IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/14-27.html
   My bibliography  Save this paper

Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples

Author

Listed:
  • Heng Chen
  • Marie-Hélène Felt
  • Kim Huynh

Abstract

We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data modelthat accounts for unobserved heterogeneity and allows for general forms of non-random attrition. We use annual data from the CFM on the methods of payment and cash usage for the period 2010–12. Estimates based on cross-sectional methods find a large impact of retail payment on cash usage (around 10 percent). However, after correcting for attrition, we find that contactless credit cards and multiple stored-value cards (reloadable) have no significant impact on cash usage, while single-purpose stored-value cards reduce the usage of cash by 2 percent in terms of volume. These results point to the uneven pace of the diffusion of payment innovations, especially contactless credit.

Suggested Citation

  • Heng Chen & Marie-Hélène Felt & Kim Huynh, 2014. "Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples," Staff Working Papers 14-27, Bank of Canada.
  • Handle: RePEc:bca:bocawp:14-27
    as

    Download full text from publisher

    File URL: http://www.bankofcanada.ca/wp-content/uploads/2014/06/wp2014-27.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-473, March.
    2. John Bagnall & David Bounie & Kim P. Huynh & Anneke Kosse & Tobias Schmidt & Scott Schuh, 2016. "Consumer Cash Usage: A Cross-Country Comparison with Payment Diary Survey Data," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 1-61, December.
    3. Naoki Wakamori & Angelika Welte, 2017. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 115-169, February.
    4. Gautam Gowrisankaran & Joanna Stavins, 2004. "Network Externalities and Technology Adoption: Lessons from Electronic Payments," RAND Journal of Economics, The RAND Corporation, vol. 35(2), pages 260-276, Summer.
    5. Victor Stango, 2000. "Competition And Pricing In The Credit Card Market," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 499-508, August.
    6. Arango, Carlos & Huynh, Kim P. & Sabetti, Leonard, 2011. "How do you pay? The role of incentives at the point-of-sale," Working Paper Series 1386, European Central Bank.
    7. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    8. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    9. Ben Fung & Kim Huynh & Leonard Sabetti, 2012. "The Impact of Retail Payment Innovations on Cash Usage," Staff Working Papers 12-14, Bank of Canada.
    10. Carlos Arango & Kim Huynh & Ben Fung & Gerald Stuber, 2012. "The Changing Landscape for Retail Payments in Canada and the Implications for the Demand for Cash," Bank of Canada Review, Bank of Canada, vol. 2012(Autumn), pages 31-40.
    11. Ridder, Geert, 1992. "An empirical evaluation of some models for non-random attrition in panel data," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 337-355, December.
    12. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
    13. Terence C. Cheng & Pravin K. Trivedi, 2015. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the Mabel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1101-1117, September.
    14. repec:adr:anecst:y:1999:i:55-56:p:05 is not listed on IDEAS
    15. Gene Amromin & Sujit Chakravorti, 2009. "Whither Loose Change? The Diminishing Demand for Small-Denomination Currency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 315-335, March.
    16. Insan Tunali & Emre Ekinci & Berk Yavuzoglu, 2012. "Rescaled Additively Non-ignorable (RAN) Model of Attrition and Substitution," Koç University-TUSIAD Economic Research Forum Working Papers 1220, Koc University-TUSIAD Economic Research Forum.
    17. Stephanie M. Wilshusen & Robert M. Hunt & James van Opstal & Rachel Schneider, 2012. "Consumers’ use of prepaid cards: a transaction-based analysis," Payment Cards Center Discussion Paper 12-02, Federal Reserve Bank of Philadelphia.
    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. Huynh, Kim P. & Schmidt-Dengler, Philipp & Stix, Helmut, 2014. "Whenever and Wherever: The Role of Card Acceptance in the Transaction Demand for Money," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 472, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    2. Huynh, Kim P. & Schmidt-Dengler, Philipp & Stix, Helmut, 2014. "The Role of Card Acceptance in the Transaction Demand for Money," CEPR Discussion Papers 10183, C.E.P.R. Discussion Papers.
    3. Emre Ekinci & Insan Tunah & Berk Yavuzoglu, 2017. "Rescaled Additivity Non-Ignorable (RAN) Model of Generalized Attrition," Working Papers 1702, Nazarbayev University, Department of Economics, revised Mar 2017.
    4. repec:bla:jorssa:v:180:y:2017:i:2:p:503-530 is not listed on IDEAS
    5. Marie-Hélène Felt, 2018. "A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions," Staff Working Papers 18-29, Bank of Canada.
    6. Heng Chen & Geoffrey R. Dunbar & Rallye Shen, 2017. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Staff Working Papers 17-43, Bank of Canada.
    7. Christopher S. Henry & Kim P. Huynh & Gradon Nicholls, 2017. "Bitcoin Awareness and Usage in Canada," Staff Working Papers 17-56, Bank of Canada.
    8. Walter Engert & Ben Fung, 2017. "Central Bank Digital Currency: Motivations and Implications," Discussion Papers 17-16, Bank of Canada.
    9. Heng Chen & Kim Huynh & Oz Shy, 2017. "Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins," Staff Working Papers 17-47, Bank of Canada.
    10. Takahiro Hoshino & Keisuke Takahata, 2018. "Identification of heterogeneous treatment effects as a function of potential untreated outcome under the nonignorable assignment condition," Keio-IES Discussion Paper Series 2018-005, Institute for Economics Studies, Keio University.
    11. repec:vls:rojfme:v:4:y:2017:i:1:p:261-265 is not listed on IDEAS

    More about this item

    Keywords

    Bank notes; E-Money; Econometric and statistical methods; Financial services;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bca:bocawp:14-27. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://www.bank-banque-canada.ca/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.