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The Econometric Analysis of Non-Stationary Spatial Panel Data

Author

Listed:
  • Michael Beenstock

    (Hebrew University of Jerusalem)

  • Daniel Felsenstein

    (Hebrew University of Jerusalem)

Abstract

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Suggested Citation

  • Michael Beenstock & Daniel Felsenstein, 2019. "The Econometric Analysis of Non-Stationary Spatial Panel Data," Advances in Spatial Science, Springer, number 978-3-030-03614-0, Fall.
    • Handle: RePEc:spr:adspsc:978-3-030-03614-0
    DOI: 10.1007/978-3-030-03614-0
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    Citations

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    Cited by:

    1. Pablo Fernández & Marcos Herrera Gómez, 2023. "Regresiones SUR Espaciales. Análisis Espacio-temporal del Empleo Sectorial en Argentina," Working Papers 279, Red Nacional de Investigadores en Economía (RedNIE).
    2. Michael Beenstock & Daniel Felsenstein, 2021. "A Solution for Absent Spatial Data: The Common Correlated Effects Estimator," International Regional Science Review, , vol. 44(3-4), pages 466-484, May.
    3. Yan Yu & J. Stephen Clark & Qingsong Tian & Fengxian Yan, 2022. "Rice yield response to climate and price policy in high-latitude regions of China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1143-1157, October.
    4. Ghafar, Safeen & Abdullah, Hariem & Haji Rasul, Van, 2021. "Bank profitability measurements and its determinants: an empirical study of commercial banks in Iraq," MPRA Paper 114697, University Library of Munich, Germany.
    5. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    6. Danyang Huang & Ziyi Kong & Shuyuan Wu & Hansheng Wang, 2024. "Privacy-Protected Spatial Autoregressive Model," Papers 2403.16773, arXiv.org.
    7. Xiaoxi Wang & Yaojun Zhang & Danlin Yu & Xiwei Wu & Ding Li, 2022. "Changes in Demographic Factors’ Influence on Regional Productivity Growth: Empirical Evidence from China, 2000–2010," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    8. Santos-Fernandez, Edgar & Ver Hoef, Jay M. & Peterson, Erin E. & McGree, James & Isaak, Daniel J. & Mengersen, Kerrie, 2022. "Bayesian spatio-temporal models for stream networks," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
    9. Xieer Dai & Michael Beenstock & Daniel Felsenstein & David Genesove & Nikita Kotsenko, 2023. "'Traffic light' theory for Covid-19 spatial mitigation policy design," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.
    10. Andree,Bo Pieter Johannes, 2020. "Incidence of COVID-19 and Connections with Air Pollution Exposure : Evidence from the Netherlands," Policy Research Working Paper Series 9221, The World Bank.
    11. Yingxia Pu & Xinyi Zhao & Guangqing Chi & Jin Zhao & Fanhua Kong, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
    12. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.

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