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Maximum likelihood estimation of a spatial autoregressive Tobit model

Citations

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Cited by:

  1. Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  2. T. Arduini, 2016. "Distribution Free Estimation of Spatial Autoregressive Binary Choice Panel Data Models," Working Papers wp1052, Dipartimento Scienze Economiche, Universita' di Bologna.
  3. Dargel, Lukas & Thomas-Agnan, Christine, 2022. "A generalized framework for estimating spatial econometric interaction models," TSE Working Papers 22-1312, Toulouse School of Economics (TSE).
  4. Arbia, Giuseppe, 2016. "Spatial Econometrics: A Broad View," Foundations and Trends(R) in Econometrics, now publishers, vol. 8(3-4), pages 145-265, November.
  5. Claudine Desrieux & Romain Espinosa & Michael Visser, 2022. "Simultaneous Decision Making of Juries: Evidence From the Paris Labor Court," Working Papers hal-04104190, HAL.
  6. Yun Li & Ming Xu & Juncheng Dai & Zhenshan Yang & Zhe Cheng, 2023. "Examining the Impact of Infrastructure Financialization on Uneven Regional Development: Evidence from China," Land, MDPI, vol. 12(3), pages 1-12, March.
  7. Ievoli Corrado & Basile Roberto Giovanni & Belliggiano Angelo, 2017. "The Spatial Patterns of Dairy Farming In Molise," European Countryside, Sciendo, vol. 9(4), pages 729-745, December.
  8. Xiu Xu & Weining Wang & Yongcheol Shin & Chaowen Zheng, 2024. "Dynamic Network Quantile Regression Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 407-421, April.
  9. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
  10. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
  11. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
  12. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
  13. Rabovič, Renata & Čížek, Pavel, 2023. "Estimation of spatial sample selection models: A partial maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 232(1), pages 214-243.
  14. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.
  15. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
  16. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
  17. Wei Cheng, 2022. "Consistent EM algorithm for a spatial autoregressive probit model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-23, December.
  18. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
  19. Baltagi, Badi H. & Egger, Peter H. & Kesina, Michaela, 2017. "Determinants of firm-level domestic sales and exports with spillovers: Evidence from China," Journal of Econometrics, Elsevier, vol. 199(2), pages 184-201.
  20. Pouliot, Guillaume Allaire, 2023. "Spatial econometrics for misaligned data," Journal of Econometrics, Elsevier, vol. 232(1), pages 168-190.
  21. Zhao, Chuanmin & Qu, Xi, 2021. "Peer effects in pension decision-making: evidence from China's new rural pension scheme," Labour Economics, Elsevier, vol. 69(C).
  22. Ming-Yu Deng & Levent Kutlu & Mingxi Wang, 2024. "Skewness-based test diagnosis of technical inefficiency in spatial autoregressive stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 62(1), pages 53-70, August.
  23. Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
  24. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
  25. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
  26. Guo, Juncong & Qu, Xi, 2022. "Competition in household human capital investments: Strength, motivations and consequences," Journal of Development Economics, Elsevier, vol. 158(C).
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