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The potential of tax microdata for tax policy

Author

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  • Seán Kennedy
Abstract
This paper explores one distinctive form of the ‘big data’ of economics – individual tax record microdata – and its potential for tax policy analysis. The paper draws on OECD collaborations with Slovenia and Ireland in 2018 where tax microdata was used.Most empirical economics is based on survey data. However, the current trend of low and falling response rates has placed a question mark over the future value of survey practice generally. By contrast, this paper discusses the increasing use of tax microdata in economic research and the new types of policy analysis made possible by it. In the future, best-practice tax policy analysis is likely to combine tax microdata with survey and national account data. The advantages of these combined data will be important for policymakers to understand and address future policy challenges including protecting tax revenues in an era of population ageing and supporting fairness given the changing nature of economic mobility.

Suggested Citation

  • Seán Kennedy, 2019. "The potential of tax microdata for tax policy," OECD Taxation Working Papers 45, OECD Publishing.
    • Handle: RePEc:oec:ctpaaa:45-en
    DOI: 10.1787/d2283b8e-en
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    Cited by:

    1. Callan, Tim & Doorley, Karina & McTague, Alyvia, 2020. "Top Incomes in Ireland: Reconciling Evidence from Tax Records and Household Survey Data," IZA Discussion Papers 13585, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    big data; economic mobility; income distributions; income inequality; tax administration data; tax policy analysis;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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