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The SMILE Model: Construction and Calibration

In: Spatial Microsimulation for Rural Policy Analysis

Author

Listed:
  • Cathal O’Donoghue

    (Teagasc)

  • Niall Farell

    (National University of Ireland)

  • Karyn Morrissey

    (University of Liverpool)

  • John Lennon

    (Teagasc)

  • Dimitris Ballas

    (University of Sheffield)

  • Graham Clarke

    (University of Leeds)

  • Stephen Hynes

    (National University of Ireland)

Abstract

In the previous chapter we reviewed the use of spatial microsimulation models for policy analysis and reviewed the type of applications for which the methodology has been employed. In the absence of spatially representative micro-data in Ireland, we require a technique for generating this data and hence the microsimulation model. In this chapter we describe a number of methodologies for doing this and evaluate the performance of methods chosen for our ‘Simulation Model of the Irish Local Economy’ (SMILE). To recap, the primary focus of the SMILE framework is to assess the socio-economic impacts of policy or economic changes. The motivation for the model is to assess the impact of these changes in the context of agricultural, rural and environmental policy in addition to the more standard analysis of economic and social policy change.

Suggested Citation

  • Cathal O’Donoghue & Niall Farell & Karyn Morrissey & John Lennon & Dimitris Ballas & Graham Clarke & Stephen Hynes, 2013. "The SMILE Model: Construction and Calibration," 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 55-86, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-30026-4_4
    DOI: 10.1007/978-3-642-30026-4_4
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    Citations

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    Cited by:

    1. Melanie N Tomintz & Bernhard Kosar & Victor M García-Barrios, 2017. "simSALUD: Design and Implementation of an Open-source Wizard based Spatial Microsimulation Framework," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 118-143.
    2. Kilgarriff, Paul & McDermott, T.K.J. & Vega, Amaya & Morrissey , Karyn & O’Donoghue, Cathal, 2018. "Flooding disruption and the impact on the spatial distribution of commuter’s income," Working Papers 309608, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    3. Niall Farrell, 2024. "Small Area Poverty Estimation by Conditional Monte Carlo," Papers WP773, Economic and Social Research Institute (ESRI).
    4. Upton, Vincent & Ryan, Mary & O’Donoghue, Cathal, 2014. "A spatially explicit national demand model for forest recreation in Ireland," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170791, Agricultural Economics Society.
    5. Niall Farrell & Stefano Ceolotto, 2024. "Keeping our heads above water: Spatially heterogeneous social vulnerabilities and climate adaptation," Papers WP771, Economic and Social Research Institute (ESRI).
    6. O’Donoghue, Cathal & McKinstry, Alistair & Green, Stuart & Fealy, Reamonn & Heanue, Kevin & Ryan, Mary & Connolly, Kevin & Desplat, J.C. & Horan, Brendan, 2016. "A Blueprint for a Big Data Analytical Solution to Low Farmer Engagement with Financial Management," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-24, June.

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