9 resultados para Discontinuous regression

em Repositório digital da Fundação Getúlio Vargas - FGV


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This study assesses the impact of unconditional transfer resources on the health indicators of Brazilian municipalities. This transfer refers to the Participation Fund of Municipalities (FPM) where at least 15% of its value should be spent on public health. Based on a discontinuity of the rules of transfers, we explore Regression Discontinuous Design for the years 2002 to 2010, and find: (i) no significant effect of FPM on mortality reduction; (ii) a robust and significant reduction in morbidity, treated municipalities – on the right side of thresholds – on average have a per capita rate of morbidity 0.00821% lower than those on the left side of the cutoff points; (iii) the mechanisms through which a reduction on morbidity could be operated would be due to estimated increases in preventive measures such as consultations and medical and nurses visits, these were bigger for the treated group in, respectively, 0.32%, 0.038% and 0.039%.

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O sistema político brasileiro atual é marcado pelo número expressivo de partidos e também pelo forte trânsito interpartidário: hoje, mais de 30 partidos disputam eleições e, tanto em cargos do legislativo quanto do executivo, o número de políticos com filiação exclusiva a uma única legenda vem caindo consideravelmente. Nesse cenário, a investigação das características do processo de migração entre partidos torna-se fundamental para a melhor compreensão do sistema político-partidário brasileiro. Buscando aprofundar o conhecimento sobre esse tema, nos propusemos a responder duas questões: 1. Como o resultado das eleições municipais e estaduais afetam a decisão dos prefeitos e vereadores de permanecerem fiéis ou migrarem de partido? 2. Qual a eficácia das estratégias de migrar ou permanecer fiel? Para responder a essas questões, utilizamos dados das eleições municipais para prefeito e vereador de 2000 a 2012 e estimamos os efeitos descritos acima por meio do Desenho de Regressão Descontínua e também utilizando o método de Variáveis Instrumentais.

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We exploit a discontinuity in Brazilian municipal election rules to investigate whether political competition has a causal impact on policy choices. In municipalities with less than 200,000 voters mayors are elected with a plurality of the vote. In municipalities with more than 200,000 voters a run-off election takes place among the top two candidates if neither achieves a majority of the votes. At a first stage, we show that the possibility of runoff increases political competition. At a second stage, we use the discontinuity as a source of exogenous variation to infer causality from political competition to fiscal policy. Our second stage results suggest that political competition induces more investment and less current spending, particularly personnel expenses. Furthermore, the impact of political competition is larger when incumbents can run for reelection, suggesting incentives matter insofar as incumbents can themselves remain in office.

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This study will collaborate by bringing some detailed analysis and findings on a special case study of a discontinuous product development process, trying to answer how the discontinuous product development process takes place and the main factors that influence this process. Additionally, it tried to explore some explanations for the difficulties generally faced by the companies to sustain innovation. The case is about the Motorola cell phone RAZR V3, launched in 2004. RAZR V3 was noted by industry experts as game-changing feat of design and engineering, selling more than 110 million units by end of 2008 and recognized as one of the fastest selling products in the industry. The study uses a single case methodology, which is appropriate given the access to a phenomenon that happened inside corporate dominium and it is not easily accessed for academic studies, besides being a rare case of success in the cellular phone industry. In order to magnify the understanding of the phenomenon, the exploration was extended to contrast the RAZR development process and the standard product development process in Motorola. Additionally, it was integrated a longitudinal reflection of the company product development evolution until the next breakthrough product hitting the cellular phone industry. The result of the analysis shows that discontinuous products do not fit well traditional product development process (in this case, stage-gate). This result reinforces the results obtained on previous studies of discontinuous product development conducted by other authors. Therefore, it is clear that the dynamics of discontinuous product development are different from the continuous product development, requiring different treatment to succeed. Moreover, this study highlighted the importance of the management influence in all the phases of the process as one of the most important factors, suggesting a key component to be carefully observed in future researches. Some other findings of the study that were considered very important for a discontinuous product development process: have champions (who believe and protect the project) and not only one champion; create a right atmosphere to make flow the creative process; question paradigms to create discontinuous products; simple guiding light to focus the team; company culture that accepts and knows how to deal with risks; and undoubtedly, have a company strategy that understands the different dynamics of continuous and discontinuous product development processes and treat them accordingly.

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This dissertation deals with the problem of making inference when there is weak identification in models of instrumental variables regression. More specifically we are interested in one-sided hypothesis testing for the coefficient of the endogenous variable when the instruments are weak. The focus is on the conditional tests based on likelihood ratio, score and Wald statistics. Theoretical and numerical work shows that the conditional t-test based on the two-stage least square (2SLS) estimator performs well even when instruments are weakly correlated with the endogenous variable. The conditional approach correct uniformly its size and when the population F-statistic is as small as two, its power is near the power envelopes for similar and non-similar tests. This finding is surprising considering the bad performance of the two-sided conditional t-tests found in Andrews, Moreira and Stock (2007). Given this counter intuitive result, we propose novel two-sided t-tests which are approximately unbiased and can perform as well as the conditional likelihood ratio (CLR) test of Moreira (2003).

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This paper provides a systematic and unified treatment of the developments in the area of kernel estimation in econometrics and statistics. Both the estimation and hypothesis testing issues are discussed for the nonparametric and semiparametric regression models. A discussion on the choice of windowwidth is also presented.

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This paper considers two-sided tests for the parameter of an endogenous variable in an instrumental variable (IV) model with heteroskedastic and autocorrelated errors. We develop the nite-sample theory of weighted-average power (WAP) tests with normal errors and a known long-run variance. We introduce two weights which are invariant to orthogonal transformations of the instruments; e.g., changing the order in which the instruments appear. While tests using the MM1 weight can be severely biased, optimal tests based on the MM2 weight are naturally two-sided when errors are homoskedastic. We propose two boundary conditions that yield two-sided tests whether errors are homoskedastic or not. The locally unbiased (LU) condition is related to the power around the null hypothesis and is a weaker requirement than unbiasedness. The strongly unbiased (SU) condition is more restrictive than LU, but the associated WAP tests are easier to implement. Several tests are SU in nite samples or asymptotically, including tests robust to weak IV (such as the Anderson-Rubin, score, conditional quasi-likelihood ratio, and I. Andrews' (2015) PI-CLC tests) and two-sided tests which are optimal when the sample size is large and instruments are strong. We refer to the WAP-SU tests based on our weights as MM1-SU and MM2-SU tests. Dropping the restrictive assumptions of normality and known variance, the theory is shown to remain valid at the cost of asymptotic approximations. The MM2-SU test is optimal under the strong IV asymptotics, and outperforms other existing tests under the weak IV asymptotics.

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Economic performance increasingly relies on global economic environment due to the growing importance of trade and nancial links among countries. Literature on growth spillovers shows various gains obtained by this interaction. This work aims at analyzing the possible e ects of a potential economic growth downturn in China, Germany and United States on the growth of other economies. We use global autoregressive regression approach to assess interdependence among countries. Two types of phenomena are simulated. The rst one is a one time shock that hit these economies. Our simulations use a large shock of -2.5 standard deviations, a gure very similar to what we saw back in the 2008 crises. The second experiment simulate the e ect of a hypothetical downturn of the aforementioned economies. Our results suggest that the United States play the role of a global economy a ecting countries across the globe whereas Germany and China play a regional role.