IDEAS home Printed from https://ideas.repec.org/a/prg/jnlefa/v2013y2013i3id107.html
   My bibliography  Save this article

Research of Estimates of Tax Revenue: An Overview

Author

Listed:
  • Ondřej Bayer

Abstract

The paper deals with a summary of findings in the area of tax forecasts. It describes the basic methodology for predicting tax revenues, both in terms of the macroeconomic approach and from a microeconomic perspective. The microeconomic approach used microsimulation methods with methods based on tax elasticities. The macroeconomic approach explains the basic characteristics of regression analysis and time series analysis. It also describes methods for assessing the quality of predictions, together with the distribution of basic statistical error estimate.

Suggested Citation

  • Ondřej Bayer, 2013. "Research of Estimates of Tax Revenue: An Overview," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2013(3), pages 59-73.
    • Handle: RePEc:prg:jnlefa:v:2013:y:2013:i:3:id:107
    DOI: 10.18267/j.efaj.107
    as

    Download full text from publisher

    File URL: http://efaj.vse.cz/doi/10.18267/j.efaj.107.html
    Download Restriction: free of charge
    File URL: http://efaj.vse.cz/doi/10.18267/j.efaj.107.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.efaj.107?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John Creedy & Norman Gemmell, 2006. "Modelling Tax Revenue Growth," Books, Edward Elgar Publishing, number 4073.
    2. Thiess Buettner & Bjoern Kauder, 2010. "Revenue Forecasting Practices: Differences across Countries and Consequences for Forecasting Performance," Fiscal Studies, Institute for Fiscal Studies, vol. 31(3), pages 313-340, September.
    3. Martin Keene & Peter Thomson, 2007. "An Analysis of Tax Revenue Forecast Errors," Treasury Working Paper Series 07/02, New Zealand Treasury.
    4. Lee, Young & Gordon, Roger H., 2005. "Tax structure and economic growth," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 1027-1043, June.
    5. Paul Johnson & Peter Lambert, 1989. "Measuring the responsiveness of income tax revenue to income growth: a review and some UK values," Fiscal Studies, Institute for Fiscal Studies, vol. 10(4), pages 1-18, November.
    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. Fabio Ashtar Telarico, 2023. "Опростяване И Усъвършенстване [Simplifying and Improving]," Post-Print hal-03989969, HAL.
    2. Syeda Um Ul Baneen, 2023. "Federal Tax Revenue Forecasting of Pakistan: Alternative Approaches," PIDE-Working Papers 2023:12, Pakistan Institute of Development Economics.
    3. Burak Emil & Nemec Juraj, 2016. "Main Factors Determining the Slovak Tax System Performance," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 9(2), pages 185-197, December.
    4. Juraj Nemec & Ladislav Pompura & Vladimír Šagát, 2015. "Administrative Costs of Taxation in Slovakia," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2015(2), pages 51-61.
    5. Fabio Ashtar Telarico, 2022. "Simplify and Improve: Revisiting Bulgaria's Revenue Forecasting Models," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 633-654.

    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. Sanz Labrador, Ismael & Sanz-Sanz, José Félix, 2013. "Política fiscal y crecimiento económico: consideraciones microeconómicas y relaciones macroeconómicas," Macroeconomía del Desarrollo 5367, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. John Creedy & José Félix Sanz?Sanz, 2010. "Modelling Personal Income Taxation in Spain:Revenue Elasticities and Regional Comparisons," Department of Economics - Working Papers Series 1097, The University of Melbourne.
    3. Etsusaku Shimada, 2023. "Industry-specific analysis of the impact of changes in the macroeconomic environment on corporate profits and estimation of corporate tax revenue," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 1-61, February.
    4. Amjad Ali & Marc Audi, 2018. "Macroeconomic Environment and Taxes Revenues in Pakistan: An Application of ARDL Approach," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 7(1), pages 30-39, March.
    5. Jing Xing, 2011. "Does tax structure affect economic growth? Empirical evidence from OECD countries," Working Papers 1120, Oxford University Centre for Business Taxation.
    6. Imeda Tsindeliani & Sebastian Kot & Evgeniya Vasilyeva & Levon Narinyan, 2019. "Tax System of the Russian Federation: Current State and Steps towards Financial Sustainability," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    7. Alfò, Marco & Carbonari, Lorenzo & Trovato, Giovanni, 2023. "On the effects of taxation on growth: an empirical assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 27(5), pages 1289-1318, July.
    8. Nicholas Apergis & Alexandros Gabrielsen & Lee Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.
    9. François Facchini & Mickaël Melki, 2012. "Political Ideology and Economic Growth in a Democracy: The French Experience, 1871 - 2009," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00662838, HAL.
    10. Gechert, Sebastian & Heimberger, Philipp, 2022. "Do corporate tax cuts boost economic growth?," European Economic Review, Elsevier, vol. 147(C).
    11. Lisa Grazzini & Alessandro Petretto, 2006. "Vertical Tax Competition with Tax Sharing and Equalization Grants," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 65(1), pages 75-94, May.
    12. Andrew Phiri, 2016. "The Growth Trade-off between Direct and Indirect Taxes in South Africa: Evidence from a STR Model," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(3 (Fall)), pages 233-250.
    13. Thomann Christian, 2014. "Recent developments in Corporate Taxation in Sweden," Nordic Tax Journal, Sciendo, vol. 2014(2), pages 195-214, November.
    14. Thiess Büttner & Björn Kauder, 2008. "Methods of Revenue Forecasting: An International Comparison," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 44.
    15. Norman Gemmell & Richard Kneller & Ismael Sanz, 2014. "The growth effects of tax rates in the OECD," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1217-1255, November.
    16. Tamai, Toshiki, 2022. "Tax competition versus tax coordination in a multi-region endogenous growth model with an integrated capital market," Economic Modelling, Elsevier, vol. 114(C).
    17. Narayan Sethi & Saileja Mohanty & Sanhita Sucharita & Nanthakumar Loganathan, 2020. "Tax Reform And Economic Growth Nexus In India: Evidence From The Cointegration And Rolling-Window Causality," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(06), pages 1699-1725, December.
    18. repec:idq:ictduk:13654 is not listed on IDEAS
    19. Miyoshi, Yoshiyuki & Toda, Alexis Akira, 2017. "Growth effects of annuities and government transfers in perpetual youth models," Journal of Mathematical Economics, Elsevier, vol. 72(C), pages 1-6.
    20. Õie Renata Siimon & Oliver Lukason, 2021. "A Decision Support System for Corporate Tax Arrears Prediction," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    21. NANTOB, N'Yilimon, 2014. "Taxation and Economic Growth : An Empirical Analysis on Dynamic Panel Data of WAEMU Countries," MPRA Paper 61370, University Library of Munich, Germany, revised 30 Jan 2015.

    More about this item

    Keywords

    Forecasting; Microsimulations; Regression analysis; Tax revenue;
    All these keywords.

    JEL classification:

    • H29 - Public Economics - - Taxation, Subsidies, and Revenue - - - Other

    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:prg:jnlefa:v:2013:y:2013:i:3:id:107. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.