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Estimation of spatial autoregressive models with randomly missing data in the dependent variable

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  • Wei Wang
  • Lung‐Fei Lee

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  • Wei Wang & Lung‐Fei Lee, 2013. "Estimation of spatial autoregressive models with randomly missing data in the dependent variable," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 73-102, February.
  • Handle: RePEc:wly:emjrnl:v:16:y:2013:i:1:p:73-102
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    Cited by:

    1. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    2. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    3. Suesse, Thomas, 2018. "Marginal maximum likelihood estimation of SAR models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 98-110.
    4. Füss, Roland & Ruf, Daniel, 2022. "Information precision and return co-movements in private commercial real estate markets," Journal of Banking & Finance, Elsevier, vol. 138(C).
    5. Chen, Denghui & Kiefer, Hua & Liu, Xiaodong, 2022. "Estimation of discrete choice network models with missing outcome data," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    6. Furukawa, Mitsuaki, 2014. "Aid Fragmentation and Effectiveness for Infant and Child Mortality and Primary School Completion," Working Papers 83, JICA Research Institute.
    7. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    8. Vander Donckt, Marie & Chan, Philip & Silvestrini, Andrea, 2021. "A new global database on agriculture investment and capital stock," Food Policy, Elsevier, vol. 100(C).
    9. Christiern Rose & Lizi Yu, 2021. "Identification of Peer Effects with Miss-specified Peer Groups: Missing Data and Group Uncertainty," Papers 2104.10365, arXiv.org, revised May 2022.
    10. Zhou, Wenyu, 2019. "A network social interaction model with heterogeneous links," Economics Letters, Elsevier, vol. 180(C), pages 50-53.
    11. Izaguirre, Alejandro & Di Capua, Laura, 2020. "Exploring peer effects in education in Latin America and the Caribbean," Research in Economics, Elsevier, vol. 74(1), pages 73-86.
    12. Luo, Guowang & Wu, Mixia & Xu, Liwen, 2021. "IPW-based robust estimation of the SAR model with missing data," Statistics & Probability Letters, Elsevier, vol. 172(C).
    13. Ronald Davies & Helen Naughton, 2014. "Cooperation in environmental policy: a spatial approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(5), pages 923-954, October.
    14. 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.
    15. Eleonora Patacchini & Xiaodong Liu & Edoardo Rainone, 2013. "The Allocation of Time in Sleep: A Social Network Model with Sampled Data," Center for Policy Research Working Papers 162, Center for Policy Research, Maxwell School, Syracuse University.
    16. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    17. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    18. Marcos Sanso-Navarro & María Vera-Cabello & Miguel Puente-Ajovín, 2020. "Regional convergence and spatial dependence: a worldwide perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 147-177, August.
    19. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    20. Chongshi Gu & Xiao Fu & Chenfei Shao & Zhongwen Shi & Huaizhi Su, 2020. "Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    21. Ronald B. Davies & Stephan Klasen, 2019. "Darlings and Orphans: Interactions across Donors in International Aid," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 243-277, January.
    22. Lei, J., 2014. "Essays on nonlinear panel data models," Other publications TiSEM 302d1ae7-0310-43b0-b253-6, Tilburg University, School of Economics and Management.

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