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Habit Persistence in Effective Tax Rates: Evidence Using Australian Tax Entities

  • Mark N. Harris

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

  • Simon Feeny

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

This paper uses administrative data from the Australian Tax Office, to model the effective tax rates (ETRs) of large Australian corporates. The extent to which there is any habit persistence in ETRs is also examined. The results suggest that unobserved entity heterogeneity is important in explaining ETRs. In terms of observed heterogeneity, entity size, level of leverage, capital intensity, foreign income and R&D, are all important explanators of ETRs. There is also evidence of a significant amount of habit persistence, implying that ETRs converge monotonically towards the statutory rate of corporation tax.

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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 wp2000n13.

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Length: 23 pages
Date of creation: Sep 2000
Date of revision:
Handle: RePEc:iae:iaewps:wp2000n13
Contact details of provider: Postal: Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Victoria 3010 Australia
Phone: +61 3 8344 2100
Fax: +61 3 8344 2111
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  1. Crepon, Bruno & Kramarz, Francis & Trognon, Alain, 1997. "Parameters of interest, nuisance parameters and orthogonality conditions An application to autoregressive error component models," Journal of Econometrics, Elsevier, vol. 82(1), pages 135-156.
  2. Gupta, Sanjay & Newberry, Kaye, 1997. "Determinants of the variability in corporate effective tax rates: Evidence from longitudinal data," Journal of Accounting and Public Policy, Elsevier, vol. 16(1), pages 1-34.
  3. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
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  5. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  6. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
  7. Sevestre, P. & Trognon, A., 1985. "A note on autoregressive error components models," Journal of Econometrics, Elsevier, vol. 28(2), pages 231-245, May.
  8. Don Fullerton, 1983. "Which Effective Tax Rate?," NBER Working Papers 1123, National Bureau of Economic Research, Inc.
  9. Mark N. Harris & Weiping Kostenko & László Mátyás & Isfaaq Timol, 2009. "The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(03), pages 399-426.
  10. Zimmerman, Jerold L., 1983. "Taxes and firm size," Journal of Accounting and Economics, Elsevier, vol. 5(1), pages 119-149, April.
  11. Harris, M.N. & Matyas, L., 1996. "A Comparative Analysis of Different Estimatiors for Dynamic Panel data Models," Monash Econometrics and Business Statistics Working Papers 4/96, Monash University, Department of Econometrics and Business Statistics.
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