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Shadow Economy: What Factors Matter in the French Case?

Author

Listed:
  • Sanvi Avouyi-Dovi
  • Lorraine Chouteau
  • Lucas Devigne
  • Emmanuelle Politronacci

Abstract

We build a model based on a structural dynamic approach to assess the Non-Observed Economy (NOE) over the period 1990-2019 in France. Our strategy is focused on a systematic scan of the potential causes of shadow economy. We show that the discrepancy between electricity consumption and real GDP growth rates is the main driver of the NOE. However, factors, such as drug offences and net shipments of banknotes also have significant effects on hidden activities even though their effects do not seem to be as strong. The NOE remains non-negligible in France, but its ratio, relative to the GDP, has decreased considerably in the 2000s. Finally, we observe strong links between the NOE index and the cash demand indicators. Thus, concordance tests show a noticeable synchronization between the NOE indexes (global and legal components) and the net issuance of banknotes, especially the total net issuance and the net issuance of the €50 and €200 denominations. Furthermore, the NOE indexes and GDP as well as self-employment are synchronized. We also observe positive correlations between the cyclical components of the total net issuance of banknotes and the estimated shadow economy indexes. Finally, there are some bi-directional causal relationships between the NOE indexes and the aggregate banknote demand. However, there is only a unidirectional causality between these indexes and the demand for Small denominations (€5, €10, €20).

Suggested Citation

  • Sanvi Avouyi-Dovi & Lorraine Chouteau & Lucas Devigne & Emmanuelle Politronacci, 2023. "Shadow Economy: What Factors Matter in the French Case?," Working papers 930, Banque de France.
  • Handle: RePEc:bfr:banfra:930
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    More about this item

    Keywords

    Shadow Economy; Non-Observed Economy; Structural Equations; MIMIC Model;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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