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How do you pay? The role of incentives at the point-of-sale

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Listed:
  • Arango, Carlos
  • Huynh, Kim P.
  • Sabetti, Leonard

Abstract

This paper uses discrete-choice models to quantify the role of consumer socio-economic characteristics, payment instrument attributes, and transaction features on the probability of using cash, debit card, or credit card at the point-of-sale. We use the Bank of Canada 2009 Method of Payment Survey, a two-part survey among adult Canadians containing a detailed questionnaire and a three-day shopping diary. We find that cash is still used intensively at low value transactions due to speed, merchant acceptance, and low costs. Debit and credit cards are used more frequently for higher transaction values where safety, record keeping, the ability to delay payment and credit card rewards gain prominence. We present estimates of the elasticity of using a credit card with respect to credit card rewards. Reward elasticities are a key element in understanding the impact of retail payment pricing regulation on consumer payment instrument usage and welfare. JEL Classification: E41, C35, C83

Suggested Citation

  • 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.
  • Handle: RePEc:ecb:ecbwps:20111386
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    References listed on IDEAS

    as
    1. Klee, Elizabeth, 2008. "How people pay: Evidence from grocery store data," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 526-541, April.
    2. Carlos Arango & Dylan Hogg & Alyssa Lee, 2012. "Why Is Cash (Still) So Entrenched? Insights from the Bank of Canada’s 2009 Methods-of-Payment Survey," Discussion Papers 12-2, Bank of Canada.
    3. Zinman, Jonathan, 2009. "Debit or credit?," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 358-366, February.
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    5. Jean-Charles Rochet & Jean Tirole, 2002. "Cooperation Among Competitors: Some Economics Of Payment Card Associations," RAND Journal of Economics, The RAND Corporation, vol. 33(4), pages 549-570, Winter.
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    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    8. Wright, Julian, 2003. "Optimal card payment systems," European Economic Review, Elsevier, vol. 47(4), pages 587-612, August.
    9. Carlos Arango & Varya Taylor, 2009. "The Role of Convenience and Risk in Consumers' Means of Payment," Discussion Papers 09-8, Bank of Canada.
    10. Schuh, Scott & Stavins, Joanna, 2010. "Why are (some) consumers (finally) writing fewer checks? The role of payment characteristics," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1745-1758, August.
    11. Carlos Arango & Angelika Welte, 2012. "The Bank of Canada’s 2009 Methods-of-Payment Survey: Methodology and Key Results," Discussion Papers 12-6, Bank of Canada.
    12. Ulf Von Kalckreuth & Tobias Schmidt & Helmut Stix, 2014. "Using Cash to Monitor Liquidity: Implications for Payments, Currency Demand, and Withdrawal Behavior," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1753-1786, December.
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    18. Scholnick, Barry & Massoud, Nadia & Saunders, Anthony & Carbo-Valverde, Santiago & Rodríguez-Fernández, Francisco, 2008. "The economics of credit cards, debit cards and ATMs: A survey and some new evidence," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1468-1483, August.
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    More about this item

    Keywords

    credit card rewards; discrete-choice models; retail payments;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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