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Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates

Author

Listed:
  • William Barnett

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

  • Liting Su

    (Department of Economics, The University of Kansas;)

Abstract

While credit cards provide transactions services, as do currency and demand deposits, credit cards have never been included in measures of the money supply. The reason is accounting conventions, which do not permit adding liabilities, such as credit card balances, to assets, such as money. However, economic aggregation theory and index number theory measure service flows and are based on microeconomic theory, not accounting. Barnett, Chauvet, Leiva-Leon, and Su (2016) derived the aggregation and index number theory needed to measure the joint services of credit cards and money. They derived and applied the theory under the assumption of risk neutrality. But since credit card interest rates are high and volatile, risk aversion may not be negligible. We extend the theory by removing the assumption of risk neutrality to permit risk aversion in the decision of the representative consumer.

Suggested Citation

  • William Barnett & Liting Su, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201606, University of Kansas, Department of Economics, revised Aug 2016.
  • Handle: RePEc:kan:wpaper:201606
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    File URL: http://www2.ku.edu/~kuwpaper/2016Papers/201606.pdf
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.

    More about this item

    Keywords

    Credit Cards; Money; Credit; Aggregation; Monetary Aggregation; Index Number Theory; Divisia Index; Risk; Euler Equations; Asset Pricing;

    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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