Reweighting Household Surveys for Tax Microsimulation Modelling: An Application to the New Zealand Household Economic Survey
AbstractThis paper reports a reweighting exercise for the New Zealand Household Economic Survey, which is the basis of the Treasury’s microsimulation model, TaxMod. Comparisons of benefit expenditures in a variety of demographic groups, along with population data, reveal that TaxMod estimates differ substantially from totals based on administrative data, when the weights provided by Statistics New Zealand are used. After describing the method used to compute new weights, the calibration requirements are reported. These relate to the age structure of the population and the number of beneficiaries for Unemployment Benefit, Domestic Purposes Benefit, Invalid’s and Sickness Benefits and Family Support and Tax Credits. The revised weights and expenditure estimates are reported and the resulting distribution of income examined. The new weights are found to produce much improved expenditure estimates, while having little effect on the resulting income distribution. The effects of reweighting are demonstrated using a simple policy simulation.
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Bibliographic InfoArticle provided by Bankwest Curtin Economics Centre (BCEC), Curtin Business School in its journal Australian Journal of Labour Economics.
Volume (Year): 7 (2004)
Issue (Month): 1 (March)
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Postal: GPO Box U1987, Perth WA 6845
Web page: http://business.curtin.edu.au/research/publications/journals/ajle/
More information through EDIRC
Labor Force and Employment; Size; and Structure (by industry; occupation; demographic characteristics; etc.) Survey Methods Model Evaluation and Testing;
Find related papers by JEL classification:
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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