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A statistical approach to modeling the underground economy in South Africa

Author

Listed:
  • Koloane Cathrine Thato

    (College of Agriculture, Engineering & Science, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa)

  • Bodhlyera Oliver

    (College of Agriculture, Engineering & Science, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa)

Abstract

Aim/purpose – The underground economy is a major challenge across the world affecting both developed and developing economies. South Africa is no exception to this phenomenon and has lost billions of rands due to the underground economy. The aim of this study is to estimate the size of the underground economy in South Africa.

Suggested Citation

  • Koloane Cathrine Thato & Bodhlyera Oliver, 2022. "A statistical approach to modeling the underground economy in South Africa," Journal of Economics and Management, Sciendo, vol. 44(1), pages 64-95, January.
    • Handle: RePEc:vrs:jecman:v:44:y:2022:i:1:p:64-95:n:6
    DOI: 10.22367/jem.2022.44.04
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    More about this item

    Keywords

    underground economy; South Africa; currency demand approach;
    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
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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