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The Variability of Velocity in Cash-in-Advance Models

Robert J. Hodrick¹; Narayana Kocherlakota^2,3; Deborah Lucas^1,4

¹ National Bureau of Economic Research · ² University of Minnesota · ³ Twin Cities Orthopedics · ⁴ Kellogg's (Canada)

Monetary models based on cash-in-advance constraints make strong predictions about the stochastic properties of endogeneous variables such as the velocity of circulation of money, the rate of inflation, and real and nominal interest rates. We develop numerical methods to understand these predictions because the models cannot be characterized analytically. We calibrate some cash-in-advance models using driving processes estimated from U. S. time-series data to generate model predictions that are compared to sample statistics. Formulations of the models that generate variability in velocity corresponding to the U.S. data typically fail along other dimensions.

DOI

10.1086/261754

Volume

99 (2)

Pages

358-384

Language

en

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BibTeX

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