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When do firms adjust prices? Evidence from micro panel data

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  • Lein, Sarah M.

Abstract

The price-setting behavior of manufacturing firms is examined using a large panel of quarterly firm survey data from 1984 to 2007, which allows changes in firms' prices to be linked to several firm-specific variables. The results show that state-dependent pricing is clearly present in a low-inflation environment and that variables measuring the current situation of the firm, especially costs for intermediate products, are important determinants of price adjustments. Compared to purely time-dependent features, the state-dependent variables significantly add to the explanatory power of a price adjustment probability model. Macroeconomic factors are significant but contribute little in terms of the goodness of fit. Furthermore, when taking into account sticky plan models by excluding possibly predetermined price changes, the importance of state-dependent factors becomes even greater.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 57 (2010)
Issue (Month): 6 (September)
Pages: 696-715

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Handle: RePEc:eee:moneco:v:57:y:2010:i:6:p:696-715

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Web page: http://www.elsevier.com/locate/inca/505566

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Keywords: Price setting behavior Time-dependent pricing State-dependent pricing Sticky plans Costs;

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Citations

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Cited by:
  1. Daniel Kaufmann, 2009. "Price-Setting Behaviour in Switzerland: Evidence from CPI Micro Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 293-349, September.
  2. Sarah M. Lein & Eva Köberl, 2009. "Capacity Utilisation, Constraints and Price Adjustments under the Microscope," KOF Working papers 09-239, KOF Swiss Economic Institute, ETH Zurich.
  3. Ruediger Bachmann & Benjamin Born & Steffen Elstner & Christian Grimme, 2013. "Time-Varying Business Volatility, Price Setting, and the Real Effects of Monetary Policy," NBER Working Papers 19180, National Bureau of Economic Research, Inc.
  4. Simone Elmer & Thomas Maag, 2009. "The Persistence of Inflation in Switzerland: Evidence from Disaggregate Data," KOF Working papers 09-235, KOF Swiss Economic Institute, ETH Zurich.
  5. Schenkelberg, Heike, 2011. "Why are Prices Sticky? Evidence from Business Survey Data," Discussion Papers in Economics 12158, University of Munich, Department of Economics.
  6. Eva M. Köberl & Sarah M. Lein, 2011. "The NIRCU and the Phillips curve: an approach based on micro data," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 673-694, May.
  7. Carstensen, Kai & Schenkelberg, Heike, 2011. "Time- or State-Dependence? An Analysis of Inflation Dynamics using German Business Survey Data," Discussion Papers in Economics 12170, University of Munich, Department of Economics.
  8. Bo E. Honoré & Daniel Kaufmann & Sarah Marit Lein, 2012. "Asymmetries in Price-Setting Behavior: New Microeconometric Evidence from Switzerland," Working Papers 2012-09, Swiss National Bank.
  9. Heiner Mikosch, 2012. "Sticky Prices, Competition and the Phillips Curve," KOF Working papers 11-294, KOF Swiss Economic Institute, ETH Zurich.
  10. Andrea Lassmann, 2013. "Exchange Rate Transmission and Export Activity at the Firm Level," KOF Working papers 13-331, KOF Swiss Economic Institute, ETH Zurich.
  11. Boriss Siliverstovs, 2010. "Assessing Predictive Content of the KOF Barometer in Real Time," KOF Working papers 10-249, KOF Swiss Economic Institute, ETH Zurich.
  12. Heiner Mikosch, 2013. "Der Zusammenhang zwischen Preisen, Kapazitätsauslastung und Wettbewerb," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, KOF Swiss Economic Institute, ETH Zurich, vol. 7(1), pages 91-103, March.
  13. Eva Koeberl, 2009. "Die Inflationsneutrale Kapazitätsauslastung und die Phillips-Kurve in der Schweiz – Eine Analyse mit Mikrodaten," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, KOF Swiss Economic Institute, ETH Zurich, vol. 3(1), pages 67-78, March.

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