Using Macroeconomic Models for Monetary Policy in Ukraine
a National Bank of Ukraine, Kyiv, Ukraine
Abstract

An important precondition for successful implementation of inflation targeting is the ability of the central bank to forecast inflation given the fact that the inflation forecast has become an intermediate target. Certainly, this means there should be clear understanding of the monetary policy transmission mechanism functioning within the bank, because it is precisely through transmission channels that a central bank has to ensure convergence of its inflation forecast to the target. And it is almost impossible to pursue inflation targeting without a set of macroeconomic models that describes the monetary policy transmission mechanism and helps to analyse the current state of the economy as well as forecast (simulate) short- and medium-term macroeconomic scenarios. This article provides a review of the current state of macroeconomic modelling at central banks and describes the history of development and actual stance of the National Bank of Ukraine’s system of macroeconomic models. The existing system provides quite reliable support for the current monetary policy decision-making process, but it has to be improved by implementing a more sophisticated model (such as a dynamic stochastic general equilibrium model) and enhancing the set of econometric models for shortterm forecast purposes in the future.

Publication History
Avaliable online 29 September 2015
3498
views
1887
downloads
Full Text
Citation
Cite as: Nikolaychuk, S., Sholomytskyi, Y. (2015). Using Macroeconomic Models for Monetary Policy in Ukraine. Visnyk of the National Bank of Ukraine, 233, 54-64. https://doi.org/10.26531/vnbu2015.233.054
Citation Format

Metrics
References

Adolfson, М., Laseen, S., Christiano, L., Trabandt, M., Walentin, К. (2013). Ramses II – Model Description. Occasional Paper Series, 12. Sveriges Riksbank.

Andrle, M., Hledik, T., Kamenik, O., Vlcek, J. (2009). Implementing the new structural model of the Czech National Bank. Working Paper Series, 2-2009. Czech National Bank.

Banbura, M., Giannone, D., Modugno M., Reichlin L. (2013). Now-casting and the real-time data flow. Working Papers, 1564. European Central Bank. https://doi.org/10.1016/B978-0-444-53683-9.00004-9

Benes, J., Kumhof, M., Laxton, D. (2014). Financial crises in DSGE models: A prototype model. Working Paper, 14-57. International Monetary Fund. https://doi.org/10.5089/9781475540895.001

Bernanke, B., Gertler, M., Gilchrist, S. (1999). The financial accelerator in a quantitative business cycle framework, in: Taylor, J. ., Woodford, M. (red.), Handbook of Macroeconomics, 1(C), 1341-1393. https://doi.org/10.1016/s1574-0048(99)10034-x

Brubakk, L., Husebo, T. A., Maih, J., Olsen, K., Ostnor, M. (2006). Finding NEMO: Documentation of the Norwegian economy model. Staff Memo, 6. Norges Bank.

Brubakk, L., Sveen, T. (2009). NEMO – A new macro model for forecasting and monetary policy analysis. Norges Bank Economic Bulletin, 80(1), 39-47.

Burgess, S., Fernandez-Corugedo, E., Groth, C., Harrison, R., Monti, F., Theodoridis, K., Waldron, M. (2013). The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models. Working Paper, 471. Bank of England. https://doi.org/10.2139/ssrn.2266506

Cespedes, L. F., Fornero, J., Gali, J. (2012). Non-Ricardian aspects of fiscal policy in Chile. Working Paper, 663. Central Bank of Chile.

Christiano, L. J., Trabandt, M., Walentin, K. (2010). DSGE models for monetary policy analysis. Working Papers Series, 16074. National Bureau of Economic Research. https://doi.org/10.3386/w16074

Christoffel, K., Coenen, G., Warne, A. (2008). The new area-wide model of the Euro area. A micro-founded open-economy model for forecasting and policy analysis. Working Paper Series, 944. European Central Bank.

Coats, W., Laxton, D., Rose, D. (2003). The Czech National Bank's Forecasting and Policy Analysis System. Prague: Czech National Bank.

Coenen, G., Straubk R. (2004). Non-Ricardian households and fiscal policy in an estimated DSGE model of the euro area, manuscript prepared for the International Finance conference on New Policy Thinking in Macroeconomics, New York.

Dorich, J., Johnston, M., Mendes, R., Murchison, S., Zhang, Y. (2013). ToTEM II: An updated version of the bank of Canada's quarterly projection model. Technical Report, 100. Bank of Canada.

Gerdrup, K. R., Nicolaisen, J. (2011). On the purpose of models – The Norges Bank experience. Staff Memo, 06. Norges Bank.

Goodfriend, M., McCallum, B. T. (2007). Banking and interest rates in monetary policy analysis: A quantitative exploration. Journal of Monetary Economics, 54(5), 1480-1507. https://doi.org/10.1016/j.jmoneco.2007.06.009

Harrison, R., Nikolov, K., Quinn, M., Ramsay, G., Scott, A., Thomas, R. (2005). The Bank of England Quarterly Model. London: Bank of England.

Kilponen, J., Ripatti, A. (2006). Learning to forecast with a DGE Model, Unpublished manuscript. Retrieved from http://www.bde.es/f/webpi/SES/seminars/2006/files/sie0619.pdf

Laxton, D., Rose, D., Scott, A. (2009). Developing a structured forecasting and policy analysis system to support inflation-forecast targeting (IFT). Working Paper, 65. International Monetary Fund. https://doi.org/10.5089/9781451872125.001

Liebermann, J. (2012). Short-term forecasting of quarterly gross domestic product growth. Quarterly Bulletin Articles, 74-84. Central Bank of Ireland.

Lucas, R. J. (1976). Econometric policy evaluation: A critique. Carnegie-Rochester Conference Series on Public Policy, 1(1), 19-46. https://doi.org/10.1016/S0167-2231(76)80003-6

Nikolaychuk, S., Mariyko, E. (2007). Estimation of equilibrium and cyclical components of macroeconomic indicators using Kalman filter. Visnyk of the National Bank of Ukraine, 5, 58-64.

Ogunc, F., Akdogan, K., Baser, S., Chadwick, M. G., Ertug, D., Hulagu, T., Kosem, S., Ozmen, M. U., Tekatli, N. (2013). Short-term inflation forecasting models for Turkey and a forecast combination analysis. Economic Modelling, 33, 312-325. https://doi.org/10.1016/j.econmod.2013.04.001

Petryk, O., Nikolaychuk, S. (2006). The structural model of transmission mechanism in Ukraine. Visnyk of the National Bank of Ukraine, 3, 12-20.

Polovnev, Y., Nikolaychuk, S. (2006). Modelling of transition from exchange rate peg to inflation targeting: Case of Ukraine. Paper presented at the workshop Applied economic research at central banks in Deutsche Bundesbank, Frankfurt am Main (13-17 November 2006).

Roger, S., Vlcek, J. (2012). Macrofinancial modeling at Central Banks: Recent developments and future directions. Working Paper, 12-21. International Monetary Fund. https://doi.org/10.5089/9781463931834.001

Schumacher, C. (2014). MIDAS and bridge equations. Discussion Paper, 26. Deutsche Bundesbank.

Sholomytskyi, Y. (2012). Using the indicators of monetary sector volumes for determining the contribution of monetary conditions to consumer inflation. Visnyk of the National Bank of Ukraine, 7, 52-56.

Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48. https://doi.org/10.2307/1912017

Smets, F., Wouters, R. (2003). An estimated dynamic stochastic general equilibrium model of the euro area. Journal of the European Economic Association, 1(5), 1123-1175. https://doi.org/10.1162/154247603770383415

Stock, J. H., Watson, M. W. (1989). New indexes of coincident and leading economic indicators. NBER Macroeconomics Annual, 4, 351-394. https://doi.org/10.1086/654119

Weber, A. (2009). The role of forecasting for central banks, Keynote address given at the conference on Forecasting and monetary policy, organized by the Deutsche Bundesbank, Freie Universitat Berlin and the Viessmann European Research Centre, Berlin, 23 March 2009.

Woodford, M. (2003). Interest & Prices. Princeton: Princeton University Press.

Rights and Permissions
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material.
Submit Your Paper