhamento por nota de propensão (propensity score matching) de participação no mercado de trabalho. Como seria de se esperar quanto maior a probabilidade de participar maior o atraso escolar. Mas, nosso principal resultado é que em ambos os grupos e mais acentuadamente para os mais jovens, a diferença de atraso entre os que participam e não participam do mercado de trabalho é mais elevado para valores intermediários de probabilidade de trabalhar. Nos valores extremos da distribuição as diferenças não são tão elevadas e muitas vezes não significantes estatisticamente. Isto significa que para os jovens com elevada probabilidade de participar no mercado de trabalho, e que são os que têm o mais elevado grau de atraso escolar, o trabalho em si não é a maior razão para este mal desempenho. Estes resultados sugerem que as políticas públicas para combate ao atraso escolar entre os grupos mais pobres deveriam ser mais abrangentes envolvendo uma ação mais ampla sobre a família e não apenas na erradicação do trabalho infantil e juvenil.

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O objetivo deste trabalho é avaliar o seguinte contra factual: como teria sido o desempenho escolar das crianças que trabalham, caso tivessem sido efetivamente proibidas de trabalhar? Uma vez que não é possível observar as crianças que trabalham na situação de não-trabalho, a estratégia adotada consistiu em. construir um grupo de controle através do matching do propensity score (nearest-neighbor matching). Os dados utilizados neste estudo foram obtidos a partir de uma amostra da PME (Pesquisa Mensal de Emprego) para seis regiões metropolitanas do Brasil - constituída por crianças com idade entre 1 O e 14 anos acompanhadas por dois anos consecutivos ao longo do período de 1984 à 1997. Os resultados obtidos apontam para um impacto negativo do trabalho sobre o desempenho escolar das crianças que trabalham - embora em intensidade diferenciada segundo o indicador de desempenho utilizado. As estimativas para probabilidade de aprovação e para o progresso escolar sugerem um efeito negativo do trabalho, porém bem menor do que é geralmente observado. O que não ocorre com para a probabilidade de evasão - o trabalho explica quase a totalidade da diferença observada na probabilidade de evasão entre as crianças que trabalham e as demais. Os resultados sugerem, portanto, que se a legislação que proíbe o trabalho infantil fosse rigorosamente cumprida as crianças que trabalham apresentariam em média um melhor desempenho escolar

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This paper presents semiparametric estimators of changes in inequality measures of a dependent variable distribution taking into account the possible changes on the distributions of covariates. When we do not impose parametric assumptions on the conditional distribution of the dependent variable given covariates, this problem becomes equivalent to estimation of distributional impacts of interventions (treatment) when selection to the program is based on observable characteristics. The distributional impacts of a treatment will be calculated as differences in inequality measures of the potential outcomes of receiving and not receiving the treatment. These differences are called here Inequality Treatment Effects (ITE). The estimation procedure involves a first non-parametric step in which the probability of receiving treatment given covariates, the propensity-score, is estimated. Using the inverse probability weighting method to estimate parameters of the marginal distribution of potential outcomes, in the second step weighted sample versions of inequality measures are computed. Root-N consistency, asymptotic normality and semiparametric efficiency are shown for the semiparametric estimators proposed. A Monte Carlo exercise is performed to investigate the behavior in finite samples of the estimator derived in the paper. We also apply our method to the evaluation of a job training program.

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This work consists of three essays organized into chapters that seek to answer questions at first sight unrelated, but with one common denominator, which is the scarcity of public resources devoted to education, overall, especially in lower education. . The first chapter deals with the scarcity of resources devoted to education in a context of population aging. Two hypotheses were tested for Brazilian municipalities on the relationship between the aging of the population and educational expenditure. The first, already proven in the literature, is that there is an intergenerational conflict for resources and the increase of the share of elderly in the population reduces the educational expenditure. The second, proposed here for the first time, is that there should be reduction of competition for resources if there is a relationship of co-residence between young and old. The results indicated that an increase in the share of elderly reduces the educational expenditure per youth. But the results also illustrate that an increase in the share of elderly co-residing with youth (family arrangement more common in Latin American countries) raises the educational expenditure, which reflects a reduction of competition for resources between generations. The second chapter assesses the allocative efficiency of investments in Higher Education. Using the difference between first-year and last-year students’ scores from Enade aggregated by HEI as a product in the Stochastic Production Function, is possible to contribute with a new element in the literature aimed at estimating the production function of education. The results show that characteristics of institutions are the variables that best explain the performance of students, and that public institutions are more inefficient than the private ones. Finally, the third chapter presents evidence that the allocation of public resources in early childhood education is important for a better future school performance. In this chapter was calculated the effects of early childhood education on literacy scores of children attending the 2nd grade of elementary school. The results using OLS and propensity score matching show that students who started school at the ages to 5, 4, and 3 years had literacy scores between 12.22 and 19.54 points higher than the scores of those who began school at the ages 6 years or late. The results also suggest that the returns in terms of literacy scores diminish in relation to the number of years of early childhood education.

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Este artigo propõe estimar o impacto dos programas de transferência condicionada de renda sobre proficiência dos alunos no Brasil. A literatura de transferência condicionada de renda já mostrou bastantes evidências do impacto desse tipo de programa social sobre acesso e matrícula escolar. Porém, muito pouco se sabe sobre o efeito dessas políticas sobre medidas finais de capital humano como proficiência. Além disso, esse estudo também se insere na literatura de avaliação de impacto de políticas públicas sobre proficiência. Nós diagnosticamos em nosso trabalho importantes relações que envolvem a seleção desse tipo de programa e as características descritivas básicas e distintas do grupo de recipientes. Os recipientes do programa geralmente possuem características socioeconômicas menos favoráveis e notas de proficiência mais baixas, mesmo quando controlado por características socioeconômicas observáveis. Para estimar o efeito causal, fazemos uso de uma oportunidade única de construção de um painel de alunos. Exploramos modelos de estimadores de efeito fixo, diferença em diferença e extensões, como diferenças triplas e diferenças em diferenças combinada com reponderação baseada no propensity score. Os resultados, em geral, apontam que não há impacto desse tipo programa em notas de proficiência de matemática e português.

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Programas de bônus para servidores de escolas públicas, visando estimular a melhoria da aprendizagem dos alunos, foram adotados por diferentes estados brasileiros entre 2008 e 2011. A presente pesquisa teve como objetivo avaliar o impacto desses programas em três dimensões: 1. práticas pedagógicas dos professores; 2. absenteísmo e rotatividade dos professores ou visão do diretor ou professor sobre a assiduidade e rotatividade do professor; 3. interlocução com familiares para garantir a frequência dos alunos. A coleta de dados foi feita a partir dos questionários da Prova Brasil, respondidos por diretores, professores e alunos das escolas do grupo de tratamento e do grupo controle. Foram considerados na análise: a variação no ano de implementação dos programas (dose), seus diferentes desenhos (tipo) e a série/ano dos alunos (série) que responderam a Prova Brasil. A abordagem metodológica adotada para a análise proposta foi a de pareamento pelo escore de propensão, seguido do cálculo de diferenças em diferenças, entre os Estados que implementaram a política e os que não adotaram. Os resultados variam de acordo com a série e dose, havendo impacto positivo para algumas categorias de análise na dimensão 1, relacionado à frequência com que professores corrigem o dever de casa. Na dimensão 2, os resultados apontam para uma redução de preocupação dos diretores com a rotatividade dos professores e aumento da percepção de que o absenteísmo dos docentes é um problema na realidade escolar pública brasileira. Quanto à dimensão 3, os dados revelam, de modo geral, ausência de impacto. Permanece a dúvida sobre a eficiência e a eficácia do estímulo financeiro para produzir mudanças no comportamento dos professores e diretores que possam promover resultados intermediários na melhoria da aprendizagem dos alunos.