IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2000n13.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • Mark N. Harris & Simon Feeny, 2000. "Habit Persistence in Effective Tax Rates: Evidence Using Australian Tax Entities," Melbourne Institute Working Paper Series wp2000n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2000n13
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2000n13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Don Fullerton, 1983. "Which Effective Tax Rate?," NBER Working Papers 1123, National Bureau of Economic Research, Inc.
    4. 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.
    5. Zimmerman, Jerold L., 1983. "Taxes and firm size," Journal of Accounting and Economics, Elsevier, vol. 5(1), pages 119-149, April.
    6. Sevestre, P. & Trognon, A., 1985. "A note on autoregressive error components models," Journal of Econometrics, Elsevier, vol. 28(2), pages 231-245, May.
    7. 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.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yinka Mashood Salaudeen* & Rafiu Olayinka Akano, 2018. "Non-Linearity in Determinants of Corporate Effective Tax Rate: Further Evidence from Nigeria," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(3), pages 56-63, 03-2018.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mark Harris & Simon Feeny, 2003. "Habit persistence in effective tax rates," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 951-958.
    2. Michael Lee & Ritchard Longmire & Laszlo Matyas & Mark Harris, 1998. "Growth convergence: some panel data evidence," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 907-912.
    3. Giovanni S.F. Bruno & Anna M. Falzoni & Rodolfo Helg, 2004. "Measuring the effect of globalization on labour demand elasticity: An empirical application to OECD countries," KITeS Working Papers 153, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Feb 2004.
    4. Dong Xuan Nguyen, 2016. "Trade liberalization and export sophistication in Vietnam," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(8), pages 1071-1089, November.
    5. Petreski, Marjan, 2009. "Analysis of exchange-rate regime effect on growth: theoretical channels and empirical evidence with panel data," Economics Discussion Papers 2009-49, Kiel Institute for the World Economy (IfW Kiel).
    6. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Durand, Robert B. & Greene, William H. & Harris, Mark N. & Khoo, Joye, 2022. "Heterogeneity in speed of adjustment using finite mixture models," Economic Modelling, Elsevier, vol. 107(C).
    9. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    10. repec:hal:spmain:info:hdl:2441/dambferfb7dfprc9m052g20qh is not listed on IDEAS
    11. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    12. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    13. Hujer, Reinhard & Zeiss, Christopher, 2006. "Macroeconomic Effects of Short-Term Training Measures on the Matching Process in Western Germany," IZA Discussion Papers 2489, Institute of Labor Economics (IZA).
    14. Blundell, Richard & Bond, Stephen, 2023. "Reprint of: Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 234(S), pages 38-55.
    15. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    16. Yoshitsugu Kitazawa, 2003. "Dynamic Panel Data Model and Moment Generating Function," Discussion Papers 13, Kyushu Sangyo University, Faculty of Economics.
    17. Dhaene, Geert & Jochmans, Koen, 2016. "Likelihood Inference In An Autoregression With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1178-1215, October.
    18. Jacques Mairesse & Bronwyn H. Hall & Benoît Mulkay, 1999. "Firm-Level Investment in France and the United States: An Exploration of What We Have Learned in Twenty Years," Annals of Economics and Statistics, GENES, issue 55-56, pages 27-67.
    19. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    20. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    21. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2019. "Democracy Does Cause Growth," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 47-100.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F18 - International Economics - - Trade - - - Trade and Environment

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iae:iaewps:wp2000n13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.