IDEAS home Printed from https://ideas.repec.org/a/fep/journl/v18y2005i1p16-18.html
   My bibliography  Save this article

Labour Supply and Income Taxation: Estimation and Simulation Exercise for Finland

Author

Listed:
  • Mika Kuismanen

    () (European Central Bank, Research Department, Germany)

Abstract

It is well known that the estimation of a labour supply function is complicated because of the non-linear budget constraint an individual faces. This non-linearity may arise from a variety of reasons - the structure of the tax/benefit scheme, overtime rates etc. Non-linearities also cause problems when it comes to interpreting the policy implications of the estimates. In this study we first estimate two well-structured econometric labour supply models which mimic the actual budget constraints as closely as possible. Utilising estimation results we construct a microsimulation model to analyse different income tax regimes and systems to the labour supply. Our simulation results show that none of the proposed reforms are self-financing. A revenue neutral proportional tax system does not have major effects on labour supply. The biggest behavioural responses are achieved if we reduce the marginal tax rates from the lower end of the state income tax schedule.

Suggested Citation

  • Mika Kuismanen, 2005. "Labour Supply and Income Taxation: Estimation and Simulation Exercise for Finland," Finnish Economic Papers, Finnish Economic Association, vol. 18(1), pages 16-18, Spring.
  • Handle: RePEc:fep:journl:v:18:y:2005:i:1:p:16-18
    as

    Download full text from publisher

    File URL: http://www.taloustieteellinenyhdistys.fi/images/stories/fep/fep12005_kuismanen.pdf
    Download Restriction: no

    More about this item

    JEL classification:

    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:fep:journl:v:18:y:2005:i:1:p:16-18. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Editorial Secretary). General contact details of provider: http://edirc.repec.org/data/talouea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.