Skip to main content
Log in

Stochastic structure of alternative measures of velocity

  • Published:
Journal of Economics and Finance Aims and scope Submit manuscript

Abstract

In this paper, the author reexamines previous work on the stochastic structure of velocity by analyzing velocity over varying degrees of time aggregation and implements the augmented Dickey-Fuller tests to differentiate between trend versus difference stationary processes. It is found for both monthly and quarterly data that the four velocity measures analyzed follow a difference stationary process. The appropriate ARIMA representation to the respective velocity measures were estimated for three periods: (1) 1959 to 1990, (2) 1959 to 1979, and (3) 1979 to 1990. All the monthly velocity measures were found to follow different ARIMA representations across the three periods analyzed. However, for the quarterly velocity measures analyzed, only velocity measures based upon M1 and M2 differ across the three periods. Thus, there is some evidence that the stochastic structure of velocity has changed over time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barro, Robert. “Recent Developments in the Theory of Rules vs. Discretion.”Economic Journal (Supplement 1985): 23–37.

  • Brocato, Joe, andKenneth L. Smith. “Velocity and the Variability of Money Growth: Evidence from Granger-Causality Tests.”Journal of Money, Credit, and Banking 21, no. 2 (May 1989): 258–261.

    Article  Google Scholar 

  • Christiano, Lawrence J. “Money and the U.S. Economy in the 1980’s: A Break from the Past.” Federal Reserve Bank of MinneapolisQuarterly Review 10 (Summer 1986): 2–13.

    Google Scholar 

  • Dickey, David A., andWayne A. Fuller. “Distribution of the Estimators for Autoregressive Time-Series With a Unit Root.”Journal of the American Statistical Association 74 (1979): 427–431.

    Article  Google Scholar 

  • Dickey, David A., andWayne A. Fuller. “Likelihood Ratio Statistics for Autoregressive Time Series With a Unit Root.”Econometrica 49, no. 4 (1981): 1057–1072.

    Article  Google Scholar 

  • Friedman, Milton “Lessons from the 1979–1982 Monetary Policy Experiment.”Journal of Money, Credit, and Banking 15, no. 3 (August 1984): 339–343.

    Article  Google Scholar 

  • Fuller, Wayne A. Introduction to Statistical Time Series. New York: John Wiley and Sons, 1976.

    Google Scholar 

  • Gould, John P., andCharles R. Nelson. “The Stochastic Structure of the Velocity of Money.”American Economic Review 64, no. 3 (June 1974): 405–418.

    Google Scholar 

  • Hallman, Jeffrey J., Richard D. Porter, andDavid H. Small. “Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?”American Economic Review 81, no. 4 (September 1991): 841–858.

    Google Scholar 

  • Haraf, William S. “Monetary Velocity and Monetary Rules.”Cato Journal 6, no. 2 (Fall 1986): 641–666.

    Google Scholar 

  • Hein, Scott E., andPaul T. W. M. Veugelers. “Predicting Velocity Growth: A Time Series Perspective.” Federal Reserve Bank of St. LouisReview 65, no. 8 (October 1983): 34–43.

    Google Scholar 

  • Mills, Terrence C. The Series Techniques for Economists. Cambridge: Cambridge University Press, 1990.

    Google Scholar 

  • Nelson, Charles R., andCharles I. Plosser. “Trends and Random Walks in Macroeconomic Time Series: Some Evidence and Implications.”Journal of Monetary Economics 10 (1982): 139–162.

    Article  Google Scholar 

  • Nelson, Charles R., andHeejoon Kang. “Pitfalls in the Use of Time as an Explanatory Variable in Regression.”Journal of Business and Economic Statistics 2 (January 1984): 73–82.

    Article  Google Scholar 

  • Rasche, Robert H. “M1-Velocity and Money Demand Function: Do Stable Relationships Exist?”Carnegie-Rochester Conference on Public Policy (September 1987).

  • Schwert, G. W. “Effects of Model Specification on Tests for Unit Roots in Macroeconomic Data.”Journal of Monetary Economics 20 (1987): 73–103.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Payne, J.E. Stochastic structure of alternative measures of velocity. J Econ Finan 16, 101–111 (1992). https://doi.org/10.1007/BF02920312

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02920312

Keywords

Navigation