USES OF FINANCIAL ACCOUNTS IN MONETARY ANALYSIS

Henry C. Wallich

Review of Income and Wealth, 1969, vol. 15, issue 4, 321-334

Abstract: Developments in economic theory have in many ways enhanced the opportunity for using financial accounts data in monetary analysis. This is true in such areas as the role of assets, the development of portfolio choice theory, the demand for money, and the behavior of intermediaries. At the same time, theory has increasingly emphasized behavioral relationships. These developments give rise to new data needs. An inquiry was addressed to some 25 specialists, whose responses illustrate these needs. Some of the desired data are “more of the same,” such as more sectoring, more detail on financial instruments, data on stocks as well as flows. Some data needs, reflecting behavioral theorizing, point beyond traditional financial accounts data and call for maturity distributions, interest rates, rates of return on equities and real assets, and the parameters of their frequency distributions. The degree of economic development and the degree of openness are found to be important determinants of the kind of data to be sought and employed in particular countries. Public policy is finding increasing use for financial accounts data in coordinating the flow of financial resources with the planning of physical investment. Nevertheless, many policy purposes call for more detailed data than can be provided by an integrated system. This has led to a selective use of data sources outside the financial accounts. Builders of financial models, likewise, have found it preferable to work with more flexible data selected ad hoc than with integrated financial accounts. Hope of applying the techniques of modern model building to financial accounts data, such as econometric estimation of a flow of funds table, or its conversion into an input‐output matrix, seems tenuous for the time being. Thus, financial accountants, competing with financial model builders for the attention of theorists and policy makers, must broaden the scope of their data in the hope that there is room for the growth of both disciplines.

Date: 1969
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