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6 - Time series and structural analysis of monetary models of the US economy (1975)

Published online by Cambridge University Press:  24 October 2009

Arnold Zellner
Affiliation:
Professor Emeritus of Economics and Statistics, Graduate School of Business, University of Chicago, Chicago, IL
Franz C. Palm
Affiliation:
Professor of Econometrics, Faculty of Economics and Business Administration University, Maastricht
Arnold Zellner
Affiliation:
University of Chicago
Franz C. Palm
Affiliation:
Universiteit Maastricht, Netherlands
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Summary

Introduction

In previous work, Zellner and Palm (1974), an approach for building and analyzing dynamic econometric models was presented that is a blend of recently developed time series techniques and traditional econometric methods. This approach was applied in analyzing dynamic variants of a small Keynesian macroeconometric model formulated by Haavelmo (1947). In the present chapter, we apply our approach in the analysis of variants of a dynamic monetary model formulated by Friedman (1970, 1971).

We commence our present analysis by presenting the structural equations of an initial variant of Friedman's model, denoted S0, that is viewed as a starting point for our analyses. That is, as in previous work we set forth a number of testable implications of S0, in particular the implications of S0 for the forms of the final and transfer equations for the variables of S0. Using monthly data for the US economy, 1953–72, and time series analysis, the implications of S0 are checked against the information in the data. As will be seen, some of S0's implications do not square with the information in the data. This leads us to consider other variants of the model whose implications can be checked with the data. In this way we attempt to iterate in on a variant of the model that is in accord with the information in the data. When a variant has been obtained that is in accord with the data information, it can be checked further with new sample information.

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Publisher: Cambridge University Press
Print publication year: 2004

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References

Box, G. E. P. and G. M. Jenkins (1970), Time Series Analysis, Forecasting and Control (San Francisco: Holden-Day)
Cagan, P. (1956), “The monetary dynamics of hyperinflation,” in M. Friedman (ed.), Studies in the Quantity Theory of Money (Chicago, University of Chicago Press), 25–120
Friedman, M. (1956), “The quantity theory of money – a restatement,” in M. Friedman (ed.), Studies in the Quantity Theory of Money (Chicago, University of Chicago Press), 3–24
Friedman, M. (1970), “A theoretical framework for monetary analysis,” Journal of Political Economy 78, 193–238CrossRefGoogle Scholar
Friedman, M. (1971), “A monetary theory of nominal income,” Journal of Political Economy 79, 323–37CrossRefGoogle Scholar
Haavelmo, T. (1947), “Methods of measuring the marginal propensity to consume,” Journal of the American Statistical Society 42, 105–22; reprinted in W. Hood and T. C. Koopmans (eds.), Studies in Econometric Methods (New York, John Wiley, 1953)CrossRefGoogle Scholar
Laidler, D. (1966), “The rate of interest and the demand for money, some empirical evidence,” Journal of Political Economy 74, 545–55Google Scholar
Lindley, D. V. (1961), “The use of prior probability distributions in statistical inference and decision,” in J. Neyman (ed.), Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, I (Berkeley, CA, University of California Press), 453–68
Muth, J. F. (1961), “Rational expectations and the theory of price movements,” Econometrica 29, 315–35CrossRefGoogle Scholar
Nelson, C. R. (1973), Applied Time Series Analysis for Managerial Forecasting (San Francisco, Holden-Day)
Palm, F. C. (1973), “On the Bayesian approach to comparing and testing hypotheses when ‘Knowing Little,’” University of Chicago, manuscript
Sargent, T. J. (1973), “‘Rational’ Expectations, the Real Rate of Interest and the ‘Natural’ Rate of Unemployment,” University of Minnesota, mimeo (Berkeley, CA, University of California Press)
Sargent, T. J. and Wallace, N. (1973), “Rational expectations and the dynamics of hyperinflation,” International Economic Review 14, 328–50CrossRefGoogle Scholar
Zellner, A. (1971), An Introduction to Bayesian Inference in Econometrics (New York, John Wiley)
Zellner, A. and Palm, F. C. (1974), “Time series analysis and simultaneous equation models,” Journal of Econometrics, 2, 17–54; chapter 1 in this volumeCrossRefGoogle Scholar

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