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Estimate of hidden activity for the 2020 benchmark revision of national accounts

Author

Listed:
  • C. Welter-Medee

    (Insee CREST)

  • S.Quantin

    (Insee)

Abstract

This study proposes an estimate of the unobserved activity of registered firms. The purpose of this estimate is to update the estimates currently used in national accounts for estimating gross domestic product, which covers all activities carried out on the territory, including those that are hidden. The study is based on tax audit management data from the DGFiP. By assimilating the sample of audited companies to survey respondents, the undeclared turnover and omissions or undue declarations of intermediate consumption observed during tax audits can be extrapolated to all non-financial companies and sole proprietorships in the field of national accounting. This extrapolation requires taking into account the process that led to the selection of firms subject to these audits, since it may generate a significant selection bias. For this purpose, we adopt the two-step methodology already implemented in Quantin et Welter-M d e (2022). The first step aims to estimate a weight for each controlled firm and is inspired by methods of nonresponse adjustment by reweighting. In a second step, based on these weights, we extrapolate the undeclared turnover and the omissions or undue declarations of intermediate consumption by ratio estimators applied to groups of firms with homogeneous declarative behavior. We estimate the total amount of undeclared turnover to be 33.1 billion euros and the underestimation of intermediate consumption expenditures to be 1.5 billion euros for 2014. This second amount corresponds to 8.0 billion euros of undeclared intermediate consumption expenses, less 6.5 billion euros of undue declarations of intermediate consumption. In total, this results in an unobserved amount of value added of 31.6 billion euros, slightly less than the undeclared turnover.

Suggested Citation

  • C. Welter-Medee & S.Quantin, 2023. "Estimate of hidden activity for the 2020 benchmark revision of national accounts," Documents de Travail de l'Insee - INSEE Working Papers 2023-18, Institut National de la Statistique et des Etudes Economiques.
  • Handle: RePEc:nse:doctra:2023-18
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    File URL: https://www.bnsp.insee.fr/ark:/12148/bc6p08f1wr6?rk=386268;0
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    More about this item

    Keywords

    Machine Learning; Selection Bias; Fiscal Audits; National Accounts;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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