(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v180y2017i2p503-530.html
   My bibliography  Save this article

Retail payment innovations and cash usage: accounting for attrition by using refreshment samples

Author

Listed:
  • Heng Chen
  • Marie-Hélène Felt
  • Kim P. 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Heng Chen & Marie-Hélène Felt & Kim P. Huynh, 2017. "Retail payment innovations and cash usage: accounting for attrition by using refreshment samples," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 503-530, February.
  • Handle: RePEc:bla:jorssa:v:180:y:2017:i:2:p:503-530
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssa.12208
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    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. Alvarez, Fernando & Lippi, Francesco, 2013. "The demand of liquid assets with uncertain lumpy expenditures," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 753-770.
    5. Ben Fung & Kim Huynh & Gerald Stuber, 2015. "The Use of Cash in Canada," Bank of Canada Review, Bank of Canada, vol. 2015(Spring), pages 45-56.
    6. 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.
    7. 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.
    8. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    9. Orazio P. Attanasio & Luigi Guiso & Tullio Jappelli, 2002. "The Demand for Money, Financial Innovation, and the Welfare Cost of Inflation: An Analysis with Household Data," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 317-351, April.
    10. 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.
    11. Marc Rysman, 2007. "An Empirical Analysis Of Payment Card Usage," Journal of Industrial Economics, Wiley Blackwell, vol. 55(1), pages 1-36, March.
    12. 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.
    13. Robert Moffitt & John Fitzgerald & Peter Gottschalk, 1999. "Sample Attrition in Panel Data: The Role of Selection on Observables," Annals of Economics and Statistics, GENES, issue 55-56, pages 129-152.
    14. 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.
    15. 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.
    16. Seik Kim, "undated". "Sample Attrition in the Presence of Population Attrition," Working Papers UWEC-2009-02, University of Washington, Department of Economics.
    17. Nevo, Aviv, 2003. "Using Weights to Adjust for Sample Selection When Auxiliary Information Is Available," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 43-52, January.
    18. 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.
    19. Fernando Alvarez & Francesco Lippi, 2009. "Financial Innovation and the Transactions Demand for Cash," Econometrica, Econometric Society, vol. 77(2), pages 363-402, March.
    20. 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.
    21. Schmiedel, Heiko & Kostova, Gergana & Ruttenberg, Wiebe, 2012. "The social and private costs of retail payment instruments: a European perspective," Occasional Paper Series 137, European Central Bank.
    22. Ben Fung & Kim Huynh & Leonard Sabetti, 2012. "The Impact of Retail Payment Innovations on Cash Usage," Staff Working Papers 12-14, Bank of Canada.
    23. Heng Chen & Marie-Hélène Felt & Kim P. Huynh, 2017. "Retail payment innovations and cash usage: accounting for attrition by using refreshment samples," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 503-530, February.
    24. 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.
    25. 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.
    26. Christopher Henry & Kim Huynh & Rallye Shen, 2015. "2013 Methods-of-Payment Survey Results," Discussion Papers 15-4, Bank of Canada.
    27. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    28. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
    29. 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.
    30. Si, Yajuan & Reiter, Jerome P. & Hillygus, D. Sunshine, 2015. "Semi-parametric Selection Models for Potentially Non-ignorable Attrition in Panel Studies with Refreshment Samples," Political Analysis, Cambridge University Press, vol. 23(1), pages 92-112, January.
    31. Vella, Francis & Verbeek, Marno, 1999. "Two-step estimation of panel data models with censored endogenous variables and selection bias," Journal of Econometrics, Elsevier, vol. 90(2), pages 239-263, June.
    32. Nijman, Theo & Verbeek, Marno, 1992. "Nonresponse in Panel Data: The Impact on Estimates of a Life Cycle Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(3), pages 243-257, July-Sept.
    33. repec:adr:anecst:y:1999:i:55-56:p:05 is not listed on IDEAS
    34. Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Center for Research in Economics and Statistics.
    35. Ben Fung & Miguel Molico & Gerald Stuber, 2014. "Electronic Money and Payments: Recent Developments and Issues," Discussion Papers 14-2, Bank of Canada.
    36. Nicoletti, Cheti, 2006. "Nonresponse in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 461-489, June.
    37. Schmidt-Dengler, Philipp & Stix, Helmut & Huynh, Kim P., 2014. "The Role of Card Acceptance in the Transaction Demand for Money," CEPR Discussion Papers 10183, C.E.P.R. Discussion Papers.
    38. Gabriele Camera & Marco Casari & Stefania Bortolotti, 2016. "An Experiment on Retail Payments Systems," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 363-392, March.
    39. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    40. Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
    41. Alvarez, Fernando & Lippi, Francesco, 2017. "Cash burns: An inventory model with a cash-credit choice," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 99-112.
    42. Arango, Carlos & Huynh, Kim P. & Sabetti, Leonard, 2015. "Consumer payment choice: Merchant card acceptance versus pricing incentives," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 130-141.
    43. Nevo, Aviv, 2002. "Sample selection and information-theoretic alternatives to GMM," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 149-157, March.
    44. 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.
    45. Das, M., 2004. "Simple estimators for nonparametric panel data models with sample attrition," Journal of Econometrics, Elsevier, vol. 120(1), pages 159-180, May.
    46. Robert M. Hunt & Stephanie M. Wilshusen, 2012. "Consumers’ use of prepaid cards: a transaction-based analysis," Consumer Finance Institute discussion papers 12-02, Federal Reserve Bank of Philadelphia.
    47. Schmiedel, Heiko & Kostova, Gergana & Ruttenberg, Wiebe, 2012. "The social and private costs of retail payment instruments: a European perspective," Occasional Paper Series 137, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    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. Schmidt-Dengler, Philipp & Stix, Helmut & Huynh, Kim P., 2014. "The Role of Card Acceptance in the Transaction Demand for Money," CEPR Discussion Papers 10183, C.E.P.R. Discussion Papers.
    2. 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.
    3. 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.
    4. Arango-Arango, Carlos A. & Suárez-Ariza, Nicolás, 2020. "Digital payments adoption and the demand for cash: New international evidence," Journal of Payments Strategy & Systems, Henry Stewart Publications, vol. 14(4), pages 392-410, December.
    5. Fujiki, Hiroshi & Tanaka, Migiwa, 2018. "How do we choose to pay using evolving retail payment technologies? Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 49(C), pages 85-99.
    6. Tamás Briglevics & Scott Schuh, 2020. "This Is What's in Your Wallet...and Here's How You Use It," Working Papers 20-04, Department of Economics, West Virginia University.
    7. Kim Huynh & Gradon Nicholls & Oleksandr Shcherbakov, 2019. "Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods," Staff Working Papers 19-32, Bank of Canada.
    8. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
    9. Arango, Carlos & Huynh, Kim P. & Sabetti, Leonard, 2015. "Consumer payment choice: Merchant card acceptance versus pricing incentives," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 130-141.
    10. Christopher Henry & Kim Huynh & Rallye Shen, 2015. "2013 Methods-of-Payment Survey Results," Discussion Papers 15-4, Bank of Canada.
    11. Chen, Heng & Huynh, Kim P. & Shy, Oz, 2019. "Cash versus card: Payment discontinuities and the burden of holding coins," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 192-201.
    12. Hanna Armelius & Carl Andreas Claussen & André Reslow, 2022. "Withering Cash: Is Sweden Ahead of the Curve or Just Special?," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
    13. Arango-Arango, Carlos A. & Bouhdaoui, Yassine & Bounie, David & Eschelbach, Martina & Hernandez, Lola, 2018. "Cash remains top-of-wallet! International evidence from payment diaries," Economic Modelling, Elsevier, vol. 69(C), pages 38-48.
    14. Marcel Das & Vera Toepoel & Arthur van Soest, 2011. "Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys," Sociological Methods & Research, , vol. 40(1), pages 32-56, February.
    15. Martin Brown & Nicole Hentschel & Hannes Mettler & Helmut Stix, 2020. "Financial Innovation, Payment Choice and Cash Demand - Causal Evidence from the Staggered Introduction of Contactless Debit Cards," Working Papers on Finance 2002, University of St. Gallen, School of Finance.
    16. Martin Brown & Nicole Hentschel & Hannes Mettler & Helmut Stix, 2020. "Financial Innovation, Payment Choice and Cash Demand – Causal Evidence from the Staggered Introduction of Contactless Debit Cards (Martin Brown,Nicole Hentschel, Hannes Mettler, Helmut Stix)," Working Papers 230, Oesterreichische Nationalbank (Austrian Central Bank).
    17. Carlos Arango & Yassine Bouhdaoui & David Bounie & Martina Eschelbach & Lola Hernández, 2013. "Cash Management and Payment Choices: A Simulation Model with International Comparisons," Staff Working Papers 13-53, Bank of Canada.
    18. Fung, Ben & Huynh, Kim P. & Nield, Kerry & Welte, Angelika, 2018. "Merchant acceptance of cash and credit cards at the point of sale," Journal of Payments Strategy & Systems, Henry Stewart Publications, vol. 12(2), pages 150-165, July.
    19. Harding, Matthew & Lamarche, Carlos, 2019. "A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment," Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
    20. Shy, Oz, 2021. "Cashless stores and cash users," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 622-638.

    More about this item

    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

    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:bla:jorssa:v:180:y:2017:i:2:p:503-530. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.