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The Canadian Experience with Weighted Monetary Aggregates

Author

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  • David Longworth
  • Joseph Atta-Mensah

Abstract

This paper compares the empirical performance of Canadian weighted monetary aggregates (in particular, Fisher ideal aggregates) with the current summation aggregates, for their information content and forecasting performance in terms of prices, real output and nominal spending for the period 1971Q1 to 1989Q3. The properties of money-demand equations for these aggregates, particularly their temporal stability, are also examined. The major aggregates considered are M1, M2, M3, M2+, and their Fisher ideal counterparts. Also considered are M3+ (which adds near-bank deposits to M3) and two liquidity aggregates, as well as their Fisher ideal counterparts. Over all, on the basis of the in-sample fit of indicator models, the out-of-sample forecasts by indicator models, the specification of money-demand functions, and the temporal stability of money-demand functions, Canadian simple-sum monetary aggregates appear to be empirically superior to Fisher ideal aggregates. Specifically, broad monetary aggregates are generally the best in predicting inflation, M1 works well in predicting nominal spending, and real M1 is the best predictor of real output. These conclusions generally agree with earlier studies, which have shown that weighted monetary aggregates rarely do better than simple-sum aggregates in predicting major Canadian macroeconomic variables.

Suggested Citation

  • David Longworth & Joseph Atta-Mensah, 1995. "The Canadian Experience with Weighted Monetary Aggregates," Econometrics 9511001, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpem:9511001
    Note: 65 printed pages, compressed PostScript file. Other recent Bank of Canada working papers are listed on the last page of this report.
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    Cited by:

    1. David Longworth, 2003. "Money in the Bank (of Canada)," Technical Reports 93, Bank of Canada.
    2. Pierre L. Siklos & Andrew G. Barton, 2001. "Monetary aggregates as indicators of economic activity in Canada: empirical evidence," Canadian Journal of Economics, Canadian Economics Association, vol. 34(1), pages 1-17, February.
    3. Yu, Qiao & Tsui, Albert K., 2000. "Monetary services and money demand in China," China Economic Review, Elsevier, vol. 11(2), pages 134-148, December.
    4. Richard G. Anderson & Barry E. Jones & Travis D. Nesmith, 1997. "Special report: The monetary services index project of the Federal Reserve Bank of St. Louis: introduction to the St. Louis monetary services index project," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 25-30.
    5. Tracy Chan & Ramdane Djoudad & Jackson Loi, 2006. "Regime Shifts in the Indicator Properties of Narrow Money in Canada," Staff Working Papers 06-6, Bank of Canada.
    6. Paul Gilbert & Lise Pichette, 2003. "Dynamic Factor Analysis for Measuring Money," Staff Working Papers 03-21, Bank of Canada.

    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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