IDEAS home Printed from https://ideas.repec.org/a/cto/journl/v1y1981i1p45-52.html
   My bibliography  Save this article

Limitations of the Laffer Curve as a Justification for Tax Cuts

Author

Listed:
  • David Henderson

Abstract

Professor Laffer’s paper’ leads me to ask four questions, which I shall address in turn: 1, Is the Laffer curve an accurate depiction of economic reality? 2. Are we in a prohibitive region of the Laffer curve, that is, a region in which a tax rate cut would increase tax revenues? 3. If we are not in a prohibitive region, could we cut income tax rates and get the positive output effects without also cutting government spending? 4. Should we let our answer to the second and third questions determine our position on cutting taxes?...

Suggested Citation

  • David Henderson, 1981. "Limitations of the Laffer Curve as a Justification for Tax Cuts," Cato Journal, Cato Journal, Cato Institute, vol. 1(1), pages 45-52, Spring.
    • Handle: RePEc:cto:journl:v:1:y:1981:i:1:p:45-52
    as

    Download full text from publisher

    File URL: http://www.cato.org/sites/cato.org/files/serials/files/cato-journal/1981/5/cj1n1-3.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hüseyin ŞEN & Zeynep Burcu BULUT-ÇEVIK, 2021. "The Revenue-Maximizing Corporate Income Tax Rate for Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-142, December.
    2. Maria O. Kakaulina, 2017. "Visual Representation of Laffer Curve Factoring in Implications of Capital Outflow," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 3(2), pages 103-114.
    3. David R. Henderson, 1989. "Are We All Supply‐Siders Now?," Contemporary Economic Policy, Western Economic Association International, vol. 7(4), pages 116-128, October.
    4. Tchai Tavor & Limor Dina Gonen & Uriel Spiegel, 2021. "Reservations on the classical Laffer curve," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 34(4), pages 479-493, December.
    5. Şen, Hüseyin & Bulut-Çevik, Zeynep Burcu & Kaya, Ayşe, 2017. "The Khaldun-Laffer Curve Revisited: A Personal Income Tax-Based Analysis for Turkey," MPRA Paper 78850, University Library of Munich, Germany, revised 27 Apr 2017.

    More about this item

    Keywords

    Government; taxation; revenue; tax cuts;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:cto:journl:v:1:y:1981:i:1:p:45-52. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emily Ekins (email available below). General contact details of provider: https://edirc.repec.org/data/catoous.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.