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Alternative parametric bunching estimators of the ETI

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Abstract

We propose a maximum likelihood (ML) based method to improve the bunching approach of measuring the elasticity of taxable income (ETI), and derive the estimator for several model settings that are prevalent in the literature, such as perfect bunching, bunching with optimization frictions, notches, and heterogeneity in the ETI. We show that the ML estimator is more precise and likely less biased than ad-hoc bunching estimators that are typically used in the literature. In the case of optimization frictions in the form of random shocks to earnings, the ML estimation requires a prior of the average size of such shocks. The results obtained in the presence of a notch can differ substantially from those obtained using ad-hoc approaches. If there is heterogeneity in the ETI, the elasticity of the individuals who bunch exceeds the average elasticity in the population.

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  • Aronsson, Thomas & Jenderny, Katharina & Lanot, Gauthier, 2018. "Alternative parametric bunching estimators of the ETI," Umeå Economic Studies 956, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0956
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    Cited by:

    1. Vincent Dekker & Karsten Schweikert, 2021. "A Comparison of Different Data-driven Procedures to Determine the Bunching Window," Public Finance Review, , vol. 49(2), pages 262-293, March.
    2. Homonoff, Tatiana & Willage, Barton & Willén, Alexander, 2020. "Rebates as incentives: The effects of a gym membership reimbursement program," Journal of Health Economics, Elsevier, vol. 70(C).

    More about this item

    Keywords

    Bunching Estimators; Elasticity of Taxable Income; Income Tax;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • 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

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