Estimation Problems In Models With Spatial Weighting Matrices Which Have Blocks Of Equal Elements

Citations

Cited by:

1. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
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3. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
   • Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
4. Gupta, Abhimanyu & Robinson, Peter M., 2018. "Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension," Journal of Econometrics, Elsevier, vol. 202(1), pages 92-107.
   • Gupta, A & Robinson, PM, 2015. "Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension," Economics Discussion Papers 22698, University of Essex, Department of Economics.
   • Gupta, Abhimanyu & Robinson, Peter M., 2017. "Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension," LSE Research Online Documents on Economics 84085, London School of Economics and Political Science, LSE Library.
5. Kuersteiner, Guido M. & Prucha, Ingmar R. & Zeng, Ying, 2023. "Efficient peer effects estimators with group effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 2155-2194.
   • Guido M. Kuersteiner & Ingmar R. Prucha & Ying Zeng, 2021. "Efficient Peer Effects Estimators with Group Effects," Papers 2105.04330, arXiv.org, revised Apr 2022.
6. Alessandra Michelangeli & Nicola Pontarollo & Giuseppe Vittucci Marzetti, 2019. "Ethnic minority concentration: A source of productivity growth for Italian provinces?," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 17-34, February.
   • Alessandra, Michelangeli & Nicola, Pontarollo, 2016. "Ethnic Minority Concentration: A Source of Productivity Growth for Italian Provinces?," Working Papers 349, University of Milano-Bicocca, Department of Economics, revised 02 Aug 2016.
7. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
8. Baltagi, Badi H. & Liu, Long, 2009. "Spatial lag test with equal weights," Economics Letters, Elsevier, vol. 104(2), pages 81-82, August.
9. Prof. Dr. Walter Krämer & Dr. Christoph Hanck, "undated". "OLS-based estimation of the disturbance variance under spatial autocorrelation," Working Papers 7, Business and Social Statistics Department, Technische Universität Dortmund, revised Oct 2006.
   • Krämer, Walter & Hanck, Christoph, 2006. "OLS-based estimation of the disturbance variance under spatial autocorrelation," Technical Reports 2006,42, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
10. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.
    • Gupta, A & Robinson, PM, 2013. "Inference on Higher-Order Spatial Autoregressive Models with Increasingly Many Parameters," Economics Discussion Papers 23417, University of Essex, Department of Economics.
    • Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," LSE Research Online Documents on Economics 60794, London School of Economics and Political Science, LSE Library.
11. Baltagi, Badi H. & Liu, Long, 2010. "Spurious spatial regression with equal weights," Statistics & Probability Letters, Elsevier, vol. 80(21-22), pages 1640-1642, November.
12. Grant Hillier & Federico Martellosio, 2013. "Properties of the maximum likelihood estimator in spatial autoregressive models," CeMMAP working papers CWP44/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
13. Fischer, Lorenz Benedikt & Pfaffermayr, Michael, 2018. "The more the merrier? Migration and convergence among European regions," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 103-114.
    • Lorenz B. Fischer & Michael Pfaffermayr, 2015. "The more the merrier? Migration and Convergence among European Regions," Working Papers 2015-08, Faculty of Economics and Statistics, Universität Innsbruck.
14. Osman Dogan & Suleyman Taspinar, 2013. "GMM Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," Working Papers 1, City University of New York Graduate Center, Ph.D. Program in Economics.
15. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers 52/15, Institute for Fiscal Studies.
    • Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers CWP06/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers 06/16, Institute for Fiscal Studies.
16. Martellosio, Federico, 2011. "Efficiency of the OLS estimator in the vicinity of a spatial unit root," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1285-1291, August.
17. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    • J. Elhorst, 2012. "Dynamic spatial panels: models, methods, and inferences," Journal of Geographical Systems, Springer, vol. 14(1), pages 5-28, January.
18. Raul Ramos & Jordi Suriñach & Manuel Artís, 2010. "Human capital spillovers, productivity and regional convergence in Spain," Papers in Regional Science, Wiley Blackwell, vol. 89(2), pages 435-447, June.
    • Raul Ramos & Manuel Artís & Jordi Suriñach, 2009. "Human Capital Spillovers Productivity and Regional Convergence in Spain," IREA Working Papers 200925, University of Barcelona, Research Institute of Applied Economics, revised Nov 2009.
    • Ramos, Raul & Surinach, Jordi & Artís, Manuel, 2009. "Human Capital Spillovers, Productivity and Regional Convergence in Spain," IZA Discussion Papers 4579, Institute of Labor Economics (IZA).
    • Raul Ramos & Jordi Suriñach & Manuel Artís, 2009. "Human capital spillovers, productivity and regional convergence in Spain," Working Papers XREAP2009-15, Xarxa de Referència en Economia Aplicada (XREAP), revised Nov 2009.
19. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    • Joshua Angrist, 2013. "The Perils of Peer Effects," NBER Working Papers 19774, National Bureau of Economic Research, Inc.
20. Martellosio, Federico, 2008. "Testing for spatial autocorrelation: the regressors that make the power disappear," MPRA Paper 10542, University Library of Munich, Germany.
21. Andre Chagas & Carlos Azzoni & Alexandre Almeida, 2015. "A Spatial Difference-in-Difference Analysis to Measure the Sugarcane Producing Impact in Respiratory Health," ERSA conference papers ersa15p511, European Regional Science Association.
22. Tun-Hsiang Yu & Seong-Hoon Cho & Seung Kim, 2012. "Assessing the Residential Property Tax Revenue Impact of a Shopping Center," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 604-621, October.
23. Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
24. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.
    • Gupta, A & Robinson, PM, 2013. "Inference on Higher-Order Spatial Autoregressive Models with Increasingly Many Parameters," Economics Discussion Papers 8987, University of Essex, Department of Economics.
    • Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," LSE Research Online Documents on Economics 60794, London School of Economics and Political Science, LSE Library.
25. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
26. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
27. Ana Angulo & Jesús Mur & Javier Trívez, 2013. "Forecasting heterogeneous regional data: the case of European employment," ERSA conference papers ersa13p953, European Regional Science Association.
28. Grant Hillier & Federico Martellosio, 2013. "Properties of the maximum likelihood estimator in spatial autoregressive models," CeMMAP working papers 44/13, Institute for Fiscal Studies.
29. Rajeev Goel & James Saunoris, 2014. "Global corruption and the shadow economy: spatial aspects," Public Choice, Springer, vol. 161(1), pages 119-139, October.
30. Song, Seuck Heun & Lee, Jaejun, 2008. "A note on S2 in a spatially correlated error components regression model for panel data," Economics Letters, Elsevier, vol. 101(1), pages 41-43, October.
31. Ana Angulo & Jesús Mur & Javier Trivez, 2014. "Measure of the resilience to Spanish economic crisis: the role of specialization," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 263-275.