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Dynamic models of spatial autocorrelation

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  • L Hordijk
  • P Nijkamp

Abstract

Dynamic models have been studied intensively during the last decade, particularly in the field of growth theory and diffusion analysis. Consequently, problems like temporal autocorrelation have received much attention. Recently the attention of econometricians has also concentrated on spatial autocorrelation, particularly in the field of spatial interaction models. The existence of spatial autocorrelation among spatially dispersed phenomena appears to lead to significant differences in the treatment of multiregional models. In this paper, attention will be focused on the formal aspects of dynamic spatial diffusion models. Some statistical measures for temporal - spatial autocorrelation will be constructed. In addition, a formal derivation of necessary extensions in estimation procedures for dynamic multiregional econometric models will be presented, particularly in the field of seemingly unrelated regressions and instrumental variables. The analysis will be illustrated by means of a dynamic explanatory model for the spatial dispersion of foreign workers in The Netherlands.

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Bibliographic Info

Article provided by Pion Ltd, London in its journal Environment and Planning A.

Volume (Year): 9 (1977)
Issue (Month): 5 (May)
Pages: 505-519

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Handle: RePEc:pio:envira:v:9:y:1977:i:5:p:505-519

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Cited by:
  1. Folmer, H. & Nijkamp, P., 1986. "Investment premiums : expensive but hardly effective," Serie Research Memoranda 0042, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  2. Escobal, Javier & Torero, Maximo, 2003. "Adverse Geography and Differences in Welfare in Peru," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
  3. Despotakis, V. & Giaoutzi, M. & Nijkamp, P., 1992. "Dynamic GIS models for regional sustainable development," Serie Research Memoranda 0056, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  4. Caliman, Tiziana & Di Bella, Enrico, 2011. "House Price Dynamics in Italy - La dinamica delle quotazioni immobiliari in Italia," Economia Internazionale / International Economics, Camera di Commercio di Genova, vol. 64(1), pages 37-65.
  5. Folmer, H. & Nijkamp, P., 1982. "Linear structural equation models with spatiotemporal auto- and cross- correlation," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  6. Blommestein, H.J. & Nijkamp, P., 1983. "Testing the spatial scale and the dynamic structure in regional models : a contribution to spatial econometric specification analysis," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  7. Máximo Torero & Javier Escobal, 2000. "Does Geography Explain Differences in Economic Growth in Peru?," Research Department Publications 3103, Inter-American Development Bank, Research Department.

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