№ 2020/4
MacroeconomicsBANDURA Oleksandr 1
1Institute for Economics and Forecasting, NAS of Ukraine
Providing complementarity for the main components of macroeconomic dynamics
ABSTRACT ▼
We proposed new way to provide complementarities of main macroeconomic values — economic growth, employment and inflation. It was shown at the example of
monetary policy of world’s main central banks that unofficially the banks are trying
to control all three main macroeconomic values, to provide their complementarities. Although officially they mainly have one purpose mandate that is inflation (except of the U.S. central bank that should control both inflation and employment). It
is difficult to provide complementarities of three main macroeconomic values at
the absence of some economic model that connect as all three integrated values,
as numerous intermediate indicators, which determine every of three main values.
Finally, choice of any regulation instrument is determined by the model chosen by
regulator that provides interconnection between integrated values and intermediate indicators. Analyzing history of monetary policy for world’s main central
banks we revealed changing efficiency for their regulation instruments from the
point of its affects on economic growth, employment and inflation. It varies from
maximum efficiency in optimum point in time to minimum efficiency that requires
change of regulation instrument to provide more stable and forecast able the
cause-result type connection between final and intermediate indicators.
Based on the author’s CMI-model of macroeconomic dynamics, we substantiated
the formula that connects between each other both the three main macroeconomic indicators and numerous intermediate variables. It allows us, targeting only one
integrated indicator — cumulative market imperfections, — to control economic
growth, employment and inflation at the same time. For this purpose we can
chose all possible instrument as of monetary policy, as of the other kinds of regulations (fiscal, antitrust, innovation ones etc.). Besides, we would be able to control efficiency of how applied regulation instruments affect main macroeconomic
values, to determine the quantitative criterion of optimum efficiency for regulation
instruments.
Keywords:economic growth, employment, inflation, monetary policy, targeting
JEL: E30, E31, E32, E37
Article in Russian (pp. 78 - 98) | Download | Downloads :213 |
Article in Ukrainian (pp. 78 - 98) | Download | Downloads :318 |
REFERENCES ▼
1. Bandura, O. V. (2016). General economic cycles model — cummulative inefficiency model. Ekon. teor. – Economic theory, 1, 86-100.
doi.org/10.15407/etet2016.01.086 [in Ukrainian].
2. Bandura, O. V. (2017). The efficiency of monetary (regulation) policy and
sustainable growth. Ekon. teor. – Economic theory, 1, 77-93.
doi.org/10.15407/etet2017.01.077 [in Ukrainian].
3. Bandura, O. V. (2019). Cyclism as a form of combining stability and instability in economic development. Ekon. prognozuvannв – Economy and forecasting,
4, 7-23.
doi.org/10.15407/eip2019.04.007 [in Ukrainian].
4. Polterovych, V. (1997). The crisis of economic theory. Report given at the
seminar "Unknown Economics" at the CEMI RAS in January 1997. Retrieved from
mathecon.cemi.rssi.ru/vm_polterovich/files/Crisis_Economic_Theory.pdf
5. Fischer, S., Dornbusch, R., Shmalenzi, R. (1993). Economics. Moscow: Delo
LTD [in Russian].
6. Amamiya, M. (January 11, 2017). History and Theories of Yield Curve
Control. Keynote Speech at the Financial Markets Panel Conference to
Commemorate the 40th Meeting. January 11. Retrieved from
www.boj.or.jp/en/announcements/press/koen_2017/data/ko170111a1.pdf
7. Baro, R. J., Sala-i-Martin, X. (2004). Economic Growth – 2nd ed.: The MIT
Press, USA.
8. Bernanke, B., Mihov, I. (1995). Measuring monetary policy. Working paper,
Institute for Advanced Studies (IHS). Economic series, Vienna, 10.
doi.org/10.3386/w5145
9. Editorial Board of Bloomberg (August 26, 2020). The Fed’s Big Rethink on
Monetary Policy. Bloomberg Opinion.
10. Friedman, M. (1968). The Role of Monetary Policy. American Economic
Review, 58(1), 1-17.
11. Gongloff, M. (August 26, 2020). The Fed Needs to Get With the Times.
Bloomberg Opinion.
12. Humpage, O. (November 29, 2016). The Fed’s Yield-Curve-Control Policy.
Economic Commentary. Federal Reserve Bank of Cleveland, N 15. Retrieved from
www.clevelandfed.org/newsroom-and-events/publications/economic-commentary/2016-economiccommentaries/ec-201615-the-feds-yield-curve-controlpolicy.aspx?fbclid=IwAR37FUpV4EgINpNdKo4pZEhMxDUsEVsYIX8BIRGUn3OhpM36hxbieA7DYhU
13. Kuroda, H. (October 8, 2016) Quantitative and Qualitative Monetary Easing
(QQE) with Yield Curve Control: New Monetary Policy Framework for Overcoming
Low Inflation. Speech at the Brookings Institution in Washington, D.C. by Governor
of the Bank of Japan. Retrieved from
www.boj.or.jp/en/announcements/press/koen_2016/data/ko161009a.pdf
14. Meltzer, A. (1987). Limits of Short-Run Stabilization Policy. Economic Inquiry, 25, 1-14.
doi.org/10.1111/j.1465-7295.1987.tb00718.x
15. Orphanides, A. (January, 2002). Monetary policy rules and the Great Inflation. Division of Monetary Affairs, Board of Governors of the Federal Reserve System: materials for the January 2002 Meeting of the American Economic Association, Atlanta, GA.
doi.org/10.17016/FEDS.2002.08
16. Taylor, J. (1993). Discretion versus Policy Rules in Practice. CarnegieRochester Conference Series on Public Policy, 39, 195-214.
doi.org/10.1016/0167-2231(93)90009-L
17. U.S. National Bureau of Economic Research (2020). Retrieved from
www.nber.org
18. Wright, J. H. (2006). The Yield Curve and Predicting Recessions. Finance
and Economics Discussion Series. Federal Reserve Board.
doi.org/10.17016/FEDS.2006.07