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Sectoral Price Data and Models of Price Setting

  • Mackowiak, Bartosz Adam
  • Moench, Emanuel
  • Wiederholt, Mirko

We estimate impulse responses of sectoral price indexes to aggregate shocks and to sector-specific shocks. In the median sector, 100 percent of the long-run response of the sectoral price index to a sector-specific shock occurs in the month of the shock. The standard Calvo model and the standard sticky-information model can match this finding only under extreme assumptions concerning the profit-maximizing price. The rational-inattention model of Ma´ckowiak and Wiederholt (2009a) can match this finding without an extreme assumption concerning the profit-maximizing price. Furthermore, there is little variation across sectors in the speed of response of sectoral price indexes to sector-specific shocks. The rational-inattention model matches this finding, while the Calvo model predicts too much cross-sectional variation.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 7339.

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Date of creation: Jun 2009
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Handle: RePEc:cpr:ceprdp:7339
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  1. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2008. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," Working Papers ECARES 2008_034, ULB -- Universite Libre de Bruxelles.
  2. Reis, Ricardo, 2005. "Inattentive Producers," CEPR Discussion Papers 5393, C.E.P.R. Discussion Papers.
  3. 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.
  4. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
  5. Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-84, March.
  6. Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
  7. Mackowiak, Bartosz Adam & Wiederholt, Mirko, 2007. "Optimal Sticky Prices under Rational Inattention," CEPR Discussion Papers 6243, C.E.P.R. Discussion Papers.
  8. Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
  9. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
  10. Otrok, Christopher & Whiteman, Charles H, 1998. "Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 997-1014, November.
  11. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-87.
  12. Chib, Siddhartha & Greenberg, Edward, 1994. "Bayes inference in regression models with ARMA (p, q) errors," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 183-206.
  13. Mackowiak, Bartosz Adam & Wiederholt, Mirko, 2010. "Business Cycle Dynamics under Rational Inattention," CEPR Discussion Papers 7691, C.E.P.R. Discussion Papers.
  14. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, MIT Press, vol. 123(4), pages 1415-1464, November.
  15. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
  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. Ricardo Reis & Mark W. Watson, 2010. "Relative Goods' Prices, Pure Inflation, and the Phillips Correlation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 128-57, July.
  18. Patrick J. Kehoe & Virgiliu Midrigan, 2007. "Sticky prices and sectoral real exchange rates," Working Papers 656, Federal Reserve Bank of Minneapolis.
  19. Mark Gertler & John Leahy, 2008. "A Phillips Curve with an Ss Foundation," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 533-572, 06.
  20. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  21. Christopher Otrok & Charles H. Whiteman, 1996. "Baynesian Leading Indicators: Measuring and Predicting Economic Conditions," Macroeconomics 9610002, EconWPA.
  22. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
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