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A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors

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Cited by:

  1. repec:unu:wpaper:wp2012-74 is not listed on IDEAS
  2. 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.
  3. Silvia Palombi & Roger Perman & Christophe Tavéra, 2017. "Commuting effects in Okun's Law among British areas: Evidence from spatial panel econometrics," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 191-209, March.
  4. Giron Cima, Elizabeth & Freire da Rocha-Junior, Weimar & Angel Uribe-Opazo, Miguel & Henrique Dalposso, Gustavo, 2023. "An Analysis of the Gross Domestic Product of Municipalities: a Spatial Glance into the State of Paraná-Brazil," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(2), June.
  5. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
  6. Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.
  7. Moscone, Francesco & Tosetti, Elisa, 2009. "GMM estimation of spatial panels," MPRA Paper 16327, University Library of Munich, Germany.
  8. Le Ma & Chunlu Liu, 2015. "Is there Long-Run Equilibrium in the House Prices of Australian Capital Cities?," International Real Estate Review, Global Social Science Institute, vol. 18(4), pages 503-521.
  9. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2012. "Forecasting with spatial panel data," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3381-3397.
  10. Yongfu Huang & Jingjing He, 2012. "The Decarbonization of China's Agriculture," WIDER Working Paper Series wp-2012-074, World Institute for Development Economic Research (UNU-WIDER).
  11. Baltagi, Badi H. & Pirotte, Alain, 2010. "Panel data inference under spatial dependence," Economic Modelling, Elsevier, vol. 27(6), pages 1368-1381, November.
  12. Bernard Fingleton & Manfred Fischer, 2010. "Neoclassical theory versus new economic geography: competing explanations of cross-regional variation in economic development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(3), pages 467-491, June.
  13. Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.
  14. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
  15. López, Fernando & Matilla-García, Mariano & Mur, Jesús & Marín, Manuel Ruiz, 2010. "A non-parametric spatial independence test using symbolic entropy," Regional Science and Urban Economics, Elsevier, vol. 40(2-3), pages 106-115, May.
  16. He, Jingjing & Huang, Yongfu, 2012. "The Decarbonization of China's Agriculture," WIDER Working Paper Series 074, World Institute for Development Economic Research (UNU-WIDER).
  17. Fingleton, Bernard, 2010. "Predicting the geography of house prices," LSE Research Online Documents on Economics 33507, London School of Economics and Political Science, LSE Library.
  18. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
  19. Corrado, L. & Fingleton, B., 2011. "Multilevel Modelling with Spatial Effects," SIRE Discussion Papers 2011-13, Scottish Institute for Research in Economics (SIRE).
  20. Osman Doğan, 2015. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term," Econometrics, MDPI, vol. 3(1), pages 1-27, February.
  21. Alexandre Gori Maia & Jose Daniel Morales Martinez & Leticia Junqueira Marteleto & Cristina Guimaraes Rodrigues & Luiz Gustavo Sereno, 2023. "Can the Content of Social Networks Explain Epidemic Outbreaks?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(1), pages 1-34, February.
  22. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
  23. Huang, Yongfu, 2014. "Drivers of rising global energy demand: The importance of spatial lag and error dependence," Energy, Elsevier, vol. 76(C), pages 254-263.
  24. Xuan Liang & Jiti Gao & Xiaodong Gong, 2022. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1784-1802, October.
  25. Marco Crocco & Fabiana Santos & Pedro Amaral, 2010. "The Spatial Structure of Financial Development in Brazil," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 181-203.
  26. Jin, Fei & Lee, Lung-fei, 2015. "On the bootstrap for Moran’s I test for spatial dependence," Journal of Econometrics, Elsevier, vol. 184(2), pages 295-314.
  27. Bernard Fingleton & Julie Gallo & Alain Pirotte, 2018. "A multidimensional spatial lag panel data model with spatial moving average nested random effects errors," Empirical Economics, Springer, vol. 55(1), pages 113-146, August.
  28. Pedro Amaral & Mauro Lemos & Rodrigo Simões & Flávia Chein, 2010. "Regional Imbalances and Market Potential in Brazil," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 463-482.
  29. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
  30. Fingleton, Bernard & Palombi, Silvia, 2013. "Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 649-660.
  31. 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.
  32. 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.
  33. Broll, Udo & Roldán-Ponce, Antonio & Wahl, Jack E., 2010. "Spatial allocation of capital: The role of risk preferences," Dresden Discussion Paper Series in Economics 03/10, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
  34. Philipp Otto & Wolfgang Schmid, 2023. "A general framework for spatial GARCH models," Statistical Papers, Springer, vol. 64(5), pages 1721-1747, October.
  35. Daniel Morales Martínez & Alexandre Gori Maia & Junior Ruiz Garcia, 2022. "Spatial diffusion of efficient irrigation systems: a study of São Paulo, Brazil," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(3), pages 690-712, July.
  36. Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.
  37. Moscone, F. & Tosetti, E., 2011. "GMM estimation of spatial panels with fixed effects and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 487-497, September.
  38. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
  39. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
  40. Gianfranco Piras, 2013. "Efficient GMM Estimation of a Cliff and Ord Panel Data Model with Random Effects," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 370-388, September.
  41. Ye, Qianting & Liang, Huajie & Lin, Kuan-Pin & Long, Zhihe, 2019. "Hierarchically spatial autoregressive and moving average error model," Economic Modelling, Elsevier, vol. 76(C), pages 14-30.
  42. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
  43. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
  44. Anobua Acha Arnaud Martial & Huang Dechun & Liton Chandra Voumik & Md. Jamsedul Islam & Shapan Chandra Majumder, 2023. "Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries," Energies, MDPI, vol. 16(12), pages 1-21, June.
  45. Bernard Fingleton & Silvia Palombi, 2016. "Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 7-26, March.
  46. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
  47. Moscone, Francesco & Tosetti, Elisa, 2010. "GMM estimation of Spatial Panels with Fixed Effects," MPRA Paper 20152, University Library of Munich, Germany.
  48. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.
  49. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
  50. Harry H. Kelejian & Gianfranco Piras, 2018. "Important overlooked IVs in spatial models," Empirical Economics, Springer, vol. 55(1), pages 69-83, August.
  51. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
  52. Marius C. O. Amba & Taoufiki Mbratana & Julie Gallo, 2023. "Spatial panel simultaneous equations models with error components," Empirical Economics, Springer, vol. 65(3), pages 1149-1196, September.
  53. Bernard Fingleton, 2020. "Italexit, is it another Brexit?," Journal of Geographical Systems, Springer, vol. 22(1), pages 77-104, January.
  54. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
  55. Bernard Fingleton, 2016. "Regional Science in a time of uncertainty," REGION, European Regional Science Association, vol. 3, pages 61-69.
  56. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
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