Accounting For Population Ageing In Tax Microsimulation Modelling By Survey Reweighting
This paper investigates the use of sample reweighting, in a behavioural tax microsimulation model, to examine the implications for government taxes and expenditure of population ageing in Australia. First, a calibration approach to sample reweighting is described, producing new weights that achieve specified population totals for selected variables. Second, the performance of the Australian Bureau of Statistics' (ABS) weights provided with the 2000-2001 Survey of Income and Housing Cost (SIHC) was examined and it was found that reweighting does not improve the simulation outcomes for the 2001 situation, so the original ABS weights were retained for 2001. Third, the implications of changes in the age distribution of the population were examined, based on population projections to 2050. A 'pure' change in the age distribution was examined by keeping the aggregate population size fixed and changing only the relative frequencies in different age-gender groups. Finally, the effects of a policy change to benefit taper rates in Australia were compared for 2001 and 2050 population weights. It is suggested that this type of exercise provides an insight into the implications for government income tax revenue and social security expenditure of changes in the population, indicating likely pressures for policy changes. Copyright Blackwell Publishing Ltd/University of Adelaide and Flinders University 2006.
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Volume (Year): 45 (2006)
Issue (Month): 1 (03)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John Creedy & Alan S. Duncan & Mark Harris & Rosanna Scutella, 2002. "Microsimulation Modelling of Taxation and the Labour Market," Books, Edward Elgar Publishing, number 2796.
- John Creedy & Grant M. Scobie, 2005. "Population Ageing and Social Expenditure in New Zealand," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 38(1), pages 19-39, 03.
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