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Spatial Effects and Non-Linearity in Spatial Regression Models: Simulation Results for Several Misspecification Tests

In: Spatial Dynamics, Networks and Modelling

Author

Listed:
  • Thomas de Graaff
  • Kees van Montfort
  • Peter Nijkamp

Abstract

This important new book provides a valuable set of studies on spatial dynamics, emerging networks and modelling efforts. It employs interdisciplinary concepts alongside innovative trajectories to highlight recent advances in analysing and modelling the spatial economy, transport networks, industrial dynamics and regional systems. It is argued that modelling network processes at different spatial scales provides critical information for the design of plans and policies. Furthermore, a key issue in the current complex and heterogeneous landscape is the adoption and validation of new approaches, models and methodologies, which are able to grasp the emergent aspects of economic uncertainty and discontinuity, as well as overcome the current difficulties of carrying out appropriate forecasts. In exploring diverse pathways for theoretical, methodological and empirical analysis, this exciting volume offers promising and evolutionary perspectives on the modern spatial network society.

Suggested Citation

  • Thomas de Graaff & Kees van Montfort & Peter Nijkamp, 2006. "Spatial Effects and Non-Linearity in Spatial Regression Models: Simulation Results for Several Misspecification Tests," Chapters, in: Aura Reggiani & Peter Nijkamp (ed.), Spatial Dynamics, Networks and Modelling, chapter 5, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:3887_5
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    Cited by:

    1. Nadine Levratto & Denis Carré, 2014. "Regional dynamics and start-ups: Evidence from French departments in 2011," EconomiX Working Papers 2014-45, University of Paris Nanterre, EconomiX.
    2. Mamiit, Rusyan Jill & Yanagida, John & Villanueva, Donald, 2020. "Farm locations and dwelling clusters: Do they make production and technical efficiency spatially contagious?," Food Policy, Elsevier, vol. 92(C).

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