№ 2021/4
Scientific discussionBANDURA Oleksandr Viktorovych1
1Institute for Economics and Forecasting, NAS of Ukraine
OPTIMIZATION OF MACROECONOMIC POLICY AND STABILIZATION OF CYCLICAL ECONOMIC DYNAMICS
ABSTRACT ▼
This paper demonstrates that, despite the current mandate of monetary policy, its final goal (at least for central banks of developed countries) is the control of three main macroeconomic variables — economic growth, employment and inflation, — regardless on actual mandate for this policy. However, the priorities of realization of the final goal may face the imperfection of macroeconomic models and rules of monetary policy, which will make it impossible to control all three macroeconomic variables at the same time. The article proposes a new instrument for monetary policy ¬— aggregate cumulative market imperfection — to optimize macroeconomic variables and stabilize cyclical economic dynamics. The author demonstrates the main competitive advantages of this instrument of monetary policy as compared with typical models of macroeconomic dynamics and simple rules of monetary policy (Simons, Friedman, and Taylor rules). In particular, this instrument is valid for any combination of market conditions, for any economy and for any moment of real time. It can be used simultaneously as: 1) a target of monetary policy; 2) a simple rule of monetary policy correction in the short-run; 3) a reaction function to evaluate a backward connection between the regulator’s actions and the effect of these actions on current economic situation; and 4) an instrument to stabilize cyclical economic dynamics; 5) an instrument to forecast starting (ending) point of recessions and shift in macroeconomic trends. If we can hold the aggregate cumulative market imperfection within a given optimal interval with the help of government regulations (i.e. to target this indicator only) using all possible instruments both of monetary, and (if necessary) of other kinds of regulation policy, we will be able to optimize all three main macroeconomic variables. Optimality of these variables means providing maximum economic growth and employment under comfortable inflation for any combination of market conditions and for any moment of calendar time, which will at the same time stabilize cyclical economic dynamics. In doing so, we will not target each of these three variables separately, that is, it is practically impossible to determine quantitatively their optimal values as they change permanently over time together with the constant change of current combination of market conditions.
Keywords:monetary policy, regulation instruments, economic growth, employment, inflation, simple rules of monetary policy, economy stabilization
JEL: E30, E31, E32, E37
Article in Ukrainian (pp. 102 - 124) | Download | Downloads :263 |
REFERENCES ▼
1. Federal Reserve Education. Monetary policy basics (2021). Retrieved from
www.federalreserveeducation.org/about-the-fed/structure-and-functions/monetary-policy
2. Okun, A. (1962). Potential Output: Its Measurement and Significance. American Statistical Association Proceedings of the Business and Economic Section. Washington, D.C.: American Statistical Association.
3. Asso, P., Kahn, G., Leeson, R. (2007). The Taylor Rule and the Transformation of Monetary Policy. Federal Reserve Bank of Kansas City Research Working Paper, RWP 07-11, 41. Retrieved from
www.kansascityfed.org/documents/541/pdf-rwp07-11.pdf
4. Amamiya, M. (2017, January 11). History and Theories of Yield Curve Control. Keynote Speech at the Financial Markets Panel Conference to Commemorate the 40th Meeting. Retrieved from
www.boj.or.jp/en/announcements/press/koen_2017/data/ko170111a1.pdf
5. Svensson, L. (2011). Evaluating monetary policy. In Koenig E., Leeson R., Kahn G. (Eds.). The Taylor rule and the transformation of monetary policy (p. 245-274). Hoover institution press. Retrieved from
larseosvensson.se/files/papers/evaluating-monetary-policy.pdf
6. Orphanides, A. (2003, June). Historical Monetary Policy Analysis and the Taylor Rule. Board of Governors of the Federal Reserve System, 50. Retrieved from
www.sciencedirect.com/science/article/abs/pii/S0304393203000655; doi.org/10.17016/FEDS.2003.36
7. Baro, R.J., Sala-i-Martin, X. (2004). Economic Growth. 2nd ed. The MIT Press, USA.
8. Niemira, M., & Klein, P. (1995). Forecasting financial and economic cycles. NY: John Wiley & Sons, Inc.
9. Orphanides, A. (1997, December). Monetary Policy Rules Based on Real-Time Data. Board of Governors of the Federal Reserve System, 41. Retrieved from
www.federalreserve.gov/pubs/feds/1998/199803/199803pap.pdf; doi.org/10.17016/FEDS.1998.03
10. Tavlas, G. (2014). In Old Chicago: Simons, Friedman and the Development of Monetary-Policy Rules. The Becker Friedman Institute for Research in Economics (BFI), The University of Chicago Working Paper Series, 2014-02. Retrieved from
onlinelibrary.wiley.com/doi/abs/10.1111/jmcb.12170; doi.org/10.2139/ssrn.2382839
11. Judd, J., Rudebusch, G. (1998). Taylor’s Rule and the Fed: 1970-1997. Federal Reserve Bank of San-Francisco Economic Review, 3. Retrieved from
glennrudebusch.com/wp-content/uploads/1998_FRBSF-ER_Judd-Rudebusch_Taylors-Rule-and-the-Fed-1970-1997.pdf
12. Rudebusch, G. (2001, May). Is the Fed too timed? Monetary Policy in an Uncertain World. The Review of Economics and Statistics, LXXXIII: 2, 203-217. Retrieved from
glennrudebusch.com/wp-content/uploads/2001_REStat_Rudebusch_Is-the-Fed-Too-Timid-Monetary-Policy-in-an-Uncertain-World.pdf; doi.org/10.1162/00346530151143752
13. Belke, A, Polleit, T. (2006). How the ECB and US Fed set interest rates. HfB Working Paper Series, 72. Retrieved from
nbn-resolving.de/urn:nbn:de:101:1-2008082788
14. Belke, A., Klose, J. (2010). How do the ECB and the Fed react to financial market uncertainty? The Taylor rule in times of crisis. ROME Discussion Paper Series, 10-01, l. Retrieved from
www.econstor.eu/bitstream/10419/88238/1/772999406.pdf; doi.org/10.2139/ssrn.1592442
15. Woodford, M. (2001). The Taylor Rule and Optimal Monetary Policy. Recent advantages in monetary policy rules. American Economic Association papers and proceedings, 91: 2, 232-237. Retrieved from
www.aeaweb.org/articles?id=10.1257/aer.91.2.232; doi.org/10.1257/aer.91.2.232
16. Nikolsko-Rzhevskyy, A., Papell, D. (2015). Real-Time Historical Analysis of Monetary Policy Rules. Retrieved from
ssrn.com/abstract=2295192
17. Bandura, O.V. (2016). The general model of economic cycles is a model of cumulative market imperfections. Ekon. teor. – Economic theory, 1, 86-100.
doi.org/10.15407/etet2016.01.086 [in Ukraine].
18. Szargut, J., Morris, D. (1987). Cumulative Exergy Consumption and Cumulative Degree of Perfection of Chemical Processes. Energy Research, 11, 245-261.
doi.org/10.1002/er.4440110207
19. Taylor, J. (1993). Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy, 39, 195-214. Retrieved from
opendata.dspace.ceu.es/bitstream/10637/2345/1/p%20195_214.pdf; doi.org/10.1016/0167-2231(93)90009-L
20. Bandura, O.V. (2017). Monetary policy efficiency and sustainable growth. Ekon. teor. – Economic theory, 1, 38-53.
doi.org/10.15407/etet2017.01.077 [in Ukraine].
21. Grytsenko, A.A., Bandura, O.V. (2020). Features and factors of contemporary inflation dynamics. Ekon. teor. – Economic theory,1, 77-93.
doi.org/10.15407/etet2020.01.077 [in Ukraine].
22. Bandura, O.V. (2019). Cycle as a form of combining stability and instability in economic development. Ekon. prognozuvannâ — Economу and forecasting, 4, 7-23.
doi.org/10.15407/eip2019.04.007 [in Ukraine].