The Econometric Analysis of Non-Stationary Spatial Panel Data
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-030-03614-0
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Citations
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Cited by:
- 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).
- Herrera Gomez Marcos & Fernández Pablo, 2023. "Regresiones SUR Espaciales. Análisis espacio-temporal del empleo sectorial en Argentina," Asociación Argentina de Economía Política: Working Papers 4660, Asociación Argentina de Economía Política.
- 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.
- 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.
- 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.
- Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
- Danyang Huang & Ziyi Kong & Shuyuan Wu & Hansheng Wang, 2024. "Privacy-Protected Spatial Autoregressive Model," Papers 2403.16773, arXiv.org, revised Jul 2024.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
Book Chapters
The following chapters of this book are listed in IDEAS- Michael Beenstock & Daniel Felsenstein, 2019. "Space and Time are Inextricably Interwoven," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 1-20, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Time Series for Spatial Econometricians," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 21-47, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Spatial Data Analysis and Econometrics," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 49-69, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "The Spatial Connectivity Matrix," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 71-96, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Unit Root and Cointegration Tests in Spatial Cross-Section Data," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 97-127, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Spatial Vector Autoregressions," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 129-161, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Unit Root and Cointegration Tests for Spatially Dependent Panel Data," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 163-196, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Cointegration in Non-Stationary Spatial Panel Data," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 197-232, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Spatial Vector Error Correction," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 233-250, Springer.
- Michael Beenstock & Daniel Felsenstein, 2019. "Strong and Weak Cross-Section Dependence in Non-Stationary Spatial Panel Data," Advances in Spatial Science, in: The Econometric Analysis of Non-Stationary Spatial Panel Data, chapter 0, pages 251-275, Springer.
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