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Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1

Author

Listed:
  • William A. Barnett

    (Department of Economics, University of Kansas; Center for Financial Stability, New York City; IC2 Institute, University of Texas at Austin)

  • Liting Su

    (Department of Economics, University of Kansas;)

Abstract

A monetary-production model of financial firms is employed to investigate supply-side monetary aggregation, augmented to include credit card transaction services. Financial firms are conceived to produce monetary and credit card transaction services as outputs through financial intermediation. While credit cards provide transactions services, credit cards have never been included into 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 microeconomic aggregation theory, not accounting. Barnett, Chauvet, Leiva-Leon, and Su (2016) have derived and applied the relevant aggregation theory applicable to measuring the demand for the joint services of money and credit cards. But because of the existence of required reserves and differences in taxation on the demand and supply side, there is a regulatory wedge between the demand and supply of monetary services. We derive theory needed to measure the supply of the joint services of credit cards and money, to estimate the output supply function, and to compute value added. The resulting model can be used to investigate the transmission mechanism of monetary policy. Earlier results on the monetary policy transmission mechanism based on the correlation between simple sum inside money and final targets are not likely to approximate or even be relevant to results that can be acquired by empirical implementation of this model or its extensions. Our financialfirm value-added measure and its supply function are fundamentally different from prior measures of inside money, shadow banking output, or money supply functions. The data needed for empirical implementation of our theory are available online from the Center for Financial Stability (CFS) in New York City. We show that the now discredited conventional accounting-based measures of privately produced inside money can be replaced by our measures, based on microeconomic aggregation theory, to provide the information originally contemplated in the literature on monetary theory for over a century.

Suggested Citation

  • William A. 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.
    • Handle: RePEc:kan:wpaper:201707
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    File URL: http://www2.ku.edu/~kuwpaper/2017Papers/201707.pdf
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    References listed on IDEAS

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    1. Barnett, William A. & Su, Liting, 2019. "Risk Adjustment Of The Credit-Card Augmented Divisia Monetary Aggregates," Macroeconomic Dynamics, Cambridge University Press, vol. 23(S1), pages 90-114, September.
    2. 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.
    3. William Barnett & Apostolos Serletis & W. Erwin Diewert, 2005. "The Theory of Monetary Aggregation (book front matter)," Macroeconomics 0511008, University Library of Munich, Germany.
    4. 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.
    5. Ricardo de O. Cavalcanti & Neil Wallace, 1999. "Inside and outside money as alternative media of exchange," Proceedings, Federal Reserve Bank of Cleveland, pages 443-468.
    6. William A. Barnett & Milka Kirova & Meenakshi Pasupathy, 2000. "Estimating Policy-Invariant Deep Parameters in the Financial Sector When Risk and Growth Matter," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 530-557, Emerald Group Publishing Limited.
    7. 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.
    8. William A. Barnett & Marcelle Chauvet & Danilo Leiva‐Leon & Liting Su, 2024. "The Credit‐Card‐Services Augmented Divisia Monetary Aggregates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1163-1202, August.
    9. Gregory S. Crawford & Nicola Pavanini & Fabiano Schivardi, 2018. "Asymmetric Information and Imperfect Competition in Lending Markets," American Economic Review, American Economic Association, vol. 108(7), pages 1659-1701, July.
    10. 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, April.
    11. 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.
    12. Johnson, Harry G, 1969. "Inside Money, Outside Money, Income, Wealth, and Welfare in Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 30-45, February.
    13. Michael T. Belongia & Peter N. Ireland, 2016. "Money and Output: Friedman and Schwartz Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1223-1266, September.
    14. William A. Barnett, 2000. "Economic Monetary Aggregates: An Application of Index Number and Aggregation Theory," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 11-48, Emerald Group Publishing Limited.
    15. Michael T. Belongia & Peter N. Ireland, 2015. "Interest Rates and Money in the Measurement of Monetary Policy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 255-269, April.
    16. William A. Barnett & Jeong Ho Hahm, 2004. "Financial Firm Production of Monetary Services: A Generalized Symmetric Barnett Variable Profit Function Approach," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 351-380, Emerald Group Publishing Limited.
    17. William A. Barnett & Melvin J. Hinich & Warren E. Weber, 2000. "The Regulatory Wedge Between the Demand-Side and Supply-Side Aggregation-Theoretic Monetary Aggregates," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 433-453, Emerald Group Publishing Limited.
    18. Sims, Christopher A, 1969. "Theoretical Basis for a Double Deflated Index of Real Value Added," The Review of Economics and Statistics, MIT Press, vol. 51(4), pages 470-471, November.
    19. Kelly, Logan J. & Barnett, William A. & Keating, John W., 2011. "Rethinking the liquidity puzzle: Application of a new measure of the economic money stock," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 768-774, April.
    20. 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.
    21. 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.
    22. Barnett, William A. & Su, Liting, 2017. "Data sources for the credit-card augmented Divisia monetary aggregates," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 899-910.
    23. David, Bounie & Abel, François & Patrick, Waelbroeck, 2016. "Debit card and demand for cash," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 55-66.
    24. William A. Barnett, 2000. "The User Cost of Money," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 6-10, Emerald Group Publishing Limited.
    25. Michael Magill & Martine Quinzii, 2002. "Theory of Incomplete Markets, Volume 1," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262632543, April.
    26. Ben S. Bernanke, 2015. "The Federal Reserve and the Financial Crisis," Economics Books, Princeton University Press, edition 1, number 9928-2.
    27. Roger W. Spencer, 1974. "Channels of monetary influence: a survey," Review, Federal Reserve Bank of St. Louis, vol. 56(Nov), pages 8-26.
    28. Ben S. Bernanke, 2013. "The Crisis as a Classic Financial Panic : a speech at the Fourteenth Jacques Polak Annual Research Conference, Washington, D.C., November 8, 2013," Speech 614, Board of Governors of the Federal Reserve System (U.S.).
    29. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    30. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
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    Cited by:

    1. William A. Barnett & Van H. Nguyen, 2021. "Constructing Divisia Monetary Aggregates for Singapore," JRFM, MDPI, vol. 14(8), pages 1-15, August.

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    More about this item

    Keywords

    Credit Cards; Money; Credit; Aggregation; Monetary Aggregation; Index Number Theory; Divisia Index; Risk; Euler Equations; Asset Pricing;
    All these keywords.

    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
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • 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

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