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Monetary Aggregates and Macroeconomic Performance: the Portuguese Escudo, 1911-1999

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  • João Tovar Jalles

Abstract

This paper takes a long time span approach to provide a full characterization of several monetary aggregates over Portuguese’s historical economic business cycles. By focusing on the 1911-1999 period (the life span of the currency Escudo), the paper also revisits the issue of the role of money on real macroeconomic outcomes. We get inspiration from the monetarists versus Keynesians debate about direction of causality in the output-money relation and the quest for validity of money (non-)neutrality. By means of descriptive statistics we first uncover that money changes were associated with changes in real economic activity. Most monetary aggregates are more volatile than GDP, display high serial autocorrelation, are generally countercyclical and lead the economic cycle (except checking accounts). Then, through formal time series techniques, our results show that our monetary series were characterized by unit roots and were cointegrated with real GDP (after accounting for endogenously estimated breaks). Evidence suggested that money supply Granger-caused real GDP supporting the money non-neutrality hypothesis in the case of Portugal.

Suggested Citation

  • João Tovar Jalles, 2019. "Monetary Aggregates and Macroeconomic Performance: the Portuguese Escudo, 1911-1999," Working Papers REM 2019/0102, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    • Handle: RePEc:ise:remwps:wp01022019
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    1. Kalulumia, Pene & Yourougou, Pierre, 1997. "Money and Income Causality in Developing Economies: A Case Study of Selected Countries in Sub-Saharan Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 6(2), pages 197-230, July.
    2. Portes, Richard & Santorum, Anita, 1987. "Money and the consumption goods market in China," Journal of Comparative Economics, Elsevier, vol. 11(3), pages 354-371, September.
    3. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    4. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    5. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    6. Fazal Husain & Kalbe Abbas, 2000. "Money, Income, Prices, and Causality in Pakistan. A Trivariate Analysis," PIDE-Working Papers 2000:178, Pakistan Institute of Development Economics.
    7. Shirley J. Gedeon, 1985. "The Post Keynesian Theory of Money: A Summary and an Eastern European Example," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 8(2), pages 208-221, December.
    8. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    9. Luciano Amaral, 2009. "New series for GDP per capita, per worker, and per worker-hour in Portugal, 1950-2007," Nova SBE Working Paper Series wp540, Universidade Nova de Lisboa, Nova School of Business and Economics.
    10. Carpenter, Seth & Demiralp, Selva, 2012. "Money, reserves, and the transmission of monetary policy: Does the money multiplier exist?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 59-75.
    11. Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
    12. 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.
    13. Tan Hui Boon & Baharumshah Ahmad Zubaidi, 1999. "Dynamic Causal Chain of Money, Output, Interest Rate and Prices in Malaysia: Evidence Based On Vector Error- Correction Modelling Analysis," International Economic Journal, Taylor & Francis Journals, vol. 13(1), pages 103-120.
    14. Darrat, Ali F. & Chopin, Marc C. & Lobo, Bento J., 2005. "Money and macroeconomic performance: revisiting divisia money," Review of Financial Economics, Elsevier, vol. 14(2), pages 93-101.
    15. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    16. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Testing for Shifts in Trend With an Integrated or Stationary Noise Component," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 369-396.
    17. Kalbe Abbas, 1991. "Causality Test between Money and Income: A Case Study of Selected Developing Asian Countries (1960-1988)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 30(4), pages 919-929.
    18. Belongia, Michael T, 1996. "Measurement Matters: Recent Results from Monetary Economics Reexamined," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1065-1083, October.
    19. McLeay, Michael & Radia, Amar & Thomas, Ryland, 2014. "Money creation in the modern economy," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 14-27.
    20. Bruggeman, Annick & Donati, Paola & Warne, Anders, 2003. "Is the demand for euro area M3 stable?," Working Paper Series 255, European Central Bank.
    21. Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
    22. Claudio Borio & Anna Zabai, 2018. "Unconventional monetary policies: a re-appraisal," Chapters, in: Peter Conti-Brown & Rosa M. Lastra (ed.), Research Handbook on Central Banking, chapter 20, pages 398-444, Edward Elgar Publishing.
    23. Santos Pereira, Álvaro & Lains, Pedro, 2010. "From an agrarian society to a knowledge economy : Portugal, 1950-2010," IFCS - Working Papers in Economic History.WH wp10-09, Universidad Carlos III de Madrid. Instituto Figuerola.
    24. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    25. Thomas I. Palley, 1996. "Post Keynesian Economics," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-37412-6, October.
    26. Vogelsang, Timothy J & Perron, Pierre, 1998. "Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1073-1100, November.
    27. 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.
    28. 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.
    29. Brandt, Patrick T. & Freeman, John R., 2006. "Advances in Bayesian Time Series Modeling and the Study of Politics: Theory Testing, Forecasting, and Policy Analysis," Political Analysis, Cambridge University Press, vol. 14(1), pages 1-36, January.
    30. Correia, Isabel H. & Neves, Joao L. & Rebelo, Sergio, 1992. "Business cycles from 1850 to 1950 : New facts about old data," European Economic Review, Elsevier, vol. 36(2-3), pages 459-467, April.
    31. James D. Hamilton, 2017. "Why You Should Never Use the Hodrick-Prescott Filter," NBER Working Papers 23429, National Bureau of Economic Research, Inc.
    32. Domenico Giannone & Michèle Lenza & Lucrezia Reichlin, 2012. "Money, Credit, Monetary Policy and the Business Cycle in the Euro Area," Working Papers ECARES ECARES 2012-008, ULB -- Universite Libre de Bruxelles.
    33. Carlo Migliardo, 2010. "Monetary Policy Transmission in Italy: A BVAR Analysis with Sign Restriction," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(2), pages 139-167, June.
    34. Maddison, Angus, 1987. "Growth and Slowdown in Advanced Capitalist Economies: Techniques of Quantitative Assessment," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 649-698, June.
    35. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
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    More about this item

    Keywords

    monetary aggregates; unit roots; structural breaks; cointegration; causality;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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