Academic literature on the topic 'Tobit regression model'
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Journal articles on the topic "Tobit regression model"
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Kadhim Abbas, Haider. "Bayesian Lasso Tobit regression." Journal of Al-Qadisiyah for computer science and mathematics 11, no. 2 (August 26, 2019): 1–13. http://dx.doi.org/10.29304/jqcm.2019.11.2.553.
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In the present research, we have proposed a new approach for model selection in Tobit regression. The new technique uses Bayesian Lasso in Tobit regression (BLTR). It has many features that give optimum estimation and variable selection property. Specifically, we introduced a new hierarchal model. Then, a new Gibbs sampler is introduced.We also extend the new approach by adding the ridge parameter inside the variance covariance matrix to avoid the singularity in the case of multicollinearity or in case the number of predictors greater than the number of observations. A comparison was made with other previous techniques applying the simulation examples and real data. It is worth mentioning, that the obtained results were promising and encouraging, giving better results compared to the previous methods.
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Lee, Seung-Chun, and Byung Su Choi. "Bayesian Interval Estimation of Tobit Regression Model." Korean Journal of Applied Statistics 26, no. 5 (October 31, 2013): 737–46. http://dx.doi.org/10.5351/kjas.2013.26.5.737.
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Li, Lexin, Jeffrey S. Simonoff, and Chih-Ling Tsai. "Tobit model estimation and sliced inverse regression." Statistical Modelling: An International Journal 7, no. 2 (July 2007): 107–23. http://dx.doi.org/10.1177/1471082x0700700201.
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Flaih, Ahmad, Jose Guardiola, Hassan Elsalloukh, and Chary Akmyradov. "Statistical Inference on the ESEP Tobit Regression Model." Journal of Statistics Applications & Probability Letters 6, no. 1 (January 1, 2019): 1–9. http://dx.doi.org/10.18576/jsapl/060101.
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Song, Weixing. "Distribution-free test in Tobit mean regression model." Journal of Statistical Planning and Inference 141, no. 8 (August 2011): 2891–901. http://dx.doi.org/10.1016/j.jspi.2011.03.012.
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Ding, Hao, Zhanfeng Wang, and Yaohua Wu. "Tobit regression model with parameters of increasing dimensions." Statistics & Probability Letters 120 (January 2017): 1–7. http://dx.doi.org/10.1016/j.spl.2016.09.006.
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Koul, Hira L., Weixing Song, and Shan Liu. "Model checking in Tobit regression via nonparametric smoothing." Journal of Multivariate Analysis 125 (March 2014): 36–49. http://dx.doi.org/10.1016/j.jmva.2013.11.017.
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Chib, Siddhartha. "Bayes inference in the Tobit censored regression model." Journal of Econometrics 51, no. 1-2 (January 1992): 79–99. http://dx.doi.org/10.1016/0304-4076(92)90030-u.
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Yu, Keming, and Julian Stander. "Bayesian analysis of a Tobit quantile regression model." Journal of Econometrics 137, no. 1 (March 2007): 260–76. http://dx.doi.org/10.1016/j.jeconom.2005.10.002.
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鲁, 海波. "A Sequential Shrinkage Estimate Based on Tobit Regression Model." Pure Mathematics 11, no. 07 (2021): 1320–25. http://dx.doi.org/10.12677/pm.2021.117148.
Full textDissertations / Theses on the topic "Tobit regression model"
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Liu, Shan. "Model checking in Tobit regression model via nonparametric smoothing." Kansas State University, 2012. http://hdl.handle.net/2097/13790.
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Master of ScienceDepartment 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.
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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 ScienceDepartment 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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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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Nguyen, Thanh Dien. "Atmospheric behaviors and control measures of persistent organic pollutants: case studies on polybrominated diphenyl ethers and pentachlorophenol." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217161.
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Lee, David Jung-Hwi. "Optimal Regional Allocation of Population and Employment: Application of a Spatial Interaction Commuting Model." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276787325.
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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 ScienceDepartment 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 ScienceDepartment 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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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
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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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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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Oduniyi, Oluwaseun Samuel. "Implication of climate change on livelihood and adaptation of small and emerging maize farmers in the North West Province of South Africa." Thesis, 2018. http://hdl.handle.net/10500/25330.
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Climate change implication and rural livelihood capitals remain the major inextricable dimensions of sustainability in this twenty first century globally. As a result, the impact and outcome of climate change on rural livelihood capitals, including economic development cannot be overemphasized in Ngaka Modiri Molema District Municipality of the North West Province of South Africa, where the study took place. It is one of the largest maize production regions in South Africa, where a preponderance of the people in the province obtain their livelihood from agriculture which contributes enormously to the promotion of household’s food security. The study, therefore, investigated the adaptation strategies, awareness of climate change, factors that influenced climate change adaptation in North West Province of South Africa, with the aim of ascertaining the effects of climate change on livelihood capitals among small and emerging maize farmers. Stratified random sampling technique was used to select three hundred and forty-six (346) farmers
who were interviewed from the study area, while a pre-tested questionnaire was administered to the maize farmers, aiming at matters related to climate change impact on livelihood and adaptation. Data were analyzed using descriptive statistics while inferential statistical tools employed were Principal Component Analysis, Two-Stage Least Square regression model, Binary Logistic regression model, and Tobit regression model.
The results of the study showed that climate change was linked to rural livelihood capitals as climate change awareness, low profit and co-operative finance were statistically significant (p<0.05). The study also established that majority of the rural farmers in the study area were aware of climate change, in which farm size, education, ownership of the farm, information received on climate change, source of climate change information, climate change information through extension services, channel of information received on climate change and support received on climate change were statistically significant (p<0.05). Factors such as farm size, household gender, type of farms, who owns the farm, land acquisition, source of climate change information, support received on climate change, and adaptation barrier were statistically significant (p<0.05) and influenced climate change adaptation in the study area. Conclusively, climate change is entwined with rural livelihood, and the variables that are significant to the study were identified. It was therefore recommended that government intervention, access to information, extension service and support, farmers’ networking, adoption of drought and heat stress tolerant seeds, indigenous knowledge should be improved, practiced and
promoted among the rural farmers and the stakeholders involved in the study area.Agriculture, Animal Health and Human Ecology
D. Phil. (Agriculture)
Book chapters on the topic "Tobit regression model"
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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.
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Higano, 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.
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AbstractThis introduction summarizes chapters of Part II. In Chap. 10.1007/978-981-15-8848-8_9, Yamamoto (Jpn J Real Estate Sci 31:88–96, 2018) has compared between the street method, the asset valuation adopted for the imposition of property tax in Japan, and the computer-assisted mass appraisal (CAMA) method generally adopted in North America focusing on education and training of valuators. In Chap. 10.1007/978-981-15-8848-8_10, Yamazaki (Jpn J Real Estate Sci 31:97–101, 2018) argues that one of the major causes for relatively low density use of land in the city in Japan is the land tax system. He focuses on property tax and examines defects of the tax from view of economist. In Chap. 10.1007/978-981-15-8848-8_11, Kobayashi (Jpn J Real Estate Sci 31:129–138, 2018), taking an actual example, has examined difference between precise legal interpretation of ‘exemption from real estate acquisition tax due to purpose of use’ and taxation practices conducted by local administrative bodies. In Chap. 10.1007/978-981-15-8848-8_12, Shirakawa and Okoshi (Jpn J Real Estate Sci 31:88–96, 2017) have shown that the real estate companies were committed to transactions as dual agencies to whatsoever degree, and analyzed attributes of real estate brokerage companies which are able to be dual agencies and how such dual agency affects contract price.In Chap. 10.1007/978-981-15-8848-8_13, Ueno (Jpn J Real Estate Sci 31:97–105, 2017) has analyzed impacts of the macroeconomic conditions on the land price gradient curves which are estimated using real estate data of the Tokyo Metropolitan Area in 1970, 1976, 1985, 1988, 1994, 2008, 2010, and 2016. In Chap. 10.1007/978-981-15-8848-8_14, Komatsu (Jpn J Real Estate Sci 31:110–118, 2017) has analyzed impacts that refurbishment of existing apartment has on possible increase in rent using the multinomial probit model and the Tobit model. In Chap. 10.1007/978-981-15-8848-8_15, Hanazato (Jpn J Real Estate Sci 31:119–128, 2017) has shown that around 90% of condominium reconstruction cases are predictable using the estimated discriminant function in terms of objective real estate data only. In Chap. 10.1007/978-981-15-8848-8_16, Ota et al. (Jpn J Real Estate Sci 31:109–119, 2018) have analyzed determinants of rent for rental house, office, and shop within 10-min walking distance from Shibuya Station in Tokyo. Multiple regression analyses are conducted and have shown that space syntax (SS) measures (Hillier and Hanson, The Social Logic of Space. Cambridge University Press, Cambridge, 1984) significantly affect rent as well as conventional location attributes.
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Hadaya, Pierre, and Robert Pellerin. "Determinants of Manufacturing Firms' Intent to Use Web Based Systems to Share Inventory Information with their Key Suppliers." In E-Collaboration, 1267–88. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-652-5.ch096.
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Based on the literature on the diffusion of innovations and on information systems, and building on emerging concepts in electronic collaboration (e-collaboration), this article measures the influence of various determinants on manufacturing firms’ intent to use Web-based inter-organizational information systems (IOISs) to share inventory information with their key suppliers. This theoretical model is tested on data collected from 498 senior managers of Canadian manufacturing firms. Our findings indicate that a manufacturing firm’s organizational readiness, its past experience with e-commerce and its business relationships all affect its future use of Web-based IOISs to share inventory information with its key suppliers. The results of Tobit regressions also provide supporting evidence that firm size moderates the impact of the present use of e-commerce with suppliers on manufacturing firms’ intent to use Web-based IOISs to share inventory information with key suppliers.
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Hadaya, Pierre, and Robert Pellerin. "Determinants of Manufacturing Firms' Use of Web-Based IOISs to Share Inventory Information with Key Partners." In Interdisciplinary Perspectives on E-Collaboration, 162–85. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-676-6.ch010.
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Based on the literature on the diffusion of innovations and on information systems, and building on emerging concepts in electronic collaboration (e-collaboration), this chapter analyses the influence of various determinants on manufacturing firms’ intent to use Web-based interorganizational information systems (IOISs) to share inventory information with their key suppliers. This theoretical model is tested on data collected from 498 senior managers of Canadian manufacturing firms. Findings indicate that a manufacturing firm’s organizational readiness, its past experience with e-commerce and its business relationships all affect its future use of Web-based IOISs to share inventory information with its key suppliers. The results of Tobit regressions also provide supporting evidence that firm size moderates the impact of the present use of e-commerce with suppliers on manufacturing firms’ intent to use Web-based IOISs to share inventory information with key suppliers. Finally, subsequent analyses also demonstrate that the determinants of manufacturing firms’ intent to use Web-based IOISs to exchange inventory information with key partners are the same whether the intended e-collaboration is to support relationships with key suppliers or key customers.
Conference papers on the topic "Tobit regression model"
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ODAH, 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.
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Chen, 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.
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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 .