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Building a Static Farm Level Spatial Microsimulation Model: Statistically Matching the Irish National Farm Survey to the Irish Census of Agriculture

Author

Listed:
  • Stephen Hynes

    (Rural Economy and Development Programme, Teagasc, Athenry, Co. Galway, Ireland)

  • Karyn Morrissey

    (Rural Economy and Development Programme, Teagasc, Athenry, Co. Galway, Ireland)

  • Cathal O’Donoghue

    (Rural Economy and Development Programme, Teagasc, Athenry, Co. Galway, Ireland)

Abstract

This paper reviews a statistical matching technique used to match the Irish Census of Agriculture to the Irish National Farm Survey (NFS) to produce a farm level spatial microsimulation model for Ireland. Using statistical matching techniques, economists can now create attribute rich datasets by matching across the common variables in two or more datasets. Static spatial microsimulation then uses theses synthetic datasets to analyse the relationships among regions and localities and to project the spatial implications of economic development and policy changes. The farm level spatial microsimulation model developed in this paper uses one of many combinational optimatisation techniques - simulated annealing - to match the Census and the NFS. We then use this matched NFS and Census information to produce small area farm population microdata estimates for the year 2002. Using the newly constructed farmlevel spatial microsimulation model and the associated spatially disaggregated farm population microdata set this paper then briefly analyses the spatial distribution of family farm income in Ireland.

Suggested Citation

  • Stephen Hynes & Karyn Morrissey & Cathal O’Donoghue, 2005. "Building a Static Farm Level Spatial Microsimulation Model: Statistically Matching the Irish National Farm Survey to the Irish Census of Agriculture," Working Papers 0506, Rural Economy and Development Programme,Teagasc.
    • Handle: RePEc:tea:wpaper:0506
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    References listed on IDEAS

    as
    1. Honohan, Patrick (ed.), 1997. "EU Structural Funds in Ireland: A Mid-Term Evaluation of the CSF 1994-99," Research Series, Economic and Social Research Institute (ESRI), number PRS31.
    2. S Openshaw & L Rao, 1995. "Algorithms for Reengineering 1991 Census Geography," Environment and Planning A, , vol. 27(3), pages 425-446, March.
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    Cited by:

    1. Thia Hennessy & Shailesh Shrestha & Stephen Hynes, 2006. "The Effect of Decoupling on Farming in Ireland: A Regional Analysis," Working Papers 0611, Rural Economy and Development Programme,Teagasc.
    2. Hynes, Stephen & Farrelly, Niall & Murphy, Eithne & O'Donoghue, Cathal, 2008. "Modelling habitat conservation and participation in agri-environmental schemes: A spatial microsimulation approach," Ecological Economics, Elsevier, vol. 66(2-3), pages 258-269, June.
    3. Rahman, Azizur & Harding, Ann & Tanton, Robert & Liu, Shuangzhe, 2013. "Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 149-165.
    4. Pesti, Csaba S. & Kaposzta, Jozsef, 2008. "Adaptation Of Statistical Matching In Micro-Regional Analysis Of Agricultural Production," Bulletin of the Szent Istvan University 47555, Szent Istvan University, Faculty of Economics and Social Sciences.
    5. Ole Boysen & Ana Corina Miller & Alan Matthews, 2016. "Economic and Household Impacts of Projected Policy Changes for the Irish Agri-food Sector," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(1), pages 105-129, February.

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