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Validation Issues and the Spatial Pattern of Household Income

In: Spatial Microsimulation for Rural Policy Analysis

Author

Listed:
  • Karyn Morrissey

    (University of Liverpool)

  • Cathal O’Donoghue

    (Teagasc)

Abstract

Chapter 4 described a methodology for the creation of a dataset containing micro-units, their incomes and labour market characteristics within a spatial context using spatial microsimulation methods. As static spatial microsimulation is essentially a method to create spatially disaggregated microdata that previously did not exist, an important issue relates to the validation of the synthetic data generated (Voas and Williamson 2001a). Validation techniques examine model outputs in systematic ways to reveal deficiencies/errors in the model outputs. As such, model validation forms an integral part of the overall development and application of any model. Oketch and Carrick (2005) point out that it is only through validation that the credibility and reliability of a model can be assured.

Suggested Citation

  • Karyn Morrissey & Cathal O’Donoghue, 2013. "Validation Issues and the Spatial Pattern of Household Income," Advances in Spatial Science, in: Cathal O'Donoghue & Dimitris Ballas & Graham Clarke & Stephen Hynes & Karyn Morrissey (ed.), Spatial Microsimulation for Rural Policy Analysis, edition 127, chapter 0, pages 87-102, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-30026-4_5
    DOI: 10.1007/978-3-642-30026-4_5
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    Cited by:

    1. Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
    2. Paul Kilgarriff & Cathal ODonoghue & Martin Charlton & Ronan Foley, 2016. "Intertemporal Income in Ireland 1996-2011 A Spatial Analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 123-143.

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