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Littérature scientifique sur le sujet « Tobit models »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 8 février 2022

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Articles de revues sur le sujet "Tobit models"

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Brockwell, A. E., et N. H. Chan. « Long-memory dynamic Tobit models ». Journal of Forecasting 25, no 5 (août 2006) : 351–67. http://dx.doi.org/10.1002/for.992.

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Bauer, Thomas K., et Mathias Sinning. « Blinder–Oaxaca decomposition for Tobit models ». Applied Economics 42, no 12 (mai 2010) : 1569–75. http://dx.doi.org/10.1080/00036840701721612.

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Smith, Douglas A., et Robert Brame. « Tobit Models in Social Science Research ». Sociological Methods & ; Research 31, no 3 (février 2003) : 364–88. http://dx.doi.org/10.1177/0049124102239080.

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Sigelman, Lee, et Langche Zeng. « Analyzing Censored and Sample-Selected Data with Tobit and Heckit Models ». Political Analysis 8, no 2 (16 décembre 1999) : 167–82. http://dx.doi.org/10.1093/oxfordjournals.pan.a029811.

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Political scientists are making increasing use of the Tobit and Heckit models. This paper addresses some common problems in the application and interpretation of these models. Through numerical experiments and reanalysis of data from a study by Romer and Snyder (1994), we illustrate the consequences of using the standard Tobit model, which assumes a censoring point at zero, when the zeros are not due to censoring mechanisms or when actual censoring is not at zero. In the latter case, we also show that Greene's (1981) well-known results on the direction and size of the bias of the OLS estimator in the standard Tobit model do not necessarily hold. Because the Heckit model is often used as an alternative to Tobit, we examine its assumptions and discuss the proper interpretation of the Heckit/Tobit estimation results using Grier and co-workers' (1994) Heckit model of campaign contribution data. Sensitivity analyses of the Heckit estimation results suggest some conclusions rather different from those reached by Grier et al.
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Lee, Lung-fei. « Estimation of dynamic and ARCH Tobit models ». Journal of Econometrics 92, no 2 (octobre 1999) : 355–90. http://dx.doi.org/10.1016/s0304-4076(98)00095-5.

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Wei, Steven X. « A bayesian approach to dynamic tobit models ». Econometric Reviews 18, no 4 (janvier 1999) : 417–39. http://dx.doi.org/10.1080/07474939908800353.

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Kliber, Paweł, et Artur Stefański. « Econometric Models in Resident Value of Investment ». Oeconomia Copernicana 4, no 3 (30 septembre 2013) : 49–63. http://dx.doi.org/10.12775/oec.2013.022.

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The aim of the study is to analyze what is the impact of: analyze period, resident value estimation method, discount rate and economic sector of the investor on the level of resident value to initial value of investment ratio. In the article, basing on 43 investments made by investors form MSP sector whose purpose was to purchase truck car of capacity to 3,5t, four econometric models were prepared: logit, probit, tobit, and logit-tobit to explain the dependence described in the aim of the study. All models are statistically important. In all models only one independent variable is always statistically important – analyze period. The longer analyze period is, the smaller resident value to initial value of investment ratio is. In order to compare models: MSE, RMSE, MAE, MAPE ratios were used. The best adaptation to data was observed when logit-tobit model is used
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Guo, Yanyong, Zhibin Li et Tarek Sayed. « Analysis of Crash Rates at Freeway Diverge Areas using Bayesian Tobit Modeling Framework ». Transportation Research Record : Journal of the Transportation Research Board 2673, no 4 (21 mars 2019) : 652–62. http://dx.doi.org/10.1177/0361198119837219.

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The goal of this study is to evaluate the impact of various risk factors on crash rates at freeway diverge areas. Crash rates data for a three-year period from 367 freeway diverge areas were used for analysis. Four candidate Tobit models were developed and compared under the Bayesian framework: a traditional Tobit model; a random parameters Tobit (RP-Tobit) model; a grouped random parameters Tobit (GRP-Tobit) model; and a random intercept Tobit (RI-Tobit). The results showed that the RP-Tobit model performs best with highest value of Rd2 as well as lowest Mean Absolute Deviance (MAD) and Deviance Information Criteria (DIC), indicating the importance of accounting for unobserved heterogeneity to improve the model fit. Both the GRP-Tobit and the RI-Tobit models provide better performance than the traditional Tobit model. The model results showed that crash rates at freeway diverge areas were positively associated with mainline annual average daily traffic (AADT) and negatively associated with ramp AADT, indicating the different mechanisms of the impact of traffic volume on crash rates at freeway diverge areas. Lane-balanced design and high speed limits at freeway diverge areas have a negative effect on crash rates. The number of lanes on mainline and ramp length have significant heterogeneous effects on crash rates across observations. The RP-Tobit model provides a more comprehensive understanding of the heterogeneous effects of risk factors on crash rates across observations.
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Powell, James L. « Symmetrically Trimmed Least Squares Estimation for Tobit Models ». Econometrica 54, no 6 (novembre 1986) : 1435. http://dx.doi.org/10.2307/1914308.

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Flood, Lennart, et Urban Gråsjö. « A Monte Carlo simulation study of Tobit models ». Applied Economics Letters 8, no 9 (septembre 2001) : 581–84. http://dx.doi.org/10.1080/13504850010027581.

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Thèses sur le sujet "Tobit models"

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Chen, Chunxia. « Semi-parametric estimation in Tobit regression models ». Kansas State University, 2013. http://hdl.handle.net/2097/15300.

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Master of Science
Department 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.
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Leiker, Antoinette. « A comparison study on the estimation in Tobit regression models ». Kansas State University, 2012. http://hdl.handle.net/2097/13804.

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Master of Science
Department 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.
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Zhang, Yi. « Empirical minimum distance lack-of-fit tests for Tobit regression models ». Kansas State University, 2011. http://hdl.handle.net/2097/12123.

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Master of Science
Department 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.
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O'LEARY, CHRISTOPHER JOSEPH. « AN ECONOMETRIC ANALYSIS OF UNEMPLOYMENT INSURANCE BENEFIT ADEQUACY (RATIONING CONSTRAINTS, TOBIT MODELS) ». Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183901.

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Explicit parameterizations of labor supply are specified and estimated on a sample of single unattached individuals using data from the Panel Study of Income Dynamics and a generalized Tobit maximum likelihood method which is consistent under the assumption that employed hours are exogenous. Results of these estimations are then used to compute triangle approximation and direct closed form solutions for labor market constraint compensation. Underemployment compensation estimates are generated and compared to actual and hypothetical payments which would accrue under the UI systems of representative states. Certain compensation results for overemployment are also offered. Where they are directly comparable, results from Tobit estimation of the basic labor supply relations are found to strictly dominate ordinary least squares (OLS) results in terms of efficiency. While the OLS and Tobit parameter estimates differ dramatically in most cases, the latter are consistent with the bulk of recent empirical labor supply research. A corollary purpose of estimating the several labor supply specifications is the search for an appropriate structure of preferences to be used in modeling the labor-leisure choice problem. Direct likelihood ratio tests yielded no best form, but suggested that more flexible parameterizations are to be desired. Results on compensation amounts tend to support accepted standards of UI benefit adequacy. For all levels of unemployment the direct compensation results suggested that "one-half gross wage replacement" would slightly overcompensate individuals from a utility based perspective.
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Silva, Paulo Henrique Ferreira da. « Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation ». Universidade Federal de São Carlos, 2015. https://repositorio.ufscar.br/handle/ufscar/7226.

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In this thesis, we extend the analysis of multivariate Seemingly Unrelated Regression (SUR) Tobit models by modeling their nonlinear dependence structures through copulas. The capability in coupling together the diferent - and possibly non-normal - marginal distributions allows the exible modeling for the SUR Tobit models. In addition, the ability to capture the tail dependence of the SUR Tobit models where some data are censored (e.g., in econometric analysis, clinical essays, wide range of political and social phenomena, among others, data are commonly left-censored at zero point, or right-censored at a point d > 0) is another useful feature of copulas. Our study proposes a modified version of the (classical) Inference Function for Margins (IFM) method by Joe & Xu (1996), which we refer to as MIFM method, to obtain the (point) estimates of the marginal and copula association parameters. More specifically, we use a (frequentist) data augmentation technique at the second stage of the IFM method (the first stage of the MIFM method is equivalent to the first stage of the IFM method) to generate the censored observations and then estimate the copula parameter. This procedure (data augmentation and copula parameter estimation) is repeated until convergence. Such modification at the second stage of the usual method is justified in order to obtain continuous marginal distributions, which ensures the uniqueness of the resulting copula, as stated by Sklar (1959)'s theorem; and also to provide an unbiased estimate of the copula association parameter (the IFM method provides a biased estimate of the copula parameter in the presence of censored observations in the margins). Since the usual asymptotic approach, that is the computation of the asymptotic covariance matrix of the parameter estimates, is troublesome in this case, we also propose the use of resampling procedures (bootstrap methods, like standard normal and percentile by Efron & Tibshirani (1993), and basic bootstrap by Davison & Hinkley (1997)) to obtain con_dence intervals for the copula-based SUR Tobit model parameters.
Nesta tese de doutorado, consideramos os chamados modelos SUR (da expressão Seemingly Unrelated Regression) Tobit multivariados e estendemos a análise de tais modelos ao empregar funções de cópula para modelar estruturas com dependência não linear. As cópulas, dentre outras características, possuem a importante habilidade (vantagem) de capturar/modelar a dependência na(s) cauda(s) do modelo SUR Tobit em que alguns dados são censurados (por exemplo, em análise econométrica, ensaios clínicos e em ampla gama de fenômenos políticos e sociais, dentre outros, os dados são geralmente censurados à esquerda no ponto zero, ou à direita em um ponto d > 0 qualquer). Neste trabalho, propomos uma versão modificada do método clássico da Inferência para as Marginais (IFM, da expressão Inference Function for Margins), originalmente proposto por Joe & Xu (1996), a qual chamamos de MIFM, para estimação (pontual) dos parâmetros do modelo SUR Tobit multivariado baseado em cópula. Mais especificamente, empregamos uma técnica (frequentista) de ampliação de dados no segundo estágio do método IFM (o primeiro estágio do método MIFM é igual ao primeiro estágio do método IFM) para gerar as observações censuradas e, então, estimamos o parâmetro de dependência da cópula. Repetimos tal procedimento (ampliação de dados e estimação do parâmetro da cópula) até obter convergência. As razões para esta modificação no segundo estágio do método usual, são as seguintes: primeiro, construir/obter distribuições marginais contínuas, atendendo, então, ao teorema de unicidade da cópula resultante de Sklar (Sklar, 1959); e segundo, fornecer uma estimativa não viesada para o parâmetro da cópula (uma vez que o método IFM produz estimativas viesadas do parâmetro da cópula na presença de observações censuradas nas marginais). Tendo em vista a dificuldade adicional em calcular/obter a matriz de covariâncias assintótica das estimativas dos parâmetros, também propomos o uso de procedimentos de reamostragem (métodos bootstrap, tais como normal padrão e percentil, propostos por Efron & Tibshirani (1993), e básico, proposto por Davison & Hinkley (1997)) para a construção de intervalos de confiança para os parâmetros do modelo SUR Tobit baseado em cópula.
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Sousa, Mário Fernando de. « Two essays on Birnbaum-Saunders regression models for censored data ». Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/7235.

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This work aims to fill a gap in the literature on modeling asymmetric and censored data. The main objective is to provide a contribution by developing two models, which will be presented in two papers, respectively. In the first paper, we develop the tobit-Birnbaum-Saunders model, a variation of the standard tobit model. We discuss estimation based on the maximum likelihood method, residuals, diagnostic techniques and an empirical application. In the second paper, we propose the use of a mixture between the Birnbaum-Saunders and Bernoulli distributions. The objective is to generalize the tobit-Birnbaum-Saunders model in order to consider the possibility of partial observations below a cutoff point. For the mixture model, we carry out a Monte Carlo simulation study and an empirical application. The results show that, in both cases, the Birnbaum-Saunders distribution provides the best results.
Este trabalho visa preencher uma lacuna existente na literatura pertinente à modelagem de dados assimétricos e censurados. O objetivo principal é oferecer uma contribuição via o desenvolvimento de dois modelos, os quais serão apresentados em dois artigos. No primeiro artigo é proposto o modelo tobit-Birnbaum-Saunders, ou seja, uma variação do modelo tobit clássico, com estimação baseada no método de máxima verossimilhança, resíduos, técnicas de diagnóstico e uma aplicação a dados reais. No segundo artigo é abordada a utilização de um modelo de mistura entre as distribuições Birnbaum-Saunders e Bernoulli, de modo a generalizar o modelo tobit-Birnbaum-Saunders e considerar a possibilidade de observações parciais abaixo do ponto de corte. Para o modelo de mistura são realizadas simulações de Monte Carlo e uma aplicação a dados reais. Os resultados mostram que, em ambos os casos, a distribuição Birnbaum-Saunders oferece os melhores resultados.
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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/.

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Este trabalho apresenta um estudo de dados com resposta em intervalos limitados, mais especificamente no intervalo [0,1], como no caso de taxas e proporções. Em diversos casos práticos esta estrutura de dados apresenta uma quantidade não negligenciável de valores extremos (0 e 1) e que modelos usuais não são adequados para sua análise. Para esta situação propomos, por meio de um enfoque Bayesiano, modelos de regressão beta inflacionado de zeros e uns (BIZU) e modelos de regressão Tobit duplamente censurado adaptados nesse intervalo. Técnicas de diagnóstico e qualidade do ajuste também são discutidas. Apresentamos a análise desta estrutura de dados no contexto de série de tempo por meio da abordagem Bayesiana de modelos dinâmicos. Estudos de comportamento e previsão de séries de tempo foram explorados utilizando técnicas de Monte Carlo sequencial, conhecidas como filtro de partículas. Particularidades e competitividade entre as duas classes de modelos também foram discutidas.
This 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.
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Xu, Xingbai Xu. « Asymptotic Analysis for Nonlinear Spatial and Network Econometric Models ». The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461249529.

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Mater, Gautier. « Caractérisation des mesures d’exposition à des produits chimiques dans les bases de données françaises COLCHIC et SCOLA pour la prévention des maladies professionnelles ». Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0210/document.

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En France, deux bases de données d’exposition professionnelle, COLCHIC et SCOLA, coexistent avec des objectifs différents (prévention et réglementation). Leur représentativité par rapport à la population générale est cependant inconnue, et fait l’objet de ce travail. Après avoir effectué une analyse descriptive comparative, l’étude de l’association entre les niveaux d’exposition et les éléments contextuels a été réalisée par modélisation statistique pour chaque agent, séparément pour COLCHIC et SCOLA, puis dans un jeu de données commun. La synthèse à travers les agents s’est faite par Méta analyse. COLCHIC et SCOLA contiennent respectivement 929 700 (670 agents chimiques) et 429 104 données (105). Trois forts prédicteurs « Durée de prélèvement », « Equipement de protection individuelle » et « Année » sont systématiquement associés aux niveaux dans les deux bases et 3 autres sont spécifiques à chacune d’elles. Avec des niveaux deux fois plus élevés dans COLCHIC comparés à SCOLA en 2007, leurs concentrations deviennent comparables entre 2012 et 2015. COLCHIC et SCOLA représentent une source importante d’informations. La prise en compte des descripteurs associés aux mesures et l’utilisation de méthodes prédictives permettront d’en améliorer l’interprétation
Two occupational exposure databases of occupational exposures to chemicals, COLCHIC and SCOLA, coexist in France with different objectives (prevention and compliance). Little is known about their representativeness of exposures in the general population. We explored to what extent COLCHIC and SCOLA adequately reflect occupational exposures in France. After performing a descriptive and comparative analysis, associations between exposure levels and ancillary information were explored for each agent, separately for COLCHIC and SCOLA and in a common dataset, using statistical modelling. Modelling results were synthesized across agents using Meta analysis. COLCHIC and SCOLA contain, respectively, 929 700 (670 chemicals) and 429 104 records (105). Three predictors "Sample Time", "Personal protective equipment" and "Year" are strongly associated with exposure levels across a large majority of chemicals in both databases, and 3 others are specific to each one. Exposure levels are in average twice higher in COLCHIC compared to SCOLA in 2007, but become comparable from 2012-2015. COLCHIC and SCOLA are an important source of information. Inclusion of descriptors associated with exposure levels in our study and the use of predictive methods should help to improve their interpretation
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Park, In Kwon. « Essays on a City’s Assets : Agglomeration Economies and Legacy Capital ». The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269458854.

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Livres sur le sujet "Tobit models"

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Powell, James. Symmetrically trimmed least squares estimation for Tobit models. Cambridge, Mass : Dept. of Economics, Massachusetts Institute of Technology, 1985.

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Crawford, Allan. Downward nominal-wage rigidity : Micro evidence from Tobit models. Ottawa : Bank of Canada, 2001.

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Crawford, Allan. Downward nominal-wage rigidity : Micro evidence from Tobit models. Ottawa, Ont : Bank of Canada, 2001.

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Rohweder, Herold C. Wechselkursvariabilität und internationaler Handel : Eine empirische Analyse der räumlichen Handelsverflechtung im Rahmen eines TOBIT-Regressionsansatzes. München : V. Florentz, 1989.

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Gomulka, J. Gamma-tobit : A tobit type model with Y-distributed error term. London : Taxation, Incentives and theDistribution of Income Programme, 1986.

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Blundell, Richard. Estimation in the simultaneous equation Tobit model. London : University College, 1985.

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Bhattacharya, Joydeep. The Tobin effect and the Friedman rule. [New York, N.Y.] : Federal Reserve Bank of New York, 2005.

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Pohlmeier, Winfried. Simultane Probit- und Tobitmodelle : Theorie und Anwendungen auf Fragen der Innovationsökonomik. Berlin : Springer-Verlag, 1989.

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Smith, Richard J. An exogeneity test for a simultaneous equation Tobit model with an application to labour supply. London : University College, 1985.

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Huang, Hui. Baumol-Tobin and the welfare costs of national security border delays. Cambridge, Mass : National Bureau of Economic Research, 2006.

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Chapitres de livres sur le sujet "Tobit models"

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Cunillera, Oriol. « Tobit Models ». Dans Encyclopedia of Quality of Life and Well-Being Research, 6671–76. Dordrecht : Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_3025.

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Krause, A., et W. Polasek. « Approaches to Tobit Models via Gibbs Sampling ». Dans Computational Statistics, 559–64. Heidelberg : Physica-Verlag HD, 1992. http://dx.doi.org/10.1007/978-3-662-26811-7_77.

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Jintranun, Jintanee, Peter Calkins et Songsak Sriboonchitta. « Charitable Giving Behavior in Northeast Thailand and Mukdaharn Province : Multivariate Tobit Models ». Dans Uncertainty Analysis in Econometrics with Applications, 269–81. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35443-4_19.

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Robin, Jean-Marc. « Tobit Model ». Dans The New Palgrave Dictionary of Economics, 1–5. London : Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2349-1.

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Robin, Jean-Marc. « Tobit Model ». Dans The New Palgrave Dictionary of Economics, 13707–11. London : Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2349.

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Robin, Jean-Marc. « Tobit model ». Dans Microeconometrics, 323–28. London : Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280816_35.

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Dimand, Robert W. « Transforming the IS-LM Model Sector By Sector ». Dans James Tobin, 24–43. London : Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137431950_3.

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Papalia, Rosa Bernardini, et Francesca Di Iorio. « Alternative Error Term Specifications in the Log-Tobit Model1 ». Dans Advances in Classification and Data Analysis, 185–92. Berlin, Heidelberg : Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59471-7_23.

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Windzio, Michael. « Abgeschnittene, zensierte und selektive Daten : Tobit-Regression und Heckman-Modell ». Dans Regressionsmodelle für Zustände und Ereignisse, 255–83. Wiesbaden : Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-531-18852-2_10.

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Asada, Toichiro, Peter Flaschel, Tarik Mouakil et Christian Proaño. « Analysis and Policy Implications of the KMG-Tobin Model ». Dans Asset Markets, Portfolio Choice and Macroeconomic Activity, 62–92. London : Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230307773_4.

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Actes de conférences sur le sujet "Tobit models"

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Çağlayan Akay, Ebru, et Zamira Oskonbaeva. « An Empirical Analysis of the Linder Theory for Organisation for Economic Co-Operation and Development Member Countries ». Dans International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01854.

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Linder theory is one of the main theories of the international trade based on the demand side. It implies that the countries with similar demand structures trade more intensely with one another. This study presents empirical evidence in support of the Linder theory of international trade for selected OECD Countries. In order to analyze the validity of Linder hypothesis for these countries, Panel Tobit approach has been employed using the annual data for the period 2001-2005. The empirical results provide evidence supporting the panel tobit model in terms of applicability and robustness. The results of the study also show some insights in support of the Linder hypothesis for OECD Countries.
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ODAH, Meshal Harbi, Bahr KADHIM MOHAMMED et Ali SADIG MOHOMMED BAGER. « Tobit Regression Model to Determine the Dividend Yield in Iraq ». Dans 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.

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Murakami, Yukasa, Masateru Tsunoda et Koji Toda. « An Empirical Evaluation of the Tobit Model on Software Defect Prediction ». Dans 2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD). IEEE, 2016. http://dx.doi.org/10.1109/acit-csii-bcd.2016.046.

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Lee, Seung-gil, et Sun Young Chang. « Demand Model for Adult Continuing Education using the Tobit model and the Heckman Selection Model ». Dans Education 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.103.27.

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Zhao, Yuanping, Qiang Yan et Huaying Shu. « A Tobit Model on Message Transfer and Control in Instant Message Systems ». Dans 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5305431.

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Chen, Junmin, Nataliya Stoyanets et Zetao Hu. « RESEARCH ON INFLUENCING FACTORS OF RURAL ENDOGENOUS DEVELOPMENT ABILITY BASED ON TOBIT MODEL ». Dans 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.

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Cultivating and digging the endogenous power of rural development is the basis of sustainable rural development. The article sets explanatory variables from the perspective of social network structure theory, and constructs a Tobit multiple regression empirical model that affect rural endogenous ability. The study found that the amount of social structural holes, the strength of weak ties, the role of village committees, and the quality of village cadres have a significant positive effect on the improvement of rural endogenous capabilities. Accordingly, it is recommended that Henan region creates market opportunities for various types of elites to serve the rural revitalization ; fully explore and use weak ties to fight for more resources for the rural revitalization ; further strengthen the collective economy, strengthen the village collective administrative power from the perspective of legislation, and optimize the control of the collective power of the village ; the formation of a cultural psychological structure that is conducive to the endogenous development of the village .
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MirzaMoghadam, A. V., A. Riahi et M. Morris. « High Pressure Turbine Low Radius Radial TOBI Discharge Coefficient Validation Process ». Dans ASME 2011 Turbo Expo : Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45113.

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A TOBI (tangential on board injection) or preswirl system is a critical component of a high pressure turbine cooling delivery system. Its efficient performance and characterization are critical because the blade and disk life depend on the accuracy of delivering the required flow at the correct temperature and pressure. This paper presents a TOBI flow discharge coefficient validation process applied to a low radius radial configuration starting from a 1D network flow analysis to a 3D frozen rotor CFD analysis of the rotor cooling air delivery system. The analysis domain commences in the combustor plenum stationary reference frame, includes the TOBI, transitions to the rotating reference frame as the flow travels through the rotating cover plate orifice, continues up the turbine disk into the slot bottom blade feed cavity, and terminates in the turbine blade. The present effort includes matching a 1D network model with 3D CFD results using simultaneous goal-matching of pressure predictions throughout the circuit, defining test rig pressure measurements at critical “non-disturbing” locations for quanification of pressure ratio across the TOBI, and finally comparing the TOBI flow coefficient resulting from stationary cold flow tests with what was obtained from the 3D CFD results. Analysis of the results indicates that the discharge coefficient varies with pressure ratio and that the traditional method of using a constant discharge coefficient extracted from a cold flow test run under choked conditions leads to over-predicting turbine cooling flows. TOBI flow coefficient prediction for the present study compares well with the stationary data published by author researchers for the configuration under investigation, and the process described in this paper is general for any TOBI configuration.
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Andaiyani, Sri, Saadah Yuliana et Fida Muthia. « Testing Baumol-Tobin Model Toward Millennials in Palembang City ». Dans 5th Sriwijaya Economics, Accounting, and Business Conference (SEABC 2019). Paris, France : Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200520.005.

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Wu, Wen-qing, Fei Xie et Li-ming Zhao. « A study on the operation of Chinese university science park based on DEA-Tobit model ». Dans EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5646090.

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Shan, Hongmei, Xueyuan Xiao et Jing Shi. « Efficiency and Its Influencing Factors Analysis of E-commerce based on DEA and Tobit Model ». Dans the 2019 3rd International Conference. New York, New York, USA : ACM Press, 2019. http://dx.doi.org/10.1145/3312662.3312700.

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Rapports d'organisations sur le sujet "Tobit models"

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Liu, Laura, Hyungsik Roger Moon et Frank Schorfheide. Forecasting with a Panel Tobit Model. Cambridge, MA : National Bureau of Economic Research, décembre 2019. http://dx.doi.org/10.3386/w26569.

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Day, Christopher M., Hiromal Premachandra et Darcy M. Bullock. Characterizing the Impacts of Phasing, Environment, and Temporal Factors on Pedestrian Demand at Traffic Signals. Purdue University, 2011. http://dx.doi.org/10.5703/1288284317352.

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There is a need for more and higher quality data on pedestrian demand patterns for a number of applications in planning, transportation engineering, public health, and other areas. It is particularly desirable to better characterize the influence of daily, weekly, and annual variations; the impact of weather and special events; and the effects of changes in pedestrian phasing. This paper proposes and demonstrates a methodology for quantifying the relative demand for pedestrian service at a signalized intersection by using the percent of signal cycles per hour in which the pedestrian phase was actuated. Although this performance measure does not by itself provide a pedestrian count, it can be used as a surrogate to characterize how pedestrian volumes vary due to operating conditions. More importantly, since this technique does not require new sensors, the data can be collected at thousands of intersections across the nation where pedestrian push buttons are in use. This paper documents findings from over a year of data collection at a signalized intersection on a college campus. The effects of daily/weekly/annual variations, special events, weather (temperature and precipitation), seasonal changes in activity patterns, and changes in pedestrian signal phasing are documented. A Tobit model is used to account for the influences of these variables and understand how they co-influence pedestrian activity. The implementation of an exclusive pedestrian phase is associated with a 9% increase in pedestrian phase utilization at the intersection. This change is associated with a decrease in user cost relative to performing midblock crossings. The modeled impact of snowfall events adds further insight by showing that as the user cost of making midblock crossings increases, pedestrian activity at the intersection increases.
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IV methods for Tobit models. Cemmap, juin 2021. http://dx.doi.org/10.47004/wp.cem.2021.2621.

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