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The elasticity of taxable income: A meta-regression analysis

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  • Carina Neisser

    (ZEW Mannheim)

Abstract
The elasticities of taxable (ETI) and broad income (EBI) are key parameters in optimal tax and welfare analysis. To examine the large variation in estimates found in the literature, I conduct a comprehensive meta-regression analysis of elasticities that measure behavioral responses to income taxation using information from 51 different studies containing 1,420 estimates. I find that heterogeneity in reported estimates is driven by regression techniques, sample restrictions and variations across countries and time. Moreover, I provide descriptive evidence of the correlation between contextual factors and the magnitude of an elasticity estimate. Overall, the study confirms the fact that the ETI itself is endogenous to the underlying tax system. I also document that selective reporting bias is prevalent in the literature. The direction of reporting bias depends on whether or not deductions are included in the tax base.

Suggested Citation

  • Carina Neisser, 2017. "The elasticity of taxable income: A meta-regression analysis," Working Papers 2017/10, Institut d'Economia de Barcelona (IEB).
    • Handle: RePEc:ieb:wpaper:doc2017-10
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    More about this item

    Keywords

    Elasticity of taxable income; income tax; behavioral response; meta-regression analysis;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance

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