IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v41y2009i17p2115-2123.html
   My bibliography  Save this article

Effects of credit and debit cards on the currency demand

Author

Listed:
  • Hakan Yilmazkuday
  • M. Ege Yazgan

Abstract

We analyze the effects of credit and debit cards on the currency in circulation by using GMM estimation. Instead of using the data obtained by surveys, we use monthly data obtained by an interbank institution that keeps the statistics of all credit and debit cards usage of a small open economy, Turkey, for the period over 2002M1-2006M10. As expected from the theory, we find that an increase in the usage of credit and debit cards leads to a decrease in the currency demand. Moreover, the usage of the debit cards has a bigger effect on the money demand, compared to the usage of the credit cards. We also find that the effect of credit cards is mostly through purchases and the effect of debit cards is mostly through withdrawals

Suggested Citation

  • Hakan Yilmazkuday & M. Ege Yazgan, 2009. "Effects of credit and debit cards on the currency demand," Applied Economics, Taylor & Francis Journals, vol. 41(17), pages 2115-2123.
    • Handle: RePEc:taf:applec:v:41:y:2009:i:17:p:2115-2123
    DOI: 10.1080/00036840701222496
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840701222496
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Helmut Stix, 2004. "How Do Debit Cards Affect Cash Demand? Survey Data Evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(2), pages 93-115, June.
    3. Markus Knell & Helmut Stix, 2006. "Three decades of money demand studies: differences and similarities," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 805-818.
    4. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
    5. 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.
    6. Dufour, Jean-Marie & Jasiak, Joann, 2001. "Finite Sample Limited Information Inference Methods for Structural Equations and Models with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(3), pages 815-843, August.
    7. M. Ege Yazgan & Hakan Yilmazkuday, 2007. "Monetary policy rules in practice: evidence from Turkey and Israel," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 1-8.
    8. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    9. Duca, John V & Whitesell, William C, 1995. "Credit Cards and Money Demand: A Cross-sectional Study," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(2), pages 604-623, May.
    10. Hakan Yilmazkuday, 2007. "Inflation targeting supported by managed exchange rate," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2011-2026.
    11. Laura Rinaldi, "undated". "Payment Cards and Money Demand in Belgium," International Economics Working Papers Series ces0116, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, International Economics.
    12. Frank Kleibergen, 2002. "Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression," Econometrica, Econometric Society, vol. 70(5), pages 1781-1803, September.
    13. White, Kenneth J, 1976. "The Effect of Bank Credit Cards on the Household Transactions Demand for Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 8(1), pages 51-61, February.
    14. Akhand, Hafiz & Milbourne, Ross, 1986. "Credit cards and aggregate money demand," Journal of Macroeconomics, Elsevier, vol. 8(4), pages 471-478.
    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. Arvind Agrawal & James W. Gentry, 2020. "Why do many consumers prefer to pay now when they could pay later?," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(2), pages 607-627, June.
    2. Jun Nagayasu, 2012. "Financial innovation and regional money," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4617-4629, December.
    3. Yilmazkuday, Hakan, 2011. "Monetary policy and credit cards: Evidence from a small open economy," Economic Modelling, Elsevier, vol. 28(1-2), pages 201-210, January.
    4. Andrea Mercatanti & Fan Li, 2017. "Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 759-776, August.
    5. David, Bounie & Abel, François & Patrick, Waelbroeck, 2016. "Debit card and demand for cash," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 55-66.

    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. Hakan Yilmazkuday, 2007. "Inflation targeting supported by managed exchange rate," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2011-2026.
    2. Hakan, Yilmazkuday, 2009. "Is there a Role for International Trade Costs in Explaining the Central Bank Behavior?," MPRA Paper 15951, University Library of Munich, Germany.
    3. M. Ege Yazgan & Hakan Yilmazkuday, 2007. "Monetary policy rules in practice: evidence from Turkey and Israel," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 1-8.
    4. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    5. 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.
    6. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2006. "Inflation dynamics and the New Keynesian Phillips Curve: An identification robust econometric analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1707-1727.
    7. Khalaf, Lynda & Urga, Giovanni, 2014. "Identification robust inference in cointegrating regressions," Journal of Econometrics, Elsevier, vol. 182(2), pages 385-396.
    8. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    9. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "Estimation uncertainty in structural inflation models with real wage rigidities," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2554-2561, November.
    10. Khalaf, Lynda & Kichian, Maral, 2003. "Are New Keynesian Phillips Curved Identified?," Cahiers de recherche 0312, GREEN.
    11. Giray Gozgor, 2012. "Inflation Targeting and Monetary Policy Rules: Further Evidence from the Case of Turkey," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(5), pages 1-7.
    12. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    13. Firmin Doko Tchatoka & Jean‐Marie Dufour, 2014. "Identification‐robust inference for endogeneity parameters in linear structural models," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 165-187, February.
    14. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    15. Kichian, Maral & Rumler, Fabio, 2014. "Forecasting Canadian inflation: A semi-structural NKPC approach," Economic Modelling, Elsevier, vol. 43(C), pages 183-191.
    16. Tchatoka, Firmin Doko, 2015. "Subset Hypotheses Testing And Instrument Exclusion In The Linear Iv Regression," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1192-1228, December.
    17. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    18. Charlotta Groth & Hashmat Khan, 2007. "Investment adjustment costs: evidence from UK and US industries," Bank of England working papers 332, Bank of England.
    19. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2012. "Optimal inference for instrumental variables regression with non-Gaussian errors," Journal of Econometrics, Elsevier, vol. 167(1), pages 1-15.
    20. Firmin Doko Tchatoka & Wenjie Wang, 2015. "On Bootstrap Validity for Subset Anderson-Rubin Test in IV Regressions," School of Economics Working Papers 2015-01, University of Adelaide, School of Economics.

    More about this item

    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:taf:applec:v:41:y:2009:i:17:p:2115-2123. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.