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Monetary aggregates and monetary policy: an empirical assessment for Peru

Author

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  • Lahura, Erick

    (Banco Central de Reserva del Perú)

Abstract

In recent years the theoretical and empirical literature has shown a tendency to discard the use of money in monetary policy. This paper provides an empirical evaluation of the relevance of monetary aggregates in the conduct of monetary policy in Peru, a small open and partially dollarized economy. Based on recursive analysis of vector error correction models and allowing for structural breaks, we find that M3 is the only monetary aggregate that helps forecast inflation in Peru and therefore can be useful in monetary policy. There is no clear evidence about the usefulness of any other narrower monetary aggregate either as a potential monetary policy instrument or as an information variable.

Suggested Citation

  • Lahura, Erick, 2010. "Monetary aggregates and monetary policy: an empirical assessment for Peru," Working Papers 2010-019, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2010-019
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    References listed on IDEAS

    as
    1. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Understanding the Link between Money Growth and Inflation in the Euro Area," Palgrave Macmillan Books, in: David Cobham (ed.), The Travails of the Eurozone, chapter 2, pages 10-41, Palgrave Macmillan.
    2. Kareken, John H & Muench, Thomas & Wallace, Neil, 1973. "Optimal Open Market Strategy: The Use of Information Variables," American Economic Review, American Economic Association, vol. 63(1), pages 156-172, March.
    3. Bernd Hayo, 1999. "Money-output Granger causality revisited: an empirical analysis of EU countries," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1489-1501.
    4. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    5. Henrik Hansen & Søren Johansen, 1999. "Some tests for parameter constancy in cointegrated VAR-models," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 306-333.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Garratt, Anthony & Lee, Kevin & Pesaran, M. Hashem & Shin, Yongcheol, 2012. "Global and National Macroeconometric Modelling: A Long-Run Structural Approach," OUP Catalogue, Oxford University Press, number 9780199650460.
    8. Benati, Luca, 2009. "Long run evidence on money growth and inflation," Working Paper Series 1027, European Central Bank.
    9. Beck, Günter W. & Wieland, Volker, 2006. "Money in monetary policy design under uncertainty: The two-pillar Phillips curve versus ECB-style cross-checking," CFS Working Paper Series 2007/17, Center for Financial Studies (CFS).
    10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    11. Milton Friedman & Anna J. Schwartz, 1982. "Money and Interest Rates," NBER Chapters, in: Monetary Trends in the United States and United Kingdom: Their Relation to Income, Prices, and Interest Rates, 1867–1975, pages 477-587, National Bureau of Economic Research, Inc.
    12. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    14. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    15. Lippi, Francesco & Neri, Stefano, 2007. "Information variables for monetary policy in an estimated structural model of the euro area," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1256-1270, May.
    16. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    17. Engle, Robert F. & White (the late), Halbert (ed.), 1999. "Cointegration, Causality, and Forecasting: Festschrift in Honour of Clive W. J. Granger," OUP Catalogue, Oxford University Press, number 9780198296836.
    18. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    19. Geweke, John, 1984. "Inference and causality in economic time series models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 19, pages 1101-1144, Elsevier.
    20. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    21. Clive, W.J. & Lin, Jin-Lung, 1995. "Causality in the Long Run," Econometric Theory, Cambridge University Press, vol. 11(3), pages 530-536, June.
    22. Estrella, Arturo & Mishkin, Frederic S., 1997. "Is there a role for monetary aggregates in the conduct of monetary policy?," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 279-304, October.
    23. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    24. Krol, Robert & Ohanian, Lee E., 1990. "The impact of stochastic and deterministic trends on money-output causality : A multi-country investigation," Journal of Econometrics, Elsevier, vol. 45(3), pages 291-308.
    25. Michael Dotsey & Carl D. Lantz & Lawrence Santucci, 2000. "Is money useful in the conduct of monetary policy?," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 23-48.
    26. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-492, June.
    27. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    28. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    29. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    30. King, Robert G & Plosser, Charles I, 1984. "Money, Credit, and Prices in a Real Business Cycle," American Economic Review, American Economic Association, vol. 74(3), pages 363-380, June.
    31. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, April.
    32. Dotsey, Michael & Hornstein, Andreas, 2003. "Should a monetary policymaker look at money?," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 547-579, April.
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    1. Md. Nezum Uddin & Mohammed Jashim Uddin & Monir Ahmmed, 2019. "Money and Inflation Nexus in Bangladesh," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(6), pages 702-711, June.

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    More about this item

    Keywords

    cointegration; dollarization; Granger causality; monetary aggregates; monetary policy; structural change; weak and strong exogeneity;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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