IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03676061.html
   My bibliography  Save this paper

Bitcoin Adoption and Beliefs in Canada

Author

Listed:
  • Daniela Balutel

    (LEO - Laboratoire d'Économie d'Orleans - UO - Université d'Orléans - UT - Université de Tours)

  • Christopher Henry
  • Michel Vasquez
  • Marcel Voia

    (LEO - Laboratoire d'Économie d'Orleans - UO - Université d'Orléans - UT - Université de Tours)

Abstract

We develop a tractable model of Bitcoin adoption with network effects and social learning, which we then connect to unique data from the Bank of Canada’s Bitcoin Omnibus Survey for the years 2017 and 2018. The model determines how the probability of Bitcoin adoption depends on (1) network effects; (2) individual learning effects; and (3) social learning effects. After accounting for the endogeneity of beliefs, we find that both network effects and individual learning effects have a positive and significant direct impact on Bitcoin adoption, whereas the role of social learning is to ameliorate the marginal effect of the network size on the likelihood of adoption. In particular, in 2017 and 2018, a one percentage point increase in the network size increased the probability of adoption by 0.45 and 0.32 percentage points, respectively. Similarly, a one percentage point increase in Bitcoin beliefs increased the probability of adoption by 0.43 and 0.72 percentage points. Our results suggest that network effects, individual learning, and social learning were important drivers of Bitcoin adoption in 2017 and 2018 in Canada.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Daniela Balutel & Christopher Henry & Michel Vasquez & Marcel Voia, 2022. "Bitcoin Adoption and Beliefs in Canada," Post-Print hal-03676061, HAL.
    • Handle: RePEc:hal:journl:hal-03676061
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dirk Bergemann & Juuso Valimaki, 1997. "Market Diffusion with Two-Sided Learning," RAND Journal of Economics, The RAND Corporation, vol. 28(4), pages 773-795, Winter.
    2. , & ,, 2010. "Strategic experimentation with Poisson bandits," Theoretical Economics, Econometric Society, vol. 5(2), May.
    3. Dong, Yingying, 2010. "Endogenous regressor binary choice models without instruments, with an application to migration," Economics Letters, Elsevier, vol. 107(1), pages 33-35, April.
    4. Godfrey Keller & Sven Rady & Martin Cripps, 2005. "Strategic Experimentation with Exponential Bandits," Econometrica, Econometric Society, vol. 73(1), pages 39-68, January.
    5. Eric Budish, 2018. "The Economic Limits of Bitcoin and the Blockchain," NBER Working Papers 24717, National Bureau of Economic Research, Inc.
    6. Neil Gandal & Hanna Halaburda, 2016. "Can We Predict the Winner in a Market with Network Effects? Competition in Cryptocurrency Market," Games, MDPI, vol. 7(3), pages 1-21, July.
    7. Helmut Stix, 2021. "Ownership and purchase intention of crypto-assets: survey results," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 65-99, February.
    8. Henry, Christopher S. & Huynh, Kim P. & Nicholls, Gradon, 2018. "Bitcoin awareness and usage in Canada," Journal of Digital Banking, Henry Stewart Publications, vol. 2(4), pages 311-337, May.
    9. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    10. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    11. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    12. Arthur Lewbel, 2019. "The Identification Zoo: Meanings of Identification in Econometrics," Journal of Economic Literature, American Economic Association, vol. 57(4), pages 835-903, December.
    13. Mira Frick & Yuhta Ishii, 2015. "Innovation Adoption by Forward-Looking Social Learners," Cowles Foundation Discussion Papers 1877, Cowles Foundation for Research in Economics, Yale University.
    14. Wilko Bolt & Maarten R.C. Van Oordt, 2020. "On the Value of Virtual Currencies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 835-862, June.
    15. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    16. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    17. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    18. Christopher Henry & Kim Huynh & Gradon Nicholls, 2017. "Bitcoin Awareness and Usage in Canada," Staff Working Papers 17-56, Bank of Canada.
    19. Christopher Henry & Kim Huynh & Gradon Nicholls, 2018. "Bitcoin Awareness and Usage in Canada: An Update," Staff Analytical Notes 2018-23, Bank of Canada.
    20. Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
    21. Athey, Susan & Parashkevov, Ivo & Sarukkai, Vishnu & Xia, Jing, 2016. "Bitcoin Pricing, Adoption, and Usage: Theory and Evidence," Research Papers 3469, Stanford University, Graduate School of Business.
    22. Christopher Henry & Kim Huynh & Gradon Nicholls & Mitchell Nicholson, 2019. "2018 Bitcoin Omnibus Survey: Awareness and Usage," Discussion Papers 2019-10, Bank of Canada.
    23. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    24. Daniela Balutel & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners," Staff Working Papers 22-26, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heng Chen & Walter Engert & Kim Huynh & Daneal O’Habib & Joy Wu & Julia Zhu, 2022. "Cash and COVID-19: What happened in 2021," Discussion Papers 2022-8, Bank of Canada.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    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. Fujiki, Hiroshi, 2020. "Who adopts crypto assets in Japan? Evidence from the 2019 financial literacy survey," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    4. 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.
    5. Rodney J. Garratt & Maarten R. C. van Oordt, 2023. "Why Fixed Costs Matter for Proof-of-Work–Based Cryptocurrencies," Management Science, INFORMS, vol. 69(11), pages 6482-6507, November.
    6. Daniela Balutel & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners," Staff Working Papers 22-26, Bank of Canada.
    7. Anil Savio Kavuri & Alistair Milne, 2019. "FinTech and the future of financial services: What are the research gaps?," CAMA Working Papers 2019-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. White, Reilly & Marinakis, Yorgos & Islam, Nazrul & Walsh, Steven, 2020. "Is Bitcoin a currency, a technology-based product, or something else?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    9. Nils Brouwer & Jakob de Haan, 2024. "What Drives Households’ Knowledge about Cryptocurrencies?," Working Papers 799, DNB.
    10. Raphael Auer, 2019. "Beyond the doomsday economics of "proof-of-work" in cryptocurrencies," BIS Working Papers 765, Bank for International Settlements.
    11. Zimmerman, Peter, 2020. "Blockchain structure and cryptocurrency prices," Bank of England working papers 855, Bank of England.
    12. Daniela Balutel & Walter Engert & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021," Staff Working Papers 22-44, Bank of Canada.
    13. Keller, Godfrey & Rady, Sven, 2020. "Undiscounted bandit games," Games and Economic Behavior, Elsevier, vol. 124(C), pages 43-61.
    14. Andrew Detzel & Hong Liu & Jack Strauss & Guofu Zhou & Yingzi Zhu, 2021. "Learning and predictability via technical analysis: Evidence from bitcoin and stocks with hard‐to‐value fundamentals," Financial Management, Financial Management Association International, vol. 50(1), pages 107-137, March.
    15. Gandal, Neil & Hamrick, JT & Moore, Tyler & Oberman, Tali, 2018. "Price manipulation in the Bitcoin ecosystem," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 86-96.
    16. Borgonovo, Emanuele & Caselli, Stefano & Cillo, Alessandra & Masciandaro, Donato & Rabitti, Giovanni, 2021. "Money, privacy, anonymity: What do experiments tell us?," Journal of Financial Stability, Elsevier, vol. 56(C).
    17. Charles M. Kahn & Maarten R.C. van Oordt, 2022. "The Demand for Programmable Payments," Tinbergen Institute Discussion Papers 22-076/IV, Tinbergen Institute.
    18. Levkov Nikola & Bogoevska-Gavrilova Irena & Trajkovska Milica, 2022. "Profile and Financial Behaviour of Crypto Adopters – Evidence from Macedonian Population Survey," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 172-185, December.
    19. Mira Frick & Yuhta Ishii, 2015. "Innovation Adoption by Forward-Looking Social Learners," Cowles Foundation Discussion Papers 1877, Cowles Foundation for Research in Economics, Yale University.
    20. Wagner, Peter A. & Klein, Nicolas, 2022. "Strategic investment and learning with private information," Journal of Economic Theory, Elsevier, vol. 204(C).

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03676061. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.