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Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?

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  • Patrick M. Crowley
  • David Hudgins

Abstract

It has recently been widely recognized that monetary policy objectives change through time as our understanding of monetary policy and its impact on the macroeconomy evolves. In recent years there has been an extensive review of the framework for monetary policy at major central banks around the world, given the practical problems that have been encountered with inflation targets. This paper is a contribution to this debate, in that the aim of this paper is to evaluate the consequences of adopting different monetary policy objectives in the U.S. macroeconomic policy setting. To accomplish this, we first decompose U.S. macroeconomic data using a time‐frequency domain technique, namely discrete wavelet analysis. We then model the behavior of the U.S. economy over each wavelet frequency range and use our estimated parameters to construct a tracking model. To illustrate the usefulness of this approach, we simulate jointly optimal fiscal and monetary policy with different short‐term monetary targets: an inflation target, a money growth target, an interest rate target, and a real economic growth target. The results show that the most effective monetary policy targets to achieve economic growth are either inflation targets or economic growth targets.

Suggested Citation

  • Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    • Handle: RePEc:bla:manchs:v:90:y:2022:i:2:p:144-170
    DOI: 10.1111/manc.12391
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    References listed on IDEAS

    as
    1. Jesper Lindé, 2018. "DSGE models: still useful in policy analysis?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 269-286.
    2. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    3. Patrick M. Crowley & David Hudgins, 2021. "Is the Taylor rule optimal? Evaluation using a wavelet-based control model," Applied Economics Letters, Taylor & Francis Journals, vol. 28(1), pages 54-60, January.
    4. Ravenna, Federico, 2007. "Vector autoregressions and reduced form representations of DSGE models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2048-2064, October.
    5. Benati, Luca, 2009. "Long run evidence on money growth and inflation," Working Paper Series 1027, European Central Bank.
    6. Klaus Schmidt-Hebbel & Matías Tapia, 2002. "Monetary Policy Implementation and Results in Twenty Inflation-Targeting Countries," Working Papers Central Bank of Chile 166, Central Bank of Chile.
    7. repec:zbw:bofrdp:2019_011 is not listed on IDEAS
    8. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    9. Arif Dar & Amaresh Samantaraya & Firdous Shah, 2014. "The predictive power of yield spread: evidence from wavelet analysis," Empirical Economics, Springer, vol. 46(3), pages 887-901, May.
    10. António Afonso & José Alves & Raquel Balhote, 2019. "Interactions between monetary and fiscal policies," Journal of Applied Economics, Taylor & Francis Journals, vol. 22(1), pages 132-151, January.
    11. Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 49-71, March.
    12. David Kendrick & George Shoukry, 2014. "Quarterly Fiscal Policy Experiments with a Multiplier-Accelerator Model," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 269-293, October.
    13. António Rua, 2012. "Money Growth and Inflation in the Euro Area: A Time-Frequency View," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 875-885, December.
    14. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    15. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1, June.
    16. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    17. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    18. Kevin L. Kliesen, 2019. "Is the Fed Following a “Modernized” Version of the Taylor Rule? Part 2," Economic Synopses, Federal Reserve Bank of St. Louis, issue 3, pages 1-3.
    19. Iolanda Lo Cascio, 2013. "Decline In Us Output Growth Volatility: A Wavelet Analysis," Manchester School, University of Manchester, vol. 81(2), pages 226-242, March.
    20. Wen-Yi Chen, 2016. "Health progress and economic growth in the USA: the continuous wavelet analysis," Empirical Economics, Springer, vol. 50(3), pages 831-855, May.
    21. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).
    22. Marco Gallegati & Mauro Gallegati & James Bernard Ramsey & Willi Semmler, 2011. "The US Wage Phillips Curve across Frequencies and over Time," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 489-508, August.
    23. Kevin L. Kliesen, 2019. "Is the Fed Following a “Modernized” Version of the Taylor Rule? Part 1," Economic Synopses, Federal Reserve Bank of St. Louis, issue 2, pages 1-2.
    24. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.
    25. Ben S. Bernanke & Frederic S. Mishkin, 1997. "Inflation Targeting: A New Framework for Monetary Policy?," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 97-116, Spring.
    26. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    27. Maciej Ryczkowski, 2021. "Money and inflation in inflation-targeting regimes – new evidence from time–frequency analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 17-44, January.
    28. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    29. Tobin, James, 1983. "Monetary Policy: Rules, Targets, and Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 15(4), pages 506-518, November.
    30. David Hudgins & Joon Na, 2016. "Entering H $$^{\infty }$$ ∞ -Optimal Control Robustness into a Macroeconomic LQ-Tracking Model," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 121-155, February.
    31. Aviral Tiwari & Niyati Bhanja & Arif Dar & Faridul Islam, 2015. "Time–frequency relationship between share prices and exchange rates in India: Evidence from continuous wavelets," Empirical Economics, Springer, vol. 48(2), pages 699-714, March.
    32. repec:zbw:bofrdp:2016_021 is not listed on IDEAS
    33. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    34. Patrick M. Crowley & David Hudgins, 2018. "Evaluating South African Fiscal and Monetary Policy Trade‐offs Using a Wavelet‐Based Model," South African Journal of Economics, Economic Society of South Africa, vol. 86(4), pages 401-427, December.
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