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Spatial dynamic panel data models with random effects

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Cited by:

  1. Song Wenjuan & Kai Zhao, 2023. "Balancing fiscal expenditure competition and long-term innovation investment: Exploring trade-offs and policy implications for local governments," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-31, November.
  2. Melanie Krause & Sebastian Kripfganz, 2025. "Regional Dependencies and Local Spillovers: Insights From Commuter Flows," Journal of Regional Science, Wiley Blackwell, vol. 65(3), pages 565-585, June.
  3. Andrew Ojede & Bebonchu Atems & Steven Yamarik, 2018. "The Direct and Indirect (Spillover) Effects of Productive Government Spending on State Economic Growth," Growth and Change, Wiley Blackwell, vol. 49(1), pages 122-141, March.
  4. I Gede Nyoman Mindra Jaya & Henk Folmer, 2025. "Spatiotemporal forecasting models with and without a confounded covariate," Journal of Geographical Systems, Springer, vol. 27(1), pages 113-146, January.
  5. Harry H. Kelejian & Gianfranco Piras, 2016. "A J test for dynamic panel model with fixed effects, and nonparametric spatial and time dependence," Empirical Economics, Springer, vol. 51(4), pages 1581-1605, December.
  6. 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.
  7. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
  8. 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.
  9. Philipp Piribauer & Jesús Crespo Cuaresma, 2016. "Bayesian Variable Selection in Spatial Autoregressive Models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 457-479, October.
  10. Fossen, Frank M. & Martin, Thorsten, 2018. "Entrepreneurial dynamics over space and time," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 204-214.
  11. Cho, Seong-Hoon & Lee, Juhee & Roberts, Roland & Yu, Edward T. & Armsworth, Paul R., 2018. "Impact of market conditions on the effectiveness of payments for forest-based carbon sequestration," Forest Policy and Economics, Elsevier, vol. 92(C), pages 33-42.
  12. Araujo, Jair Andrade & Souza, Helson Gomes de & Tabosa, Francisco José Silva, 2019. "Income elasticities and inequality of poverty in urban and rural areas of the Brazilian states: a spatial approach," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
  13. Manfred M. Fischer & James P. LeSage, 2015. "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 677-702, November.
  14. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
  15. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
  16. Bernard Fingleton & Franz Fuerst & Nikodem Szumilo, 2019. "Housing affordability: Is new local supply the key?," Environment and Planning A, , vol. 51(1), pages 25-50, February.
  17. James Paul LeSage, 2020. "Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis–Hastings Monte Carlo log-marginal likelihoods," Journal of Geographical Systems, Springer, vol. 22(1), pages 47-75, January.
  18. Fingleton Bernard & Gardiner Ben & Martin Ron & Barbieri Luca, 2023. "The impact of brexit on regional productivity in the UK," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(2-3), pages 142-160, August.
  19. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
  20. Lin, Xu & Zhang, Jihu & Jiang, Shanhe, 2022. "Spatial and temporal correlations of crime in Detroit: Evidence from spatial dynamic panel data models," International Review of Law and Economics, Elsevier, vol. 72(C).
  21. Shijian Wu & Kaili Zhang, 2021. "Influence of Urbanization and Foreign Direct Investment on Carbon Emission Efficiency: Evidence from Urban Clusters in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
  22. Yao‐Yu Chih & Ruby P. Kishan & Andrew Ojede, 2022. "Be good to thy neighbours: A spatial analysis of foreign direct investment and economic growth in sub‐Saharan Africa," The World Economy, Wiley Blackwell, vol. 45(3), pages 657-701, March.
  23. Ng, Choy Peng & Law, Teik Hua & Jakarni, Fauzan Mohd & Kulanthayan, S., 2018. "Relative improvements in road mobility as compared to improvements in road accessibility and urban growth: A panel data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 292-301.
  24. Corinne Autant-Bernard, 2012. "Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(4), pages 403-419, December.
  25. James LeSage, 2015. "Software for Bayesian cross section and panel spatial model comparison," Journal of Geographical Systems, Springer, vol. 17(4), pages 297-310, October.
  26. Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  27. Bernard Fingleton, 2020. "Exploring Brexit with dynamic spatial panel models: some possible outcomes for employment across the EU regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 455-491, April.
  28. Debarsy, Nicolas & Dossougoin, Cyrille & Ertur, Cem & Gnabo, Jean-Yves, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 21-45.
  29. Yingxia Pu & Jin Zhao & Fanhua Kong & Xinyi Zhao & Guangqing Chi, 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.
  30. Fingleton, Bernard & Szumilo, Nikodem, 2019. "Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 148-164.
  31. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
  32. James P. LESAGE, 2014. "Software For Bayesian Spatial Model Comparison," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 11-24.
  33. Bernard Fingleton, 2024. "A Spatial Econometric Analysis of Productivity Variations Across US Cities," International Regional Science Review, , vol. 47(4), pages 475-508, July.
  34. James Wesley Burnett & Xueting Zhao, 2017. "Spatially Explicit Prediction of Wholesale Electricity Prices," International Regional Science Review, , vol. 40(2), pages 99-140, March.
  35. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
  36. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
  37. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
  38. Tiganasu, Ramona & Lupu, Dan, 2023. "Institutional quality and digitalization: Drivers in accessing European funds at regional level?," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
  39. repec:elg:eechap:14395_1 is not listed on IDEAS
  40. Wei Kang & Sergio J. Rey, 2018. "Conditional and joint tests for spatial effects in discrete Markov chain models of regional income distribution dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 73-93, July.
  41. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Correction to: Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 65(3), pages 1509-1509, September.
  42. 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.
  43. Osman Doğan & Ye Yang & Süleyman Taşpınar, 2025. "Integrated modified harmonic mean method for spatial panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(4), pages 689-719, December.
  44. Philipp Breidenbach & Timo Mitze & Christoph Schmidt, 2011. "Evaluating EU Regional Policy: Many Empirical Specifications, One (Unpleasant) Result," ERSA conference papers ersa11p1144, European Regional Science Association.
  45. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
  46. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
  47. Sleuwaegen, Leo & Boiardi, Priscilla, 2014. "Creativity and regional innovation: Evidence from EU regions," Research Policy, Elsevier, vol. 43(9), pages 1508-1522.
  48. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," LSE Research Online Documents on Economics 68839, London School of Economics and Political Science, LSE Library.
  49. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
  50. Anna Gloria Billé & Massimiliano Caporin, 2022. "Impact of COVID-19 on financial returns: a spatial dynamic panel data model with random effects," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-21, December.
  51. Bernard Fingleton, 2020. "Italexit, is it another Brexit?," Journal of Geographical Systems, Springer, vol. 22(1), pages 77-104, January.
  52. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
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