Academic literature on the topic 'Regressão tobit'
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Journal articles on the topic "Regressão tobit"
Maciel, Harine Matos, Ahmad Saeed Khan, and Leonardo Andrade Rocha. "Determinantes da ecoeficiência: uma análise através da regressão Tobit." Revista Ibero-Americana de Ciências Ambientais 9, no. 2 (September 20, 2017): 365–81. http://dx.doi.org/10.6008/cbpc2179-6858.2018.002.0029.
Full textPortella, Vitória Rosa, Rodolfo Rocha Dos Santos, and José Alonso Borba. "EFICIÊNCIA DOS INVESTIMENTOS DAS PRESTADORAS DE SERVIÇO DE SANEAMENTO DOS MUNICÍPIOS DE SANTA CATARINA." Revista de Contabilidade da UFBA 12, no. 2 (June 1, 2018): 42. http://dx.doi.org/10.9771/rc-ufba.v12i2.23292.
Full textMelonio, Antonio Marcos Correia, and Vander Mendes Lucas. "ANÁLISE DE EFICIÊNCIA DAS IFES NO USO DE RECURSOS FINANCEIROS: UMA APLICAÇÃO DEA EM DOIS ESTÁGIOS." Revista de Ciências da Administração 21, no. 55 (November 5, 2020): 86–100. http://dx.doi.org/10.5007/2175-8077.2019v21n55p86.
Full textSilva, Clayton Robson Moreira da, Ivaneide Ferreira Farias, Davi Sampaio Marques, Maria Maciléya Azevedo Freire, and Daniel Barboza Guimarães. "A Influência dos Gastos Públicos sobre a Eficiência na Utilização das Receitas nas Unidades da Federação Brasileira." Sociedade, Contabilidade e Gestão 14, no. 1 (February 11, 2019): 135–57. http://dx.doi.org/10.21446/scg_ufrj.v0i0.18625.
Full textHolanda, Allan Pinheiro, and Antonio Carlos Dias Coelho. "Dividendos e efeito clientela: evidências no mercado brasileiro." Revista de Administração de Empresas 52, no. 4 (August 2012): 448–63. http://dx.doi.org/10.1590/s0034-75902012000400007.
Full textNascimento, Sandro de Freitas, Fernando Caio Galdi, and Silvania Neris Nossa. "Motivações determinantes para a recompra de ações: um estudo empírico no mercado de ações brasileiro no período de 1995 a 2008." RAM. Revista de Administração Mackenzie 12, no. 5 (October 2011): 98–121. http://dx.doi.org/10.1590/s1678-69712011000500005.
Full textGramani, Maria Cristina. "A desigualdade socioeconômica afeta mais municípios menos favorecidos?" Cadernos de Pesquisa 47, no. 164 (June 2017): 470–94. http://dx.doi.org/10.1590/198053144220.
Full textMoreira, Ney Paulo, Nina Rosa da Silveira Cunha, Marco Aurélio Marques Ferreira, and Suely de Fátima Ramos Silveira. "Fatores determinantes da eficiência dos programas de pós-graduação acadêmicos em Administração, Contabilidade e Turismo." Avaliação: Revista da Avaliação da Educação Superior (Campinas) 16, no. 1 (March 2011): 201–30. http://dx.doi.org/10.1590/s1414-40772011000100011.
Full textReis, Carlos Vinícius Santos, Tito Belchior Silva Moreira, and Olivier François Vilpoux. "Fatores que Afetam a Eficiência Técnica de Produção em Assentamentos Rurais: fronteira estocástica e Two-Limit Tobit." Revista de Economia e Sociologia Rural 56, no. 3 (September 2018): 411–24. http://dx.doi.org/10.1590/1234-56781806-94790560303.
Full textForti, Cristiano Augusto Borges, and Kellen Silva Freitas. "Relação entre os dividendos e a classificação de rating de empresas brasileiras." Revista Contemporânea de Contabilidade 17, no. 42 (May 20, 2020): 120–37. http://dx.doi.org/10.5007/2175-8069.2020v17n42p120.
Full textDissertations / Theses on the topic "Regressão tobit"
Rocha, Gustavo Henrique Mitraud Assis. "Modelos de regressão t-Tobit com erros nas covariáveis." Universidade Federal de Minas Gerais, 2014. http://hdl.handle.net/1843/BUBD-9UNGM5.
Full textNeste trabalho é desenvolvida uma análise de regressão linear considerando que a variável dependente é censurada e também que algumas das variáveis explicativas são medidas com erros aditivos. Esse modelo de regressão censurado com erros de medidas é especificado assumindo distribuições com cauda pesada para o processo probabilístico. Especificamente, assume-se uma distribuição t-Student multivariada para modelar o comportamento conjunto dos erros e das verdadeiras covariáveis não observadas. Nesse sentido, o modelo será robusto o suficiente para proteger as inferências de observações atípicas e influentes. Para a estimação do modelo considera-se a metodologia de máxima verossimilhança, em que inclui-se a estimação da variância assintótica dos estimadores de máxima verossimilhança e também desenvolve-se um algoritmo do tipo EM para obter as estimativas, e também o paradigma bayesiano, onde considera-se o procedimento de aumento de dados e desenvolve-se um algoritmo MCMC para amostrar das distribuições a posteriori. A metodologia proposta flexível o bastante para ser adaptada para distribuições com caudas pesadas vindas da classe de misturas de escala da distribuição normal. A performance da nova metodologia desenvolvida é avaliada através de um estudo Monte Carlo e também de uma análise de um estudo de caso.
Correia, Leandro Tavares. "Modelos de regressão estáticos e dinâmicos para taxas ou proporções: uma abordagem bayesiana." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27082015-224138/.
Full textThis paper presents a study focused on observations in a limited interval , more specifically in [0,1] , such as rate and proportion data. In many practical cases this data structure has a considerable amount of extreme values (0 and 1) and usual classical models are not suitable for this type of data set. We propose two class of regression models to deal with this context: beta inflated of zeros and ones (BIZU) models and Tobit doubly censored models adapted in this interval. Fit quality and diagnostic techniques are also discussed. Time series of proportions are also developed through Bayesian dynamic models. Forecasting and behavioral analysis were explored using sequential Monte Carlo techniques, known as particle filters. Particularities and competitiveness between the two classes of models were also discussed as well.
Marques, Rafael. "Eficiência em operações de serviços: métrica de avaliação e identificação dos impactos da participação do cliente." Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6457.
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A melhoria da eficiência e da produtividade nas operações tornou-se um desafio constante para as empresas de serviços. Apesar da relevância do tema, trabalhos que exploram a eficiência e produtividade em operações de serviços, por meio de elementos objetivos, são escassos na literatura. Ademais, pesquisas que abordam eficiência e produtividade têm sido direcionadas para o ambiente de manufatura. Neste sentido, a avaliação da eficiência nas operações de serviços, baseado em elementos concretos, torna-se uma importante ferramenta para as empresas tomarem decisões. Este estudo analisa a eficiência e as influências dos clientes na operação de uma locadora de veículos. A eficiência foi analisada longitudinalmente baseada na avaliação dos contratos de serviços por meio da Análise Envoltória de Dados (DEA) e Análise de Variância (ANOVA). Três perspectivas foram consideradas na análise da eficiência, a saber: perspectiva do cliente, perspectiva do prestador de serviços e perspectiva integrada. As influências dos clientes na operação foram analisadas por meio da técnica estatística Regressão Tobit. Os resultados mostram que a eficiência na perspectiva dos clientes é significativamente diferente da eficiência para o prestador de serviços e eficiência integrada. Ainda, observa-se que os clientes influenciam, substancialmente, a eficiência da operação do serviço por meio de suas características.
The efficiency and productivity improvement in operations has become a constant challenge for companies and services. Although the relevance of this issue, there are few academic works regarding efficiency and productivity in service operations by objective elements. Moreover, researches concerning efficiency and productivity have been oriented to manufacture environment. In this sense, the efficiency evaluation in the service operations based on concrete elements becomes an important tool for the decision making of companies. This paper analyses the efficiency and the influence of clients in the operation of a car rental company. The efficiency was longitudinally analyzed based on the evaluation of service contracts by the Data Envelopment Analysis (DEA) and Analysis of Variance (ANOVA). Three perspectives were considered in the efficiency analysis: client perspective, service provider perspective and integrated perspective. The influences of the clients in the operation were analyzed by Tobit Regression statistic technique. The results show that the efficiency based on the client perspective is significantly different from the ones from service provider and integrated perspectives. Moreover, it is observed that the clients influenced significantly the efficiency in service operations through its characteristics.
Brasil, João Eduardo Sampaio. "Variáveis sistemicamente prevalentes para a eficiência técnica: avaliação da operação de um forno de reaquecimento no setor siderúrgico." Universidade do Vale do Rio dos Sinos, 2018. http://www.repositorio.jesuita.org.br/handle/UNISINOS/7409.
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O Brasil precisa de um setor siderúrgico eficiente e competitivo para enfrentar a concorrência externa. A siderurgia é um ramo da metalurgia responsável pela fabricação do aço, e dentre os processos produtivos do setor, destaca-se o processo de laminação do aço, que utiliza fornos de reaquecimento. Esta pesquisa emprega a modelagem com as técnicas do Pensamento Sistêmico e da Dinâmica de Sistemas na formulação de um modelo computacional no contexto dos fornos de reaquecimento. A partir da validação do modelo, são utilizadas a Análise Envoltória de dados, para avaliar a eficiência técnica, e a regressão Tobit, para identificar variáveis estatisticamente significantes. Essas variáveis são usadas para definição dos cenários simulados. Posteriormente, as eficiências dos cenários são avaliadas por meio de estatística descritiva. Também são avaliados alvos e folgas e é testada a hipótese de igualdade da média com o teste de Welch e Post-Hoc Kruskal-Wallis. Finalmente, é realizada a análise explicativa e, com a aplicação da técnica computacional da Rede Neural Artificial, são identificadas as variáveis prevalentes da eficiência técnica do forno de reaquecimento. Tal estudo possibilita e estimula o planejamento, a gestão e a tomada de decisão a partir da análise das melhores opções. Permite, ainda, a tomada de ações com base no conhecimento prévio, contribuindo para iniciativas pontuais e focadas na competitividade.
Brazil needs an efficient and competitive steel sector to face external competition. The siderurgy is a branch of metallurgy responsible for steelmaking, and among the productive processes in the industry the steelmaking process that uses the reheating furnaces can be highlighted. This research employs the modeling with the techniques of Systemic Thinking and Systems Dynamics in the formulation of a computational model in the context of reheating furnaces. Then, using the validated model, Data Envelopment Analysis was used, evaluating the technical efficiency and the use of the Tobit regression of statistically significant variables. These variables are used to define the simulated scenarios. Subsequently, the scenarios efficiencies were evaluated by means of descriptive statistics, evaluated targets and backlash and tested the hypothesis of equality of the average with the test of Welch and Post-Hoc Kruskal-Wallis. Finally, the explanatory analysis and identified with the application of the computational technique of the Artificial Neural Network are the prevalent variables of the technical efficiency of the reheating furnace. This study enables and stimulates planning, management and decision making based on the analysis of the best options and allows the taking of actions based on previous knowledge, and thus contributes to specific initiatives focused on competitiveness.
Orlandi, Daniele de Paula, and 0000000212953461. "Análise dos impactos da EBSERH no desempenho dos hospitais universitários federais." Universidade Federal do Espírito Santo, 2016. http://repositorio.ufes.br/handle/10/8676.
Full textO presente estudo investigou o impacto da adesão dos Hospitais Universitários Federais à Empresa Brasileira de Serviços Hospitalares (EBSERH) no desempenho assistencial e de ensino considerando os três estágios do processo de transição. A amostra foi composta por 32 hospitais universitários federais entre 2011 e 2015. Destes, 24 aderiram contratualmente à EBSERH e 8 não aderiram. Foi utilizado um modelo da análise envoltória de dados (DEA) para estimar o desempenho dos hospitais e, no segundo estágio, o escore obtido foi aplicado como variável dependente em modelo de regressão Tobit (truncado entre 0 e 1) com indicadores hospitalares e de ensino como variáveis independentes. Os resultados obtidos mostraram que a gestão pela EBSERH não impacta estatisticamente os escores de eficiência dos hospitais avaliados em nenhum dos estágios do processo de transição. Todavia, as variáveis funcionários por leito e intensidade de ensino mostraram associação positiva com o desempenho dos hospitais e as variáveis tempo médio de permanência e dedicação ao ensino tiveram comportamento contrário. Novas análises do impacto da adesão dos hospitais à EBSERH devem ser realizadas após ampla consolidação da empresa como forma de avaliar a política de gestão desse importante segmento da prestação de serviços públicos a longo prazo
The present study investigated the impact of the adherence of the Federal University Hospitals to the Hospital Service Brazilian Company (EBSERH) in the care and teaching execution considering the three phases of the transition process. The pattern was composed of 32 federal university hospitals between 2011 and 2015. Among those, 24 adhered contractually to the EBSERH and 8 did not adhere. A model of the data envoltory analysis was used (DEA) to estimate the execution of the hospitals and, in the second phase, the obtained score was applied as dependent variable in Tobit regression model (truncate between 0 and 1) with hospital and teaching indicators as independent variables. The obtained results showed that the administration by the HSBC does not impact statistically the efficiency scores of the evaluated hospitals in none of the transition process phases. Nonetheless, the employees for bed and teaching intensity variables showed positive association with the execution of the hospitals and the average time of stay and dedication to the teaching variables had opposed behavior. New analysis of the impact of the adherence of the hospitals to the HSBC must be done after wide consolidation of the company as a way to evaluate the administration policy of such an important segment of the public services at long term
Chen, Chunxia. "Semi-parametric estimation in Tobit regression models." Kansas State University, 2013. http://hdl.handle.net/2097/15300.
Full textDepartment of Statistics
Weixing Song
In the classical Tobit regression model, the regression error term is often assumed to have a zero mean normal distribution with unknown variance, and the regression function is assumed to be linear. If the normality assumption is violated, then the commonly used maximum likelihood estimate becomes inconsistent. Moreover, the likelihood function will be very complicated if the regression function is nonlinear even the error density is normal, which makes the maximum likelihood estimation procedure hard to implement. In the full nonparametric setup when both the regression function and the distribution of the error term [epsilon] are unknown, some nonparametric estimators for the regression function has been proposed. Although the assumption of knowing the distribution is strict, it is a widely adopted assumption in Tobit regression literature, and is also confirmed by many empirical studies conducted in the econometric research. In fact, a majority of the relevant research assumes that [epsilon] possesses a normal distribution with mean 0 and unknown standard deviation. In this report, we will try to develop a semi-parametric estimation procedure for the regression function by assuming that the error term follows a distribution from a class of 0-mean symmetric location and scale family. A minimum distance estimation procedure for estimating the parameters in the regression function when it has a specified parametric form is also constructed. Compare with the existing semiparametric and nonparametric methods in the literature, our method would be more efficient in that more information, in particular the knowledge of the distribution of [epsilon], is used. Moreover, the computation is relative inexpensive. Given lots of application does assume that [epsilon] has normal or other known distribution, the current work no doubt provides some more practical tools for statistical inference in Tobit regression model.
Liu, Shan. "Model checking in Tobit regression model via nonparametric smoothing." Kansas State University, 2012. http://hdl.handle.net/2097/13790.
Full textDepartment of Statistics
Weixing Song
A nonparametric lack-of-fit test is proposed to check the adequacy of the presumed parametric form for the regression function in Tobit regression models by applying Zheng's device with weighted residuals. It is shown that testing the null hypothesis for the standard Tobit regression models is equivalent to test a new null hypothesis of the classic regression models. An optimal weight function is identified to maximize the local power of the test. The test statistic proposed is shown to be asymptotically normal under null hypothesis, consistent against some fixed alternatives, and has nontrivial power for some local nonparametric power for some local nonparametric alternatives. The finite sample performance of the proposed test is assessed by Monte-Carlo simulations. An empirical study is conducted based on the data of University of Michigan Panel Study of Income Dynamics for the year 1975.
Tchamo, Sílvia Dida Jeremias. "A eficiência dos aeroportos de Moçambique no período de 2004 a 2010." Master's thesis, Instituto Superior de Economia e Gestão, 2011. http://hdl.handle.net/10400.5/10199.
Full textA eficiência aeroportuária tem sido uma temática bastante discutida nos últimos anos devido a sua grande importância como indicador de desempenho. Existe uma grande diversidade de pesquisas nesta área, relativamente aos aeroportos de vários cantos do mundo, recorrendo ao uso de uma infinidade de metodologias. No entanto, no continente africano, a literatura nesta área se afigura ainda bastante incipiente. Sobre a eficiência aeroportuária em Moçambique existe apenas um estudo publicado em junho do presente ano. A presente pesquisa avalia a eficiência dos aeroportos de Moçambique no período de 2004 a 2010 com recurso a metodologia Data Envelopment Analysis. Os objectivos do trabalho circunscrevem-se em a) descrever e analisar a performance aeroportuária dos aeroportos moçambicanos através de índices de eficiência do modelo CCR e BCC obtidos pelo DEA e b) avaliar quais factores podem explicar os índices de eficiência CCR encontrados no primeiro objectivo, por meio de uma regressão Tobit com bootstrapping. Os factores em análise compreenderam: o PIB percapita, o turismo, a % de tráfego internacional, a característica hub/spoke e a localização do aeroporto. Os resultados do estudo apontaram para uma eficiência relativa elevada em seis dos dez aeroportos estudados. Concluiu-se ainda, que o turismo e a % de tráfego internacional são factores com influência estatisticamente significativa e positiva na eficiência dos aeroportos moçambicanos.
The airport efficiency has been a subject much discussed in recent years due to its importance as an indicator of performance. There is a wide diversity of research in this area, for several airports around the world, resorting to the use of a multitude of methodologies. However, in Africa, the literature in this area appears to be still very low, while in Mozambique there is only one research on the subject. This study evaluates the efficiency of airports in Mozambique in the period 2004 to 2010 using Data Envelopment Analysis methodology. The objectives of the work is confined to a) describe and analyze the performance of airport Mozambican airports using index of efficiency obtained by the CCR and BCC DEA models and b) assess which factors may explain the CCR efficiency index found in the first goal, by using a Tobit regression with bootstrapping. The factors analyzed included: per capita GDP, tourism, % of international traffic, the hub feature and the location of airports. Study results pointed to a high relative efficiency in six of the ten airports studied. The tourism and the % of international traffic proved to be the factors with statistically significant and positive influence on the efficiency of the Mozambican airports.
Leiker, Antoinette. "A comparison study on the estimation in Tobit regression models." Kansas State University, 2012. http://hdl.handle.net/2097/13804.
Full textDepartment of Statistics
Weixing Song
The goal of this report is to compare various estimation procedures on regression models in which the dependent variable has a restricted range. These models, called Tobit models, are seeing an increase in use among economists and market researchers, specifically. Only the standard Tobit regression model is discussed in the report. First we will examine the five estimation methods discussed in Amemiya (1984) for standard Tobit model. These methods include Probit maximum likelihood, least squares, Heckman’s two-step, Tobit maximum likelihood, and the EM algorithm. We will examine the algorithm utilized in each method’s estimation process. We will then conduct simulation studies using these estimation procedures. Twelve scenarios have been considered consisting of three different truncation threshold on the response variable, two distributions of covariates, and the error variance known and unknown. The results are reported and a discussion of the goodness of each method follows. The study shows that the best method for estimating Tobit regression models is indeed the Tobit maximum likelihood estimation. Heckman’s two-step method and the EM algorithm also estimate these models well when the truncation rate is low and the sample size is large. The simulation results show that the Least squares estimation procedure is far less efficient than other estimation procedures.
Zhang, Yi. "Empirical minimum distance lack-of-fit tests for Tobit regression models." Kansas State University, 2011. http://hdl.handle.net/2097/12123.
Full textDepartment of Statistics
Weixing Song
The purpose of this report is to propose and evaluate two lack-of-fit test procedures to check the adequacy of the regression functional forms in the standard Tobit regression models. It is shown that testing the null hypothesis for the standard Tobit regression models amounts testing a new equivalent null hypothesis of the classic regression models. Both procedures are constructed based on the empirical variants of a minimum distance, which measures the squared difference between a nonparametric estimator and a parametric estimator of the regression functions fitted under the null hypothesis for the new regression models. The asymptotic null distributions of the test statistics are investigated, as well as the power for some fixed alternatives and some local hypotheses. Simulation studies are conducted to assess the finite sample power performance and the robustness of the tests. Comparisons between these two test procedures are also made.
Books on the topic "Regressão tobit"
Iimi, Atsushi. Optimal Locational Choice for Agribusinesses in Madagascar: An Application of Spatial Autoregressive Tobit Regression. World Bank, Washington, DC, 2018. http://dx.doi.org/10.1596/29941.
Full textBook chapters on the topic "Regressão tobit"
Windzio, Michael. "Abgeschnittene, zensierte und selektive Daten: Tobit-Regression und Heckman-Modell." In Regressionsmodelle für Zustände und Ereignisse, 255–83. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-531-18852-2_10.
Full textHigano, Yoshiro. "Introduction: Real Estate Tax System and Real Estate Market in Japan." In New Frontiers in Regional Science: Asian Perspectives, 115–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8848-8_8.
Full textMishra, Shashi Bhusan. "Quality and Inequality of Elementary Education in the State of West Bengal of India." In Interdisciplinary Approaches to Public Policy and Sustainability, 124–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0315-7.ch007.
Full textConference papers on the topic "Regressão tobit"
Adarabioyo, Idowu, and Olushina Olawale Awe. "Application of Bayesian Tobit Regression to Global Radiation." In 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS). IEEE, 2020. http://dx.doi.org/10.1109/icmcecs47690.2020.240848.
Full textODAH, Meshal Harbi, Bahr KADHIM MOHAMMED, and Ali SADIG MOHOMMED BAGER. "Tobit Regression Model to Determine the Dividend Yield in Iraq." In 3rd Central & Eastern European LUMEN International Conference – New Approaches in Social and Humanistic Sciences | NASHS 2017| Chisinau, Republic of Moldova | June 8-10, 2017. LUMEN Publishing House, 2018. http://dx.doi.org/10.18662/lumproc.nashs2017.30.
Full textMekbunditkul, Titirut, Nantawarn Ramdacha, Parinya Klaicharoen, and Skulthip Anantarag. "Application of Tobit-Piecewise regression in Economics Data Consisting of Outliers." In International Conference on Economics and Management Innovations (ICEMI). Volkson Press, 2017. http://dx.doi.org/10.26480/icemi.01.2017.302.306.
Full textChen, Junmin, Nataliya Stoyanets, and Zetao Hu. "RESEARCH ON INFLUENCING FACTORS OF RURAL ENDOGENOUS DEVELOPMENT ABILITY BASED ON TOBIT MODEL." In 6th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eraz.2020.231.
Full textWulandari, Sartika Ayu, Ismaini Zain, and Santi Puteri Rahayu. "Modeling the household milk consumption data by endogenous Bayesian Tobit Quantile (BTQ) regression in sidoarjo." In 2018 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2018. http://dx.doi.org/10.1109/icoiact.2018.8350781.
Full textKim, Yonghee, Jeongil Choi, and Younsung Kim. "International Comparison on Operational Efficiency of Terrestrial TV Operators: Based on Bootstrapped DEA and Tobit Regression." In Business 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.84.07.
Full textKim, Yonghee, Jeongil Choi, and Youn Sung Kim. "International Comparison on Operational Efficiency of Terrestrial TV Operators: Based on Bootstrapped DEA and Tobit Regression." In Education 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.92.32.
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