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Confidence Intervals for Policy Reforms in Behavioural Tax Microsimulation Modelling

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Author Info

  • John Creedy

    () (Department of Economics, The University of Melbourne)

  • Guyonne Kalb

    () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Hsein Kew

    () (Department of Economics, The University of Melbourne)

Abstract

This paper addresses the need for a measure of the uncertainty that is associated with the results calculated through tax policy behavioural microsimulation modelling. Deriving the analytical measure would be extremely complicated. Therefore, a simulated approach is proposed which generates a pseudo sampling distribution of aggregate measures based on the sampling distribution of the estimated labour supply parameters. This approach, which is very computer intensive, is compared to a more time-efficient approach where the functional form of the sampling distribution is assumed to be normal. The results show that in many instances the results from the two approaches are quite similar. The exception is when aggregate measures for minor types of payments, involving relatively small groups of the population, are examined.

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Bibliographic Info

Paper provided by Melbourne Institute of Applied Economic and Social Research, The University of Melbourne in its series Melbourne Institute Working Paper Series with number wp2004n32.

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Length: 45 pages
Date of creation: Dec 2004
Date of revision:
Handle: RePEc:iae:iaewps:wp2004n32

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Postal: Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Victoria 3010 Australia
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References

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  1. Keane, Michael & Moffitt, Robert, 1998. "A Structural Model of Multiple Welfare Program Participation and Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 553-89, August.
  2. John Creedy & Guyonne Kalb & Rosanna Scutella, 2003. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Melbourne Institute Working Paper Series wp2003n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  3. Arthur van Soest, 1995. "Structural Models of Family Labor Supply: A Discrete Choice Approach," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 63-88.
  4. Guyonne Kalb, 2002. "Estimation of Labour Supply Models for Four Separate Groups in the Australian Population," Melbourne Institute Working Paper Series wp2002n24, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  5. John Creedy & Guyonne Kalb & Hsein Kew, 2003. "Flattening the Effective Marginal Tax Rate Structure in Australia: Policy Simulations Using the Melbourne Institute Tax and Transfer Simulator," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 36(2), pages 156-172.
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Cited by:
  1. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," Journal of Economic Inequality, Springer, vol. 4(1), pages 77-106, April.
  2. Denis Beninger & Holger Bonin & Julia Horstschräer & Grit Mühler, 2010. "Wirkungen eines Betreuungsgeldes bei bedarfsgerechtem Ausbau frühkindlicher Kindertagesbetreuung: eine Mikrosimulationsstudie," SOEPpapers on Multidisciplinary Panel Data Research 316, DIW Berlin, The German Socio-Economic Panel (SOEP).
  3. John Creedy & Guyonne Kalb, 2005. "Behavioural Microsimulation Modelling for Tax Policy Analysis in Australia: Experience and Prospects," Australian Journal of Labour Economics (AJLE), The Centre for Labour Market Research (CLMR), Curtin Business School, vol. 8(1), pages 73-110, March.
  4. John Creedy & Guyonne Kalb, 2005. "Behavioural Microsimulation Modelling With the Melbourne Institute Tax and Transfer Simulator(MITTS) : Uses and Extensions," Department of Economics - Working Papers Series 932, The University of Melbourne.

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