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 et al. 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.

While credit cards provide transaction services, they have never been included in measures of money supply. We derive the theory to measure the joint services of credit cards and money and propose two measures of their joint services: one based on microeconomic structural aggregation theory, providing an aggregated variable within the macroeconomy; the other a credit‐card‐extended aggregate, optimized as an indicator to capture the contributions of monetary and credit card as nowcasting indicator of nominal GDP. The inclusion of the new aggregates yields substantially more accurate nowcasts of nominal GDP, illustrating the usefulness of the information contained in credit cards.

Abstract:In 2013, the Center for Financial Stability (CFS) initiated its Divisia monetary aggregates database, maintained within the CFS program called Advances in Monetary and Financial Measurement (AMFM), in accordance with Barnett (1980Barnett ( , 2012. The CFS is now making available Divisia monetary aggregates extended to include the transactions services of credit cards. The extended aggregates are called the augmented Divisia monetary aggregates and are available to the public in monthly releases. The new aggregates are also available to Bloomberg terminal users. The theory on which the new aggregates is based is provided in Barnett and Su (2014). 3 In this paper, we provide detailed information on the data sources used in producing the new augmented Divisia monetary aggregates.

A monetary production model of financial firms is employed to investigate supply-side inside-money aggregation, augmented to include credit card transaction services. Inside money is a supply-side concept. 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. We derive theory needed to measure the supply of the joint services of credit cards and inside money, needed to estimate the output supply function and to compute value added. The data needed for empirical implementation of our theory are available online from the Center for Financial Stability in New York City.

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