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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

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  • Stephen Hynes
  • Karyn Morrissey
  • Cathal O'donoghue

Abstract

This paper looks at the statistical matching technique used to match the Irish Census of Agriculture to the Irish National Farm Survey (NFS) to produce a farm level static spatial microsimulation model of Irish agriculture. The match produces a spatially disaggregated population microdata set of farm households for all of Ireland. Using statistical matching techniques, economists can now create more attribute rich datasets by matching across the common variables in two or more datasets. Static spatial microsimulation then uses these synthetic datasets to analyse the relationships among regions and localities and to project the spatial implications of economic development and policy changes in rural areas. The Irish agriculture microsimulation model uses one of many combinational optimatisation techniques - simulated annealing - to match the Census of Agriculture and the NFS. The static model uses this matched NFS and Census information to produce small area (District Electric Divisions (DED)) population microdata estimates for a particular year. Using the matched NFS/Census microdata, this paper will then analysis the regional farm income distribution for Ireland.

Suggested Citation

  • Stephen Hynes & Karyn Morrissey & Cathal O'donoghue, 2006. "Building a Static Farm Level Spatial Microsimulation Model: Statistically Matching the Irish National Farm Survey to the Irish Census of Agriculture," ERSA conference papers ersa06p431, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa06p431
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa06/papers/431.pdf
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    References listed on IDEAS

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    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, June.
    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. 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.
    4. 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.
    5. 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.

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