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Survey Reweighting for Tax Microsimulation Modelling

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  • John Creedy

    ()
    (The Treasury)

Abstract

This paper describes a range of ‘minimum distance’ methods used to compute new weights for large cross-sectional surveys used in microsimulation modelling. Extraneous information about a range of population variables is used for calibration purposes. An iterative solution procedure is described and numerical examples are given, involving comparisons among alternative distance functions. An application to the New Zealand Household Economic Survey (HES) is reported.

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File URL: http://www.treasury.govt.nz/publications/research-policy/wp/2003/03-17/twp03-17.pdf
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Bibliographic Info

Paper provided by New Zealand Treasury in its series Treasury Working Paper Series with number 03/17.

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Length: 25
Date of creation: Sep 2003
Date of revision:
Handle: RePEc:nzt:nztwps:03/17

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Keywords: Household surveys; calibration; survey weights;

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References

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  1. Anders Klevmarken, N., 2002. "Statistical inference in micro-simulation models: incorporating external information," Mathematics and Computers in Simulation (MATCOM), Elsevier, Elsevier, vol. 59(1), pages 255-265.
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Cited by:
  1. Daniele Pacifico, 2014. "Reweight: a stata module to reweight survey data to external totals," Working Papers, Department of the Treasury, Ministry of the Economy and of Finance 5, Department of the Treasury, Ministry of the Economy and of Finance.
  2. John Creedy & Ivan Tuckwell, 2003. "Reweighting the New Zealand Household Economic Survey for Tax Microsimuilation Modelling," Treasury Working Paper Series, New Zealand Treasury 03/33, New Zealand Treasury.

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