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The multiplier principle, credit-money and time

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  • Gechert, Sebastian

Abstract

We analyze the simple fiscal multiplier and extend it in terms of a credit-money framework and in terms of a time dimension, making it applicable to time series data. In order to take care of a credit-money framework, we complement the sources and uses of funds that are available along the multiplier process. In order to tackle the issue of time, we introduce a time component, which captures the time duration of a multiplier round. We argue that both attempts are incomplete on their own, but together they form a new version of the multiplier depending on the time duration of a multiplier period and a leakage that comprises net debt settlement and net accumulation of receivables. While the comparative-static stability condition of the multiplier can be dropped in this framework, our integrated multiplier reveals a dynamic stability condition for the multiplier process. Moreover, the integrated multiplier can be applied to evaluate income effects of transitory stimulus packages for a given time span. Multiplier effects are not calculated via identification of public spending shocks and GDP effects, but via determination of the behavioral parameters.

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  • Gechert, Sebastian, 2012. "The multiplier principle, credit-money and time," MPRA Paper 34648, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:34648
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    More about this item

    Keywords

    fiscal multiplier; credit-money; dynamic stability; stockflow relation;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

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