IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/73245.html
   My bibliography  Save this paper

The credit-card-services augmented Divisia monetary aggregates

Author

Listed:
  • Barnett, William
  • Chauvet, Marcelle
  • Leiva-Leon, Danilo
  • Su, Liting

Abstract

While credit cards provide transactions services, credit cards have never been included in measures of the money supply. The reason is accounting conventions, which do not permit adding liabilities to assets. However, index number theory measures service flows and is based on aggregation theory, not accounting. We derive theory needed to measure the joint services of credit cards and money. We provide and evaluate two such aggregate measures having different objectives. We initially apply to NGDP nowcasting. Both aggregates are being implemented by the Center for Financial Stability, which will provide them to the public monthly, along with Bloomberg Terminals.

Suggested Citation

  • Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "The credit-card-services augmented Divisia monetary aggregates," MPRA Paper 73245, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:73245
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/73245/1/MPRA_paper_73245.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/73384/3/MPRA_paper_73384.pdf
    File Function: revised version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    2. William A. Barnett & Shu Wu, 2011. "On User Costs of Risky Monetary Assets," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 3, pages 85-105 World Scientific Publishing Co. Pte. Ltd..
    3. Barnett, William A. & Chauvet, Marcelle, 2011. "How better monetary statistics could have signaled the financial crisis," Journal of Econometrics, Elsevier, vol. 161(1), pages 6-23, March.
    4. William Barnett & Apostolos Serletis & W. Erwin Diewert, 2005. "The Theory of Monetary Aggregation (book front matter)," Macroeconomics 0511008, EconWPA.
    5. Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "Nowcasting nominal gdp with the credit-card augmented Divisia monetary aggregates," MPRA Paper 73246, University Library of Munich, Germany.
    6. William Barnett & Jia Liu & Ryan Mattson & Jeff Noort, 2013. "The New CFS Divisia Monetary Aggregates: Design, Construction, and Data Sources," Open Economies Review, Springer, vol. 24(1), pages 101-124, February.
    7. Barnett, William A., 2012. "Getting it Wrong: How Faulty Monetary Statistics Undermine the Fed, the Financial System, and the Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262516888, January.
    8. Cherchye, Laurens & Demuynck, Thomas & De Rock, Bram & Hjertstrand, Per, 2015. "Revealed preference tests for weak separability: An integer programming approach," Journal of Econometrics, Elsevier, vol. 186(1), pages 129-141.
    9. Irina A. Telyukova & Randall Wright, 2008. "A Model of Money and Credit, with Application to the Credit Card Debt Puzzle," Review of Economic Studies, Oxford University Press, vol. 75(2), pages 629-647.
    10. Feenstra, Robert C., 1986. "Functional equivalence between liquidity costs and the utility of money," Journal of Monetary Economics, Elsevier, vol. 17(2), pages 271-291, March.
    11. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    12. Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
    13. Belongia, Michael T. & Ireland, Peter N., 2006. "The Own-Price of Money and the Channels of Monetary Transmission," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 429-445, March.
    14. Apostolos Serletis & Periklis Gogas, 2014. "Divisia Monetary Aggregates, the Great Ratios, and Classical Money Demand Functions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(1), pages 229-241, February.
    15. Belongia, Michael T. & Ireland, Peter N., 2014. "The Barnett critique after three decades: A New Keynesian analysis," Journal of Econometrics, Elsevier, vol. 183(1), pages 5-21.
    16. Frederic S. Mishkin, 1996. "The Channels of Monetary Transmission: Lessons for Monetary Policy," NBER Working Papers 5464, National Bureau of Economic Research, Inc.
    17. Barnett, William A, 1982. "The Optimal Level of Monetary Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 14(4), pages 687-710, November.
    18. Hjertstrand, Per & L. Swofford, James & Whitney, Gerald A., 2013. "Revealed Preference Tests of Utility Maximization and Weak Separability of Consumption, Leisure and Money with Incomplete Adjustment," Working Paper Series 971, Research Institute of Industrial Economics.
    19. 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.
    20. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    21. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    22. Barnett, William A. & Serletis, Apostolos, 1990. "A dispersion-dependency diagnostic test for aggregation error : With applications to monetary economics and income distribution," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 5-34.
    23. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    24. Serletis, Apostolos & Rahman, Sajjadur, 2013. "The Case For Divisia Money Targeting," Macroeconomic Dynamics, Cambridge University Press, vol. 17(08), pages 1638-1658, December.
    25. Barnett, William A., 1978. "The user cost of money," Economics Letters, Elsevier, vol. 1(2), pages 145-149.
    26. Fischer, Stanley, 1974. "Money and the Production Function," Economic Inquiry, Western Economic Association International, vol. 12(4), pages 517-533, December.
    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. Barnett, William & Su, Liting, 2017. "Financial Firm Production of Inside Monetary and Credit Card Services: An Aggregation Theoretic Approach," MPRA Paper 82061, University Library of Munich, Germany.
    2. William Barnett & Jinan Liu, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201705, University of Kansas, Department of Economics, revised Sep 2017.
    3. William A. Barnett & Liting Su, 2016. "Joint aggregation over money and credit card services under risk," Economics Bulletin, AccessEcon, vol. 36(4), pages 2301-2310.
    4. William Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.

    More about this item

    Keywords

    Credit Cards; Money; Credit; Aggregation Theory; Index Number Theory; Divisia Index; Risk; Asset Pricing; Nowcasting; Indicators.;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:73245. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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.