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Digital Divide: Empirical Study of CIUS 2020

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  • Joann Jasiak
  • Peter MacKenzie
  • Purevdorj Tuvaandorj

Abstract

Canada and other major countries are investigating the implementation of ``digital money'' or Central Bank Digital Currencies, necessitating answers to key questions about how demographic and geographic factors influence the population's digital literacy. This paper uses the Canadian Internet Use Survey (CIUS) 2020 and survey versions of Lasso inference methods to assess the digital divide in Canada and determine the relevant factors that influence it. We find that a significant divide in the use of digital technologies, e.g., online banking and virtual wallet, continues to exist across different demographic and geographic categories. We also create a digital divide score that measures the survey respondents' digital literacy and provide multiple correspondence analyses that further corroborate these findings.

Suggested Citation

  • Joann Jasiak & Peter MacKenzie & Purevdorj Tuvaandorj, 2023. "Digital Divide: Empirical Study of CIUS 2020," Papers 2301.07855, arXiv.org, revised Dec 2023.
  • Handle: RePEc:arx:papers:2301.07855
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    1. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    2. Markus K. Brunnermeier & Harold James & Jean-Pierre Landau, 2019. "The Digitalization of Money," Working Papers 2019-13, Princeton University. Economics Department..
    3. Michael D. Bordo & Andrew T. Levin, 2017. "Central Bank Digital Currency and the Future of Monetary Policy," NBER Working Papers 23711, National Bureau of Economic Research, Inc.
    4. Jesse Leigh Maniff, 2020. "Motives Matter: Examining Potential Tension in Central Bank Digital Currency Designs," Payments System Research Briefing, Federal Reserve Bank of Kansas City, pages 1-4, July.
    5. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    6. Lael Brainard, 2019. "Digital Currencies, Stablecoins, and the Evolving Payments Landscape : a speech at The Future of Money in the Digital Age, Sponsored by the Peterson Institute for International Economics and Princeton," Speech 1095, Board of Governors of the Federal Reserve System (U.S.).
    7. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(2), pages 451-470, April.
    8. Andrew Usher & Edona Reshidi & Francisco Rivadeneyra & Scott Hendry, 2021. "The Positive Case for a CBDC," Discussion Papers 2021-11, Bank of Canada.
    9. Richard J Smith, 1987. "Alternative Asymptotically Optimal Tests and Their Application to Dynamic Specification," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 54(4), pages 665-680.
    10. Kim Huynh & Gradon Nicholls & Mitchell Nicholson, 2020. "2019 Cash Alternative Survey Results," Discussion Papers 2020-8, Bank of Canada.
    11. Alexandre Belloni & Victor Chernozhukov & Ying Wei, 2016. "Post-Selection Inference for Generalized Linear Models With Many Controls," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 606-619, October.
    12. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    13. Joann Jasiak & Purevdorj Tuvaandorj, 2023. "Penalized Likelihood Inference with Survey Data," Papers 2304.07855, arXiv.org.
    14. Cun-Hui Zhang & Stephanie S. Zhang, 2014. "Confidence intervals for low dimensional parameters in high dimensional linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 217-242, January.
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