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On the importance of sectoral shocks for price-setting

  • Beck, Guenter W.
  • Hubrich, Kirstin
  • Marcellino, Massimiliano

We use a novel disaggregate sectoral euro area dataset with a regional breakdown that allows explicit estimation of the sectoral component of price changes (rather than interpreting the idiosyncratic component as sectoral as done in other papers). Employing a new method to extract factors from over-lapping data blocks, we find for our euro area data set that the sectoral component explains much less of the variation in sectoral regional inflation rates and exhibits much less volatility than previous findings for the US indicate. Country- and region-specific factors play an important role in addition to the sector-specific factors. We conclude that sectoral price changes have a 'geographical' dimension, as yet unexplored in the literature, that might lead to new insights regarding the properties of sectoral price changes.

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Paper provided by Center for Financial Studies (CFS) in its series CFS Working Paper Series with number 2009/32.

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Date of creation: 2009
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Handle: RePEc:zbw:cfswop:200932
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  1. Mackowiak, Bartosz Adam & Moench, Emanuel & Wiederholt, Mirko, 2009. "Sectoral Price Data and Models of Price Setting," CEPR Discussion Papers 7339, C.E.P.R. Discussion Papers.
  2. Beck, Günter W. & Hubrich, Kirstin & Marcellino, Massimiliano, 2006. "Regional inflation dynamics within and across euro area countries and a comparison with the US," Working Paper Series 0681, European Central Bank.
  3. George Kapetanios & Massimiliano Marcellino, 2006. "Factor-GMM Estimation with Large Sets of Possibly Weak Instruments," Working Papers 577, Queen Mary University of London, School of Economics and Finance.
  4. Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
  5. Haroon Mumtaz & Jean Imbs & Morten O. Ravn & Helene Rey, 2003. "PPP Strikes Back; Aggregation and the Real Exchange Rate," IMF Working Papers 03/68, International Monetary Fund.
  6. Ben Bernanke & Jean Boivin & Piotr S. Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, MIT Press, vol. 120(1), pages 387-422, January.
  7. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," NBER Working Papers 8290, National Bureau of Economic Research, Inc.
  8. Frederic S. Mishkin, 2007. "Inflation Dynamics," International Finance, Wiley Blackwell, vol. 10(3), pages 317-334, December.
  9. Luis J. Álvarez & Emmanuel Dhyne & Marco M. Hoeberichts & Claudia Kwapil & Hervé le Bihan & Patrick Lünnemann & Fernando Martins & Roberto Sabbatini & Harald Stahl & Philip Vermeulen & Jouko Vilmunen, 2005. "Sticky prices in the euro area: a summary of new micro evidence," Banco de Espa�a Working Papers 0542, Banco de Espa�a.
  10. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
  11. Emanuel Moench & Serena Ng & Simon Potter, 2013. "Dynamic Hierarchical Factor Model," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1811-1817, December.
  12. Bartosz Mackowiak & Mirko Wiederholt, 2004. "Optimal Sticky Prices under Rational Inattention," SFB 649 Discussion Papers SFB649DP2005-040, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany, revised Jul 2005.
  13. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  14. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  15. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, 09.
  16. Mark Bils & Peter J. Klenow, 2002. "Some Evidence on the Importance of Sticky Prices," NBER Working Papers 9069, National Bureau of Economic Research, Inc.
  17. Massimiliano Marcellino & Carlo A. Favero & Francesca Neglia, 2005. "Principal components at work: the empirical analysis of monetary policy with large data sets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 603-620.
  18. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
  19. repec:nbr:nberwo:131477 is not listed on IDEAS
  20. Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
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