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The effect of rounding on payment efficiency

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  • Bijwaard, Govert E.
  • Franses, Philip Hans

Abstract

Theory predicts that dismissing the 1 and 2 euro cent coins from the denominational range of the euro facilitates payment efficiency. To examine whether this theory holds true in practice, data were collected for the Netherlands before and after September 2004, which marks the day that retail stores were allowed to round all amounts at 5 euro cents. The data consist of wallet contents for three cross sections of individuals. As the amounts of various coins in wallets are correlated, a multivariate Poisson-log Normal model is proposed to analyze these data. It is found that rounding leads to less 1 and 2 cent coins in wallets, but that still other coins are over or underrepresented, thereby suggesting that the euro range does not yet lead to fully efficient payment behavior.

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  • Bijwaard, Govert E. & Franses, Philip Hans, 2009. "The effect of rounding on payment efficiency," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1449-1461, February.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:4:p:1449-1461
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    1. Murat K. Munkin & Pravin K. Trivedi, 1999. "Simulated maximum likelihood estimation of multivariate mixed-Poisson regression models, with application," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 29-48.
    2. Lee, Lung-Fei, 1995. "Asymptotic Bias in Simulated Maximum Likelihood Estimation of Discrete Choice Models," Econometric Theory, Cambridge University Press, vol. 11(3), pages 437-483, June.
    3. Bolduc, Denis & Khalaf, Lynda & Moyneur, Érick, 2008. "Identification-robust simulation-based inference in joint discrete/continuous models for energy markets," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3148-3161, February.
    4. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    5. Jeanine Kippers & Erjen van Nierop & Richard Paap & Philip Hans Franses, 2003. "An Empirical Study of Cash Payments," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(4), pages 484-508, November.
    6. Cramer, J. S., 1983. "Currency by denomination," Economics Letters, Elsevier, vol. 12(3-4), pages 299-303.
    7. Boeschoten, W C & Fase, M M G, 1989. "The Way We Pay with Money," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 319-326, July.
    8. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
    9. Wedel, Michel & Böckenholt, Ulf & Kamakura, Wagner A., 2003. "Factor models for multivariate count data," Journal of Multivariate Analysis, Elsevier, vol. 87(2), pages 356-369, November.
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