IDEAS home Printed from https://ideas.repec.org/p/hhs/umnees/0955.html

The quality of the estimators of the ETI

Author

Listed:

Abstract

Measuring the elasticity of taxable income (ETI) is central for tax policy design. Yet, there are few arguments which support or infirm that current methods yield measurements of the ETI that can be trusted. Our first purpose is to use simulation methods to assess the bias and precision of the prevalent methods used in the literature (IV estimation and bunching methods). Thereby, we aim at (i) explaining the huge differences in empirical results, and (ii) providing arguments in favor of or against using these methods. Our second purpose is to suggest indirect inference estimation to improve the quality of the measurement. We find that the IV regression estimators may suffer from considerable bias and be quite imprecise, whereas the bunching estimators perform better in our controlled environment. We also show that using more of the information available in the data, estimators based on indirect inference principles produce more precise estimates of the ETI than any of the most commonly used methods.

Suggested Citation

  • Aronsson, Thomas & Jenderny, Katharina & Lanot, Gauthier, 2017. "The quality of the estimators of the ETI," Umeå Economic Studies 955, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0955
    as

    Download full text from publisher

    File URL: http://www.hh.umu.se/ues/ues955.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Michaël Sicsic, 2022. "Does labour income react more to income tax or means‐tested benefits reforms?," Fiscal Studies, John Wiley & Sons, vol. 43(3), pages 291-319, September.
    2. Thomas Aronsson & Katharina Jenderny & Gauthier Lanot, 2024. "A maximum likelihood bunching estimator of the elasticity of taxable income," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 200-216, January.
    3. Dingquan Miao & Håkan Selin & Martin Söderström, 2025. "Earnings Responses to Even Higher Taxes," The Economic Journal, Royal Economic Society, vol. 135(667), pages 838-860.
    4. Yang, Xiaoliang & Barros, Lucy & Matthews, Kent & Meenagh, David, 2024. "The dynamics of redistribution, inequality and growth across China’s regions," Journal of Policy Modeling, Elsevier, vol. 46(3), pages 613-637.
    5. Spencer Bastani, 2025. "The marginal value of public funds: a brief guide and application to tax policy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 32(4), pages 919-956, August.
    6. Lanot, Gauthier & Vesterberg, Mattias, 2021. "The price elasticity of electricity demand when marginal incentives are very large," Energy Economics, Elsevier, vol. 104(C).
    7. Aronsson, Thomas & Jenderny, Katharina & Lanot, Gauthier, 2021. "Maximum Likelihood Bunching Estimators of the ETI," Umeå Economic Studies 987, Umeå University, Department of Economics.
    8. Bastani, Spencer, 2023. "The marginal cost of public funds: A brief guide," Working Paper Series 2023:14, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Sigaard, Hans Schytte, 2023. "Estimating labor supply responses to Danish tax reforms," Journal of Public Economics, Elsevier, vol. 224(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

    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:hhs:umnees:0955. 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: David Skog (email available below). General contact details of provider: https://edirc.repec.org/data/inumuse.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.