Politická ekonomie
Politická ekonomie
Prague Economic Papers
University of Economics, Prague

Prague Economic Papers - Articles first published online

What Common Factors are Driving Inflation in CEE Countries?

DOI: https://doi.org/10.18267/j.pep.640

[full text (PDF)]

Aleksandra Halka, Grzegorz Szafrański

Published online: 29. 6. 2017

We investigate commonality and heterogeneity of inflationary processes in ten Central and Eastern European (CEE) countries over the period 2001–2013. The research is important for the analysis of monetary policy as it helps understand the origin of price formation from both sectoral and country perspective. With a multi-level factor model we decompose productlevel inflation rates into the CEE region-wide, sector, country, country-sector, and idiosyncratic components. The outcomes indicate that CEE region-wide and country specific components are more persistent than sector and product-level components, which is in line with similar studies for core EU countries. Regional factors explain about 17% of variance in monthly price changes, which is more than any other factors (below 10% each). This result is at odds with the assumptions of many sectoral DSGE models and empirical evidence on the importance of sectoral price shocks in developed economies. The difference may be related to the conclusion that the first regional factor is associated with common disinflationary process that occurred in CEE economies in the 2000s, whereas the second one reveals significant correlations with global factors, especially commodity prices and euro area price developments.

Keywords: CEE economies, multi-level factor model, product-level inflation

JEL Classification: C38, C55, E31, E52, F62

References:

Allard, C. (2007). Inflation in Poland: How Much Can Globalization Explain? International

Monetary Fund. Working Papers No. 41, https://doi.org/10.5089/9781451866056.001

Altissimo, F., Benigno, P., Palenzuela, D. R. (2011). Inflation Differentials in a Currency Area: Facts, Explanations and Policy. Open Economies Review, 22(2), 189–233, https://doi.org/10.1007/s11079-010-9189-6

Bai, J., Ng, S. (2002). Determining the Number of Factors in Approximate Factor Models.

Econometrica, 70(1), 191–221, https://doi.org/10.1111/1468-0262.00273

Beck, G. W., Hubrich, K., Marcellino, M. (2009). Regional Inflation Dynamics within and across Euro Area Countries and a Comparison with the United States. Economic Policy, 24(57), 141–184, https://doi.org/10.1111/j.1468-0327.2009.00214.x

Beck, G. W., Hubrich, K., Marcellino, M. (2011). On the Importance of Sectoral and Regional Shocks for Price-Setting. Centre for Economic Policy Research. Discussion Papers No. 8357.

Bils, M., Klenow, P. J. (2004). Some Evidence on the Importance of Sticky Prices. Journal

of Political Economy, 112(5), 947–985, https://doi.org/10.1086/422559

Boivin, J., Giannoni, M. P., Mihov, I. (2009). Sticky Prices and Monetary Policy: Evidence

from Disaggregated US Data. American Economic Review, 99(1), 350–384, https://doi.

org/10.1257/aer.99.1.350

Borio, C. E., Filardo, A. (2007). Globalisation and Inflation: New Cross-Country Evidence

on the Global Determinants of Domestic Inflation. Bank for International Settlements.

Working Papers No. 227, https://doi.org/10.2139/ssrn.1013577

Choueiri, N., Ohnsorge, F., van Elkan, R. (2008). Inflation Differentials in the EU:

A Common (Factors) Approach with Implications for EU8 Euro Adoption Prospects.

International Monetary Fund. Working Papers No. 21.

Ciccarelli M., Mojon B. (2010). Global Inflation. The Review of Economics and Statistics, MIT Press, 92(3), 524–535 (prev. ECB Working Paper 2005 No. 537), https://doi.org/10.1162/

rest_a_00008

Dabusinskas A., Randveer, M. (2006). Comparison of Pricing Behaviour of Firms in the Euro Area and Estonia. Bank of Estonia. Working Papers No. 8.

European Commission (2013). European Economy. Member States’ Energy Dependence:

An Indicator-Based Assessment. Occasional Papers No. 145, April 2013.

Forni, M., Hallin, M., Lippi, M., Reichlin, L. (2000). The Generalized Dynamic-Factor Model: Identification and Estimation. The Review of Economics and Statistics, 82(4), 540–554, https://doi.org/10.1162/003465300559037

Hakkio, C. S. (2009). Global Inflation Dynamics. Federal Reserve Bank of Kansas City. Research Working Papers No. RWP 09-01, https://doi.org/10.2139/ssrn.1335348

Halka, A., Kotlowski, J. (2014). Does Domestic Output Gap Matter for Inflation in a Small

Open Economy? Eastern European Economics, 52(3), 89–107, https://doi.org/10.2753/

eee0012-8775520305

Halka, A., Szafranski, G. (2015). What Common Factors Are Driving Inflation in CEE Countries. NBP Working Papers No. 225, https://www.nbp.pl/publikacje/materialy_i_studia/225_en.pdf

Kaufmann, D., Lein, S. M. (2013). Sticky Prices or Rational Inattention – What Can We Learn from Sectoral Price Data? European Economic Review, 64, 384–394, https://doi.org/10.1016/j.euroecorev.2013.10.001

Krusper, B. (2012). The Role of External and Country Specific Factors in Hungarian

Inflation Developments. Magyar Nemzeti Bank. Working Paper No. 5.

Mackowiak, B. (2006). How Much of the Macroeconomic Variation in Eastern Europe Is

Attributable to External Shocks? Comparative Economic Studies, 48(3), 523–544, https://

doi.org/10.1057/palgrave.ces.8100143

Mackowiak, B., Moench, E., Wiederholt, M. (2009). Sectoral Price Data and Models of Price

Setting. Journal of Monetary Economics, 56, 78–99, https://doi.org/10.1016/j.

jmoneco.2009.06.012

Mackowiak, B., Wiederholt, M. (2009). Optimal Sticky Prices under Rational Inattention.

American Economic Review, 99(3), 769–803, https://doi.org/10.1257/aer.99.3.769

Monacelli, T., Sala L. (2009). The International Dimension of Inflation: Evidence from

Disaggregated Consumer Price Data. Journal of Money, Credit and Banking, Supplement to

41(1), 101–120, https://doi.org/10.1111/j.1538-4616.2008.00200.x

Pehnelt, G. (2007). Globalisation and Inflation in OECD Countries. European Centre for

International Political Economy. Brussels Working Paper No. 4.

Stavrev, E. (2009). Forces Driving Inflation in the New EU10 Members. International Monetary Fund. Working Papers No. 51, https://doi.org/10.5089/9781451871999.001

Stock, J., Watson, M. (2002). Macroeconomic Forecasting Using Diffusion Indexes.

Journal of Business and Economic Statistics, 20(2), 147–162, https://doi.

org/10.1198/073500102317351921