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Crypto-assets, corruption, and capital controls: Cross-country correlations

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Listed:
  • Alnasaa, Marwa
  • Gueorguiev, Nikolay
  • Honda, Jiro
  • Imamoglu, Eslem
  • Mauro, Paolo
  • Primus, Keyra
  • Rozhkov, Dmitriy

Abstract

Empirical investigation of the factors underlying the growing usage of crypto-assets is in its infancy, owing to data limitations. In this paper, we present a simple cross-country analysis drawing on recently released survey-based data. We explore the correlation of crypto-asset usage with indicators of corruption, capital controls, a history of high inflation, and other factors. We find that crypto-asset usage is significantly and positively associated with corruption and capital controls. Notwithstanding the data limitations, the results support the case for regulating crypto-assets, including know-your-customer approaches, as opposed to taking a laissez-faire stance.

Suggested Citation

  • Alnasaa, Marwa & Gueorguiev, Nikolay & Honda, Jiro & Imamoglu, Eslem & Mauro, Paolo & Primus, Keyra & Rozhkov, Dmitriy, 2022. "Crypto-assets, corruption, and capital controls: Cross-country correlations," Economics Letters, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:ecolet:v:215:y:2022:i:c:s0165176522001239
    DOI: 10.1016/j.econlet.2022.110492
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    References listed on IDEAS

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    1. Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross‐country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
    2. Auer, Raphael & Tercero-Lucas, David, 2022. "Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments," Journal of Financial Stability, Elsevier, vol. 62(C).
    3. Graf von Luckner, Clemens & Reinhart, Carmen M. & Rogoff, Kenneth, 2023. "Decrypting new age international capital flows," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 104-122.
    4. Gabriel Chodorow-Reich & Gita Gopinath & Prachi Mishra & Abhinav Narayanan, 2020. "Cash and the Economy: Evidence from India’s Demonetization," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 57-103.
    5. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
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    Cited by:

    1. Lennart Ante & Florian Fiedler & Fred Steinmetz & Ingo Fiedler, 2023. "Profiling Turkish Cryptocurrency Owners: Payment Users, Crypto Investors and Crypto Traders," JRFM, MDPI, vol. 16(4), pages 1-13, April.
    2. Sakariyahu, Rilwan & Lawal, Rodiat & Adigun, Rasheed & Paterson, Audrey & Johan, Sofia, 2024. "One crash, too many: Global uncertainty, sentiment factors and cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    3. Griffin Msefula & Tony Chieh-Tse Hou & Tina Lemesi, 2024. "Financial and market risks of bitcoin adoption as legal tender: evidence from El Salvador," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    4. Bao, Hong & Li, Jianjun & Peng, Yuchao & Qu, Qiang, 2022. "Can Bitcoin help money cross the border: International evidence," Finance Research Letters, Elsevier, vol. 49(C).

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    More about this item

    Keywords

    Crypto-assets; Cryptocurrency; Corruption; Capital controls;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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