METHODOLOGICAL ASPECTS OF ASSESSING THE HIDDEN ECONOMY IN THE DIGITAL ECONOMY

Authors

  • Lochin Rakhmonov PhD, rector of the Asian University of Technologies

DOI:

https://doi.org/10.5281/zenodo.17119032

Keywords:

hidden economy, digital economy, econometric modeling, MIMIC model, big data, blockchain, economic security.

Abstract

This paper examines methodological approaches to assessing the hidden economy within the context of digital transformation. Key methods such as monetary models, labor force surveys, transaction approaches, and econometric modeling are analyzed alongside digital data-driven tools, including big data analytics, machine learning, and blockchain-based monitoring. The study argues that integrating traditional and digital methodologies provides more accurate assessments of the hidden economy and enhances policy effectiveness in ensuring economic transparency.

References

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Catalini, C., & Gans, J. (2016). “Some Simple Economics of the Blockchain.” NBER Working Paper No. 22952.

OECD. (2021). Measuring the Digital Economy: Towards Better Statistics for Decision Making. Paris: OECD Publishing.

Schneider, F., & Enste, D. (2000). Shadow Economies: Size, Causes, and Consequences. Journal of Economic Literature, 38(1), 77–114.

Schneider, F., & Medina, L. (2018). Shadow Economies Around the World: What Did We Learn Over the Last 20 Years? IMF Working Paper WP/18/17.

Williams, C. C. (2019). Informal Sector Entrepreneurship in the Digital Age. Routledge.

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Published

2025-09-15

How to Cite

Rakhmonov, L. (2025). METHODOLOGICAL ASPECTS OF ASSESSING THE HIDDEN ECONOMY IN THE DIGITAL ECONOMY. Current Approaches and New Research in Modern Sciences, 4(15), 80-84. https://doi.org/10.5281/zenodo.17119032