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Internet Banking and the Marginal Internet User

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  • John Hudson

    (University of Bath)

Abstract

Using Heckman’s sample selection methodology to analyse individual use of Internet banking we find a negatively significant Inverse Mills ratio. This is consistent with other studies. We go on to argue that this indicates that the probability of using Internet banking declines with the marginality of the Internet user. We further link this marginality to low cost Internet access and thence trust in this access. The inverse Mills ratio squared is also significant, thus both questioning the assumption of a bivariate normal distribution between the error terms from the selection and Internet banking equations, and also suggesting that there is a nonlinear relationship between Internet user marginality and the probability of using it for Internet banking.

Suggested Citation

  • John Hudson, 2012. "Internet Banking and the Marginal Internet User," Department of Economics Working Papers 7/12, University of Bath, Department of Economics.
  • Handle: RePEc:eid:wpaper:32980
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    References listed on IDEAS

    as
    1. Sinai, Todd & Waldfogel, Joel, 2004. "Geography and the Internet: is the Internet a substitute or a complement for cities?," Journal of Urban Economics, Elsevier, vol. 56(1), pages 1-24, July.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Hargittai, Eszter, 1999. "Weaving the Western Web: explaining differences in Internet connectivity among OECD countries," Telecommunications Policy, Elsevier, vol. 23(10-11), pages 701-718, November.
    5. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Kiiski, Sampsa & Pohjola, Matti, 2002. "Cross-country diffusion of the Internet," Information Economics and Policy, Elsevier, vol. 14(2), pages 297-310, June.
    8. Jianakoplos, Nancy Ammon & Bernasek, Alexandra, 1998. "Are Women More Risk Averse?," Economic Inquiry, Western Economic Association International, vol. 36(4), pages 620-630, October.
    9. Richard J. Sullivan & Zhu Wang, 2005. "Internet banking: an exploration in technology diffusion and impact," Payments System Research Working Paper PSR WP 05-05, Federal Reserve Bank of Kansas City.
    10. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    11. Eun-Ju Lee & David Eastwood & Jinkook Lee, 2004. "A Sample Selection Model of Consumer Adoption of Computer Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(3), pages 263-275, December.
    12. Joaquin Aldas-Manzano & Carla Ruiz-Mafe & Silvia Sanz-Blas & Carlos Lassala-Navarré, 2009. "Internet banking loyalty: evaluating the role of trust, satisfaction, perceived risk and frequency of use," The Service Industries Journal, Taylor & Francis Journals, vol. 31(7), pages 1165-1190, September.
    13. LaRose, Robert & Gregg, Jennifer L. & Strover, Sharon & Straubhaar, Joseph & Carpenter, Serena, 0. "Closing the rural broadband gap: Promoting adoption of the Internet in rural America," Telecommunications Policy, Elsevier, vol. 31(6-7), pages 359-373, July.
    14. Orviska, Marta & Hudson, John, 2009. "Dividing or uniting Europe? Internet usage in the EU," Information Economics and Policy, Elsevier, vol. 21(4), pages 279-290, November.
    15. Martinez Guerrero, Mario & Ortega Egea, Jose Manuel & Roman Gonzalez, Maria Victoria, 2007. "Application of the latent class regression methodology to the analysis of Internet use for banking transactions in the European Union," Journal of Business Research, Elsevier, vol. 60(2), pages 137-145, February.
    16. David B. Nickerson & Richard J. Sullivan, 2003. "Financial innovation, strategic real options and endogenous competition : theory and an application to Internet banking," Payments System Research Working Paper PSR WP 03-01, Federal Reserve Bank of Kansas City.
    17. DeYoung, Robert & Lang, William W. & Nolle, Daniel L., 2007. "How the Internet affects output and performance at community banks," Journal of Banking & Finance, Elsevier, vol. 31(4), pages 1033-1060, April.
    18. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    19. Pagan, Adrian & Vella, Frank, 1989. "Diagnostic Tests for Models Based on Individual Data: A Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 29-59, Supplemen.
    20. Kari Kelton & Kenneth R. Fleischmann & William A. Wallace, 2008. "Trust in digital information," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(3), pages 363-374, February.
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