Small area estimation using a reweighting algorithm
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Robert Tanton & Paul Williamson & Ann Harding, 2014. "Comparing Two Methods of Reweighting a Survey File to Small Area Data," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 76-99.
- Maheshwar Rao & Robert Tanton & Yogi Vidyattama, 2013. "‘A Systems Approach to Analyse the Impacts of Water Policy Reform in the Murray-Darling Basin: a conceptual and an analytical framework’," NATSEM Working Paper Series 13/22, University of Canberra, National Centre for Social and Economic Modelling.
- Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Matt Ruther & Galen Maclaurin & Stefan Leyk & Barbara Buttenfield & Nicholas Nagle, 2013. "Validation of spatially allocated small area estimates for 1880 Census demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(22), pages 579-616, September.
- M. Esteban Muñoz H. & Ivan Dochev & Hannes Seller & Irene Peters, 2016. "Constructing a Synthetic City for Estimating Spatially Disaggregated Heat Demand," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 66-88.
- Alex Fenton, 2013. "Small-area measures of income poverty," CASE Papers case173, Centre for Analysis of Social Exclusion, LSE.
- repec:cep:sticas:/173 is not listed on IDEAS
- Yogi Vidyattama & Maheshwar Rao & Itismita Mohanty & Robert Tanton, 2014. "Modelling the impact of declining Australian terms of trade on the spatial distribution of income," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 100-126.
- Srini Vasan & Adelamar Alcantara, 2016. "GIS-based Methods for Estimating Missing Poverty Rates & Projecting Future Rates in Census Tracts," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 1-13, August.
- Alex Fenton, 2013. "Small-area measures of income poverty," CASE - Social Policy in a Cold Climate Working Paper 01, Centre for Analysis of Social Exclusion, LSE.
- Fenton, Alex, 2013. "Small-area measures of income poverty," LSE Research Online Documents on Economics 51269, London School of Economics and Political Science, LSE Library.
- Deborah Schofield & Rupendra Shrestha & Simon Kelly & Lennert Veerman & Robert Tanton & Megan Passey & Theo Vos & Michelle Cunich & Emily Callander, 2014. "Health&WealthMOD2030: A Microsimulation Model of the Long Term Economic Impacts of Disease Leading to Premature Retirements of Australians Aged 45-64 Years Old," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 94-118.
- 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.
- Oâ€™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 (IFAMA), vol. 19(A).
- Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
More about this item
StatisticsAccess and download statistics
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:bla:jorssa:v:174:y:2011:i:4:p:931-951. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/rssssea.html .
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.
We have no references for this item. You can help adding them by using 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.