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A Spatial Cliff-Ord-Type Model With Heteroskedastic Innovations: Small And Large Sample Results

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  • Irani Arraiz
  • David M. Drukker
  • Harry H. Kelejian
  • Ingmar R. Prucha
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    Abstract

    In this paper, we specify a linear Cliff-and-Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate multistep GMM/IV-type estimation procedures for the parameters of the model. We also give the limiting distributions for our suggested estimators and consistent estimators for their asymptotic variance-covariance matrices. We conduct a Monte Carlo study to show that the derived large-sample distribution provides a good approximation to the actual small-sample distribution of our estimators. Copyright (c) 2009, Wiley Periodicals, Inc.

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    Bibliographic Info

    Article provided by Wiley Blackwell in its journal Journal of Regional Science.

    Volume (Year): 50 (2010)
    Issue (Month): 2 ()
    Pages: 592-614

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    Handle: RePEc:bla:jregsc:v:50:y:2010:i:2:p:592-614

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    Cited by:
    1. Yihua Yu & Li Zhang & Fanghua Li & Xinye Zheng, 2013. "Strategic interaction and the determinants of public health expenditures in China: a spatial panel perspective," The Annals of Regional Science, Springer, vol. 50(1), pages 203-221, February.
    2. Xu, Wan & Khachatryan, Hayk, 2013. "The Impact of Integrated Pest Management Practices on U.S. National Nursery Industry Annul Sales Revenue: An Application of Smooth Transition Spatial Autoregressive Models," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142961, Southern Agricultural Economics Association.
    3. Jin, Fei & Lee, Lung-fei, 2012. "Approximated likelihood and root estimators for spatial interaction in spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 446-458.
    4. Atreya, Ajita & Ferreira, Susana, 2012. "Spatial Variation in Flood Risk Perception: A Spatial Econometric Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124863, Agricultural and Applied Economics Association.
    5. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    6. Harald Badinger & Peter Egger, 2013. "Estimation and testing of higher-order spatial autoregressive panel data error component models," Journal of Geographical Systems, Springer, vol. 15(4), pages 453-489, October.
    7. Suárez Cano, Patricia & Mayor Fernández, Matías & Cueto Iglesias, Begoña, 2011. "How important is access to employment offices in Spain? An urban and non-urban perspective," Investigaciones Regionales, Asociación Española de Ciencia Regional, issue 21, pages 119-140.
    8. Shang, Qingyan & Poon, Jessie P.H. & Yue, Qingtang, 2012. "The role of regional knowledge spillovers on China's innovation," China Economic Review, Elsevier, vol. 23(4), pages 1164-1175.
    9. Harald Badinger & Peter Egger, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 4847, CESifo Group Munich.
    10. Oliviero Carboni, 2013. "Spatial and industry proximity in collaborative research: evidence from Italian manufacturing firms," The Journal of Technology Transfer, Springer, vol. 38(6), pages 896-910, December.
    11. Ward, Patrick S. & Pede, Valerien O., 2013. "Spatial Patterns of Technology Di usion: The Case of Hybrid Rice in Bangladesh," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150793, Agricultural and Applied Economics Association.
    12. Oliviero A. Carboni, 2013. "A spatial analysis of R&D: the role of industry proximity," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(8), pages 820-839, November.
    13. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
    14. Sueli Moro & Reginaldo J. Santos, 2013. "The characteristics and evolution of the Brazilian spatial urban system: empirical evidences for the long-run, 1970-2010," Textos para Discussão Cedeplar-UFMG 474, Cedeplar, Universidade Federal de Minas Gerais.
    15. Monkkonen, Paavo & Wong, Kelvin & Begley, Jaclene, 2012. "Economic restructuring, urban growth, and short-term trading: The spatial dynamics of the Hong Kong housing market, 1992–2008," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 396-406.
    16. Han, Xiaoyi & Lee, Lung-fei, 2013. "Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 250-271.
    17. Roger Bivand & Gianfranco Piras, 2013. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Working Papers 201301, Regional Research Institute, West Virginia University.
    18. OA. Carboni & C. Detotto, 2013. "The economic consequences of crime in Italy," Working Paper CRENoS 201303, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Adelar Fochezatto & Iván G. Peyré Tartaruga, 2014. "Estruturaprodutiva Potencialmente Inovadora E Desenvolvimento Local: Estudo Docaso Dos Municípios Do Rio Grande Do Sul Usando Econometria Espacial," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 161, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Gianfranco Piras & Paolo Postiglione & Patricio Aroca, 2012. "Specialization, R&D and productivity growth: evidence from EU regions," The Annals of Regional Science, Springer, vol. 49(1), pages 35-51, August.
    21. 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.
    22. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.

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