IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201025.html
   My bibliography  Save this paper

An Empirical Dissemination Of The Personal Income Tax Regime In South Africa Using A Microsimulation Tax Model

Author

Listed:
  • Yolande van Heerden

    (Department of Economics, University of Pretoria)

  • Niek Schoeman

    (Department of Economics, University of Pretoria)

Abstract

This article is primarily concerned with the profile of the tax liability of individual taxpayers in South Africa as well as the impact of tax reform policies since the mid-nineties on the progressivity of their tax liability using a static microsimulation tax model. Using the 2005/06 Income and Expenditure survey data from Statistics South Africa, the revenue base had to be determined and aligned to the official figures published by the South African Revenue Services and the National Treasury. This exercise required substantial manipulation of the data but the outcome is surprisingly close to the official R104 billion compared to the published SARS figure of R96 billion. The model allows for the dissemination of individual taxpayers by income groups, gender, educational level, age group, etc. Testing for progressivity, the results show that although still more progressive than most other tax structures world-wide, the level of skewness has marginally declined over the past few years with the share of those in the lower income groups gradually increasing. This phenomenon is also enhanced by relatively more taxpayers entering the tax net at this level. With the top marginal rates already at the current high levels little can be done at the higher end of the scale to expand the revenue base and therefore the solution lies in raising the contribution of those in the lower but especially the middle income groups. As far as gender is concerned, disparities in the labour market require an examination of tax policy that may contribute towards a more equal distribution of individual tax on a gender basis. The results also show that tax policy adjustments that contribute towards the improvement of the quality of education would also be a positive investment for future revenue collection.

Suggested Citation

  • Yolande van Heerden & Niek Schoeman, 2010. "An Empirical Dissemination Of The Personal Income Tax Regime In South Africa Using A Microsimulation Tax Model," Working Papers 201025, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201025
    as

    Download full text from publisher

    File URL: http://www.up.ac.za/media/shared/61/WP/wp_2010_25.zp39412.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. N. Hérault, 2006. "Building And Linking A Microsimulation Model To A Cge Model For South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 74(1), pages 34-58, March.
    2. Nicolas Herault, 2007. "Trade Liberalisation, Poverty and Inequality in South Africa: A Computable General Equilibrium‐Microsimulation Analysis," The Economic Record, The Economic Society of Australia, vol. 83(262), pages 317-328, September.
    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. Gregory John Lee & Gareth Rees, 2016. "Give and Take Between Households and the State: Development and Application of A Benefaction–Contribution Ratio," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(2), pages 362-379, June.
    2. Siameh, Celestine O., 2020. "Universal Basic Income, Targeted Cash Transfers, and Progressive Taxation: Reducing Income Inequality in South Africa," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304571, Agricultural and Applied Economics Association.

    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. Maheshwar Rao & Robert Tanton & Yogi Vidyattama, 2013. "‘A Systems Approach to Analyse the Impacts of Water Policy Reform in the Murray-Darling Basin: a conceptual and an analytical framework’," NATSEM Working Paper Series 13/22, University of Canberra, National Centre for Social and Economic Modelling.
    2. George Verikios & Xiao-guang Zhang, 2010. "Structural Change in the Australian Electricity Industry During the 1990s and the Effect on Household Income Distribution," Centre of Policy Studies/IMPACT Centre Working Papers g-207, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Nicolas Hérault, 2009. "Sequential Linking of Computable General Equilibrium and Microsimulation Models," Melbourne Institute Working Paper Series wp2009n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. Andreas Peichl, 2009. "The Benefits and Problems of Linking Micro and Macro Models — Evidence from a Flat Tax Analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(2), pages 301-329, November.
    5. Keogh-Brown, Marcus & McDonald, Scott & Edmunds, W. John & Beutels, Philippe & Smith, Richard D., 2008. "The macroeconomic costs of a global influenza pandemic," Conference papers 331699, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Jeong-Soo OH & Phouphet Kyophilavong, 2015. "Trade Liberalization and Poverty in Developing Countries: Literature Survey," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(2), pages 86-94, Fabruary.
    7. Ahmed, Vaqar & O' Donoghue, Cathal, 2008. "Welfare impact of external balance in pakistan: CGE-microsimulation analysis," MPRA Paper 9267, University Library of Munich, Germany.
    8. Narayanan, Badri G. & Hertel, Thomas W. & Horridge, J. Mark, 2010. "Disaggregated data and trade policy analysis: The value of linking partial and general equilibrium models," Economic Modelling, Elsevier, vol. 27(3), pages 755-766, May.
    9. Peichl, Andreas, 2008. "The benefits of linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 08-6, University of Cologne, FiFo Institute for Public Economics.
    10. Phimmavong, Somvang & Keenan, Rodney J., 2020. "Forest plantation development, poverty, and inequality in Laos: A dynamic CGE microsimulation analysis," Forest Policy and Economics, Elsevier, vol. 111(C).
    11. Hélène Maisonnave & Bernard Decaluwe & Margaret Chitiga, 2016. "Does South African Affirmative Action Policy Reduce Poverty? A CGE Analysis," Poverty & Public Policy, John Wiley & Sons, vol. 8(3), pages 212-227, September.
    12. Herault, Nicolas & Thurlow, James, 2009. "Agricultural Distortions, Poverty and Inequality in South Africa," Agricultural Distortions Working Paper Series 52792, World Bank.
    13. Pauw, Karl & Leibbrandt, Murray, 2012. "Minimum Wages and Household Poverty: General Equilibrium Macro–Micro Simulations for South Africa," World Development, Elsevier, vol. 40(4), pages 771-783.
    14. Liyanaarachchi, Tilak S. & Naranpanawa, Athula & Bandara, Jayatilleke S., 2016. "Impact of trade liberalisation on labour market and poverty in Sri Lanka. An integrated macro-micro modelling approach," Economic Modelling, Elsevier, vol. 59(C), pages 102-115.
    15. Narayana, Badri G. & Hertel, Thomas W. & Horridge, J. Mark, 2010. "Linking Partial and General Equilibrium Models: A GTAP Application Using TASTE," Technical Papers 283427, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Mabugu, Ramos & Chitiga, Margaret, 2009. "Is increased agricultural protection beneficial for South Africa?," Economic Modelling, Elsevier, vol. 26(1), pages 256-265, January.
    17. Nicolas Hérault, 2009. "Les apports de la micro-simulation aux modèles d’équilibre général : application au cas de l’Afrique du Sud," Économie et Prévision, Programme National Persée, vol. 187(1), pages 123-135.
    18. Ole Boysen & Alan Matthews, 2008. "The Impact of Developed Country Agricultural Trade Liberalization on Poverty: A Survey," Working Papers hal-03416399, HAL.
    19. van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
    20. Tiberti, Luca & Maisonnave, Helene & Chitiga, Margaret & Mabugu, Ramos, 2018. "Reforming grants to tackle child poverty: An integrated macro-micro approach," World Development, Elsevier, vol. 112(C), pages 272-281.

    More about this item

    Keywords

    Micro-simulation; Tax revenue base; Personal income tax; Tax policy;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pre:wpaper:201025. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.