IDEAS home Printed from https://ideas.repec.org/a/wly/emjrnl/v16y2013i1p73-102.html
   My bibliography  Save this article

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

Author

Listed:
  • Wei Wang
  • Lung‐Fei Lee

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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.
    5. Suesse, Thomas, 2018. "Marginal maximum likelihood estimation of SAR models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 98-110.
    6. 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).
    7. 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.
    8. 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).
    9. Furukawa, Mitsuaki, 2014. "Aid Fragmentation and Effectiveness for Infant and Child Mortality and Primary School Completion," Working Papers 83, JICA Research Institute.
    10. 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.
    11. Vander Donckt, Marie & Chan, Philip & Silvestrini, Andrea, 2021. "A new global database on agriculture investment and capital stock," Food Policy, Elsevier, vol. 100(C).
    12. 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.
    13. 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.
    14. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    15. 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.
    16. Zhou, Wenyu, 2019. "A network social interaction model with heterogeneous links," Economics Letters, Elsevier, vol. 180(C), pages 50-53.
    17. 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.
    18. 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.
    19. 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.
    20. 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).
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:emjrnl:v:16:y:2013:i:1:p:73-102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.