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Monetary Policy for a Resource-Rich Economy and the Zero Lower Bound

https://doi.org/10.18288/1994-5124-2022-3-44-73

Аннотация

The paper studies monetary policy (MP) under a zero lower bound (ZLB) on the basis of a DSGE model. The economy is open and highly dependent on the terms of trade (TOT). Dynamics are driven by a TOT shock and an external interest rate shock. The change in the transmission of these external shocks in the presence of ZLB is analyzed. Unlike developed economies, for resource-rich countries the ZLB problem becomes relevant during economic expansion when external economic conditions improve. Positive external shocks lead to strengthening of the national currency, a decrease in inflation and a decrease in interest rate under inflation targeting MP. The paper shows that, with an inflation target of 4% and no persistence in interest rates, a positive TOT shock of 1 standard deviation is sufficient to drive the economy into a ZLB. At the same time, if the economy faces ZLB, the impact of the shocks is reduced, since there is an increase in real interest rates, which restrains an increase in household consumption and, accordingly, aggregate demand. Optimal MP rules under the ZLB are analyzed. When conducting MP, it turns out to be optimal to maintain high inertia in interest rates and be less responsive to changes in inflation, which minimizes the likelihood of binding ZLB. Contrary to optimal MP rules, the current MP of the Bank of Russia, along with the inflation target of 4%, excludes the possibility of reaching the ZLB, but is far from the optimal degree of response to changes in inflation. It is also found that, under the current MP, the likelihood of reaching the effective lower bound (ELB) is quite significant.

Ключевые слова


JEL: D58, E32, E52, E58

Об авторах

M. Yu. Andreyev
Bank of Russia; Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Россия

Mikhail Yu. Andreyev - Cand. Sci. (Phys. and Math.), Senior Economist; Senior Researcher

12 Neglinnaya ul., Moscow, 107016

82 Vernadskogo pr., Moscow, 119571



A. V. Polbin
Russian Presidential Academy of National Economy and Public Administration (RANEPA); Gaidar Institute for Economic Policy
Россия

Andrey V. Polbin - Cand. Sci. (Econ.), Head of the Center for Mathematical Modeling of Economic Processes; Head of the International Laboratory for Mathematical Modeling of Economic Processes

82 Vernadskogo pr., Moscow, 119571

3–5, Gazetnyy per., Moscow, 125009



Список литературы

1. Adolfson M., Laséen S., Lindé J., Svensson L. Monetary Policy Trade-Offs in an Estimated Open-Economy DSGE Model. Journal of Economic Dynamics and Control, 2014, vol. 42(C), pp. 33-49. DOI:10.1016/j.jedc.2014.02.012.

2. Adolfson M., Laséen S., Lindé J., Svensson L. Optimal Monetary Policy in an Operational Medium‐Sized DSGE Model. Journal of Money, Credit and Banking, 2011, vol. 43, no. 7, pp. 1287-1331. DOI:10.1111/j.1538-4616.2011.00426.x.

3. Ambler S., Guay A., Phaneuf L. Endogenous Business Cycle Propagation and the Persistence Problem: The Role of Labor-Market Frictions. Journal of Economic Dynamics and Control, 2012, vol. 36, no. 1, pp. 47-62. DOI:10.1016/j.jedc.2011.07.003.

4. Andreyev M. Yu., Polbin A. V. Issledovanie effekta finansovogo akseleratora v DSGE modeli s opisaniem proizvodstva eksportnogo produkta [Studying the Financial Accelerator Effect in a Two-Sector DSGE Model for an Export-Oriented Economy]. Zhurnal novoy ekonomicheskoy assotsiatsii [Journal of the New Economic Association], 2019, vol. 44, no. 4, pp. 12-49. DOI:10.31737/2221-2264-2019-44-4-1. (In Russ.)

5. Baluta V. I., Shul’ts D. N., Lavrinenko P. A. Assessing the Impact of Global Hydrocarbon Prices on the Russian Economy Based on the DSGE Model with Capital-Owning Firms. Studies on Russian Economic Development, 2022, vol. 33, no. 1, pp. 107-117. DOI:10.1134/S1075700722010038.

6. Benkhodja M. Monetary Policy and the Dutch Disease Effect in an Oil Exporting Economy. International Economics, 2014, vol. 138, pp. 78-102. DOI:10.1016/j.inteco.2014.01.003.

7. Bernanke B. S., Gertler M., Gilchrist S. The Financial Accelerator in 7. a Quantitative Business Cycle Framework. In: Handbook of Macroeconomics, Taylor B., Woodford M. (eds.), vol. 1. Amsterdam, North-Holland, 1999, pp. 1341-1393. DOI: 10.1016/S1574-0048(99)10034-X.

8. Binning A., Maih J. Modelling Occasionally Binding Constraints Using Regime-Switching. Norges Bank Working Paper, no. 23, 2017. DOI:10.2139/ssrn.3073753.

9. Céspedes L., García-Cicco J., Saravia D. Monetary Policy at the Zero Lower Bound: The Chilean Experience. Journal Economía Chilena (The Chilean Economy), 2013, vol. 16, no. 2, pp. 96-121.

10. Coibion O., Gorodnichenko Yu., Wieland J. The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound? The Review of Economic Studies, 2012, vol. 79, no. 4, pp. 1371-1406. DOI:10.1093/restud/rds013.

11. Detmers G.-A., Karagedikli O., Moessner R. Quantitative or Qualitative Forward Guidance: Does It Matter? Economic Record, 2021, vol. 97, no. 319, pp. 491-503. DOI:10.1111/1475-4932.12637.

12. Dib A. An Estimated Canadian DSGE Model with Nominal and Real Rigidities. Canadian Journal of Economics / Revue canadienne d’économique, 2003, vol. 36, no. 4, pp. 949-972. DOI:10.2307/3131808.

13. Eggertsson G. What Fiscal Policy Is Effective at Zero Interest Rates? In: NBER Macroeconomics Annual 2010, Acemoglu D., Woodford M., 2011, vol. 25, pp. 59-112. DOI:10.1086/657529.

14. Fujiwara I., Nakazono Y., Ueda K. Policy Regime Change Against Chronic Deflation? Policy Option Under a Long-Term Liquidity Trap. Journal of the Japanese and International Economies, 2015, vol. 37(C), pp. 59-81. DOI:10.1016/j.jjie.2015.05.005.

15. García-Cicco J., García-Schmidt M. Revisiting the Exchange Rate Pass Through: A General Equilibrium Perspective. Journal of International Economics, 2020, vol. 127(C). DOI:10. 1016/j.jinteco.2020.103389.

16. Guerrieri L., Iacoviello M. OccBin: A Toolkit for Solving Dynamic Models with Occasionally Binding Constraints Easily. Journal of Monetary Economics, 2015, vol. 70(C), pp. 22-38. DOI:10.1016/j.jmoneco.2014.08.005.

17. Holden T. Computation of Solutions to Dynamic Models with Occasionally Binding Constraints, 2016. https://www.tholden.org/assets/files/ComputationalPaper.pdf.

18. Huidrom R., Kose A., Matsuoka H., Ohnsorge F. How Important Are Spillovers from Major Emerging Markets? International Finance, 2020, vol. 23, no. 1, pp. 47-63. DOI: 10.1111/infi.12350.

19. Ivashchenko S. M. Dinamicheskaya stokhasticheskaya model’ obshchego ekonomicheskogo ravnovesiya s bankovskim sektorom i endogennymi defoltami firm [Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms]. Zhurnal novoy ekonomicheskoy assotsiatsii [Journal of the New Economic Association], 2013, vol. 19, no. 3, pp. 27-50. (In Russ.)

20. Kreptsev D. A., Seleznev S. M. Forecasting for the Russian Economy Using Small-Scale DSGE Models. Russian Journal of Money and Finance, 2018, vol. 77, no. 2, pp. 51-67. DOI:10.31477/rjmf.201802.51.

21. Lepetyuk V., Maliar L., Maliar S. When the U.S. Catches a Cold, Canada Sneezes: A Lower-Bound Tale Told by Deep Learning. Journal of Economic Dynamics and Control, 2020, vol. 117(C). DOI:10.1016/j.jedc.2020.103926.

22. Malakhovskaya O. A. Ispol’zovanie modeley DSGE dlya prognozirovaniya: est’ li perspektiva? [DSGE-Based Forecasting: What Should Our Perspective Be?]. Voprosy ekonomiki, 2016, vol. 12, pp. 129-146. DOI:10.32609/0042-8736-2016-12-129-146. (In Russ.)

23. Moessner R., Rungcharoenkitkul P. The Zero Lower Bound, Forward Guidance and How Markets Respond to News. BIS Quarterly Review, March 2019.

24. Motto R., Rostagno M., Christiano L. J. Financial Factors in Economic Fluctuations. ECB Working Paper, no. 1192, 2010. DOI:10.2139/ssrn.1600166.

25. Murchison S., Rennison A. ToTEM: The Bank of Canada’s New Quarterly Projection Model. Bank of Canada Technical Report, no. 97, 2006.

26. Rotemberg J. J. Sticky Prices in the United States. Journal of Political Economy, 1982, vol. 90, no. 6, pp. 1187-1211. DOI:10.1086/261117.

27. Schmidt S. Optimal Monetary and Fiscal Policy with a Zero Bound on Nominal Interest Rates. Journal of Money, Credit and Banking, 2013, vol. 45, no. 7, pp. 1335-1350. DOI:10.1111/jmcb.12054.

28. Shulgin A. G. Skolko pravil monetarnoy politiki neobkhodimo pri otsenke DSGE modeli dlya Rossii? [How Much Monetary Policy Rules Do We Need to Estimate DSGE Model for Russia?]. Prikladnaya ekonometrika [Applied Econometrics], 2014, vol. 36, no. 4, pp. 3-31. (In Russ.)

29. Smets F., Wouters R. Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. American Economic Review, 2007, vol. 97, no. 3, pp. 586-606. DOI:10.1257/aer.97.3.586.

30. Williams J. Heeding Daedalus: Optimal Inflation and the Zero Lower Bound. Brookings Papers on Economic Activity, 2009, vol. 40, no. 2, pp. 1-49. DOI:10.1353/eca.0.0066.

31. Woodford M. Quantitative Easing and Financial Stability. In: Albagli E., Saravia D., Woodford M. (eds.). Monetary Policy Through Asset Markets: Lessons from Unconventional Measures and Implications for an Integrated World. 2016, vol. 24, ch. 6, pp. 151-233.


Рецензия

Для цитирования:


Andreyev M.Yu., Polbin A.V. Monetary Policy for a Resource-Rich Economy and the Zero Lower Bound. Экономическая политика. 2022;17(3):44-73. https://doi.org/10.18288/1994-5124-2022-3-44-73

For citation:


Andreyev M.Yu., Polbin A.V. Monetary Policy for a Resource-Rich Economy and the Zero Lower Bound. Economic Policy. 2022;17(3):44-73. https://doi.org/10.18288/1994-5124-2022-3-44-73

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ISSN 1994-5124 (Print)
ISSN 2411-2658 (Online)