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Estimating Cash Usage: The Impact of Survey Design on Research Outcomes

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Author Info

  • Nicole Jonker

    ()

  • Anneke Kosse

    ()

Abstract

We employ a unique dataset of transaction records to analyse the impact of survey set-up on consumers’ payments registration behaviour. Survey data are used for econometric analyses and validated against other payments data. The results reveal that the length of the registration period influences consumers’ registration of payments. Measurement errors are minimised when consumers use a self-reported transaction diary for one single day. Around 40 % of the transactions registered in a one-day survey are missed out in a one-week survey. Apart from payments research, the results are, among others, also relevant for household expenditure and marketing research. Copyright Springer Science+Business Media New York 2013

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File URL: http://hdl.handle.net/10.1007/s10645-012-9200-2
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Bibliographic Info

Article provided by Springer in its journal De Economist.

Volume (Year): 161 (2013)
Issue (Month): 1 (March)
Pages: 19-44

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Handle: RePEc:kap:decono:v:161:y:2013:i:1:p:19-44

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Web page: http://www.springerlink.com/link.asp?id=100260

Related research

Keywords: Cash usage; Measurement error; Payment behaviour; Survey design; C42; D12; E41;

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References

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  1. Ron Borzekowski & Elizabeth K. Kiser & Shaista Ahmed, 2006. "Consumers' use of debit cards: patterns, preferences, and price response," Finance and Economics Discussion Series 2006-16, Board of Governors of the Federal Reserve System (U.S.).
  2. Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What Do We Learn from Recall Consumption Data?," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
  3. Lynn, Peter & Jäckle, Annette & Jenkins, Stephen P. & Sala, Emanuela, 2004. "The impact of interviewing method on measurement error in panel survey measures of benefit receipt: evidence from a validation study," ISER Working Paper Series 2004-28, Institute for Social and Economic Research.
  4. van Praag, B M S & Vermeulen, E M, 1993. "A Count-Amount Model with Endogenous Recording of Observations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 383-95, Oct.-Dec..
  5. Melenberg, B. & Alessie, R.J.M. & Gradus, R.H.J.M., 1990. "The problem of not observing small expenditures in a consumer expenditure survey," Open Access publications from Tilburg University urn:nbn:nl:ui:12-383456, Tilburg University.
  6. John Gibson, 2002. "Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Working Papers in Economics 02/02, University of Waikato, Department of Economics.
  7. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Recall Surveys and the Relationship between Household Size and Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 473-489.
  8. David Humphrey & Lawrence Pulley & Jukka Vesala, 2000. "The Check's in the Mail: Why the United States Lags in the Adoption of Cost-Saving Electronic Payments," Journal of Financial Services Research, Springer, vol. 17(1), pages 17-39, February.
  9. Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
  10. von Kalckreuth, Ulf & Schmidt, Tobias & Stix, Helmut, 2009. "Choosing and using payment instruments: evidence from German microdata," Discussion Paper Series 1: Economic Studies 2009,36, Deutsche Bundesbank, Research Centre.
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Cited by:
  1. Anneke Kosse, 2012. "Do newspaper articles on card fraud affect debit card usage?," DNB Working Papers 339, Netherlands Central Bank, Research Department.
  2. Anneke Kosse & Robert Vermeulen, 2013. "Migrants' Choice of Remittance Channel: Do General Payment Habits Play a Role?," DNB Working Papers 375, Netherlands Central Bank, Research Department.

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