IDEAS home Printed from
   My bibliography  Save this book chapter

Policy and people at the small-area level: using micro-simulation to create synthetic spatial data

In: Handbook of Research Methods and Applications in Spatially Integrated Social Science


  • Ann Harding
  • Robert Tanton


The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer for students and budding researchers who wish to investigate social, economic and behavioural phenomena by giving explicit consideration to the roles of space and place. The majority of chapters provide an emphasis on demonstrating applications of methods, tools and techniques that are used in SISS research, including long-established and relatively new approaches.

Suggested Citation

  • Ann Harding & Robert Tanton, 2014. "Policy and people at the small-area level: using micro-simulation to create synthetic spatial data," Chapters,in: Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 25, pages 560-586 Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:14407_25

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Kerrie Bremner, 2005. "Net tax thresholds for Australian families," Economic Roundup, The Treasury, Australian Government, issue 3, pages 39-52, September.
    2. Dimitris Ballas & Graham P Clarke, 2001. "Modelling the local impacts of national social policies: a spatial microsimulation approach," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 19(4), pages 587-606, August.
    3. Dimitris Ballas & Graham P Clarke, 2001. "Modelling the Local Impacts of National Social Policies: A Spatial Microsimulation Approach," Environment and Planning C, , vol. 19(4), pages 587-606, August.
    4. P Williamson & M Birkin & P H Rees, 1998. "The estimation of population microdata by using data from small area statistics and samples of anonymised records," Environment and Planning A, Pion Ltd, London, vol. 30(5), pages 785-816, May.
    5. Ann Harding & Quoc Ngu Vu & Alicia Payne & Richard Percival, 2009. "Trends in Effective Marginal Tax Rates in Australia from 1996-97 to 2006-07," The Economic Record, The Economic Society of Australia, vol. 85(271), pages 449-461, December.
    6. Laurie Brown & Annie Abello & Ben Phillips & Ann Harding, 2004. "Moving towards an Improved Microsimulation Model of the Australian Pharmaceutical Benefits Scheme," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 37(1), pages 41-61, March.
    7. Robert Tanton & Yogi Vidyattama & Justine McNamara & Quoc Ngu Vu & Ann Harding, 2009. "Old, Single and Poor: Using Microsimulation and Microdata to Analyse Poverty and the Impact of Policy Change among Older Australians," Economic Papers, The Economic Society of Australia, vol. 28(2), pages 102-120, June.
    8. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, August.
    9. Ann Harding & Quoc Ngu Vu & Robert Tanton & Yogi Vidyattama, 2009. "Improving Work Incentives and Incomes for Parents: The National and Geographic Impact of Liberalising the Family Tax Benefit Income Test," The Economic Record, The Economic Society of Australia, vol. 85(s1), pages 48-58, September.
    10. Peter Saunders & Bruce Bradbury, 2006. "Monitoring Trends in Poverty and Income Distribution: Data, Methodology and Measurement," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 341-364, September.
    11. Sharyn Lymer & Laurie Brown & Ann Harding & Mandy Yap, 2009. "Predicting the need for aged care services at the small area level: the CAREMOD spatial microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 27-42.
    12. Robert Tanton & Yogi Vidyattama & Binod Nepal & Justine McNamara, 2011. "Small area estimation using a reweighting algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 931-951, October.
    13. Dimitris Ballas & Graham Clarke & John Dewhurst, 2006. "Modelling the Socio-economic Impacts of Major Job Loss or Gain at the Local Level: a Spatial Microsimulation Framework," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(1), pages 127-146.
    14. P Williamson & M Birkin & P H Rees, 1998. "The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records," Environment and Planning A, , vol. 30(5), pages 785-816, May.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:elg:eechap:14407_25. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darrel McCalla). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.