IDEAS home Printed from https://ideas.repec.org/p/bdi/wptemi/td_524_04.html
   My bibliography  Save this paper

Pricing behavior and the comovement of productivity and labor: evidence from firm-level data

Author

Listed:
  • Domenico J. Marchetti

    (Banca d'Italia)

  • Francesco Nucci

    (Universita' di Roma La Sapienza)

Abstract

Recent contributions have suggested that technology shocks have a negative short-run effect on labor input, contrary to the predictions of standard flexible-price models of the business cycle. Some authors have interpreted this finding as evidence in favor of stickyprice models, while others have either augmented flexible-price models in a number of ways or disputed the empirical finding itself. In this paper we estimate a number of alternative measures of TFP growth for a representative sample of Italian manufacturing firms and find a negative impact of productivity shocks on labor input. Furthermore, by relying on the firmlevel reported frequency of price reviews, we find that the contractionary effect is strong for firms with stickier prices, but it is weaker or not significant for firms with more flexible prices, consistently with the prediction of sticky-price models.

Suggested Citation

  • Domenico J. Marchetti & Francesco Nucci, 2004. "Pricing behavior and the comovement of productivity and labor: evidence from firm-level data," Temi di discussione (Economic working papers) 524, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_524_04
    as

    Download full text from publisher

    File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/2004/2004-0524/tema_524.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
    2. Claudio Michelacci & David Lopez-Salido, 2007. "Technology Shocks and Job Flows," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1195-1227.
    3. Claudio Michelacci & David Lopez-Salido, 2007. "Technology Shocks and Job Flows," Review of Economic Studies, Oxford University Press, vol. 74(4), pages 1195-1227.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eugenio Gaiotti & Alessandro Secchi, 2004. "Is there a cost channel of monetary policy transmission? An investigation into the pricing behaviour of 2,000 firms," Temi di discussione (Economic working papers) 525, Bank of Italy, Economic Research and International Relations Area.
    2. Francesco Daveri & Cecilia Jona-Lasinio, 2005. "Italy's Decline: Getting the Facts Right," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 64(4), pages 365-410, December.
    3. Annalisa Cristini & Dario Pozzoli, 2010. "Workplace practices and firm performance in manufacturing," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(7), pages 818-842, October.
    4. Gaiotti, Eugenio, 2013. "Credit availability and investment: Lessons from the “great recession”," European Economic Review, Elsevier, vol. 59(C), pages 212-227.
    5. Fabiani, Silvia & Gattulli, Angela & Sabbatini, Roberto, 2004. "The pricing behaviour of Italian firms: new survey evidence on price stickiness," Working Paper Series 333, European Central Bank.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Régis Barnichon, 2007. "Productivity, Aggregate Demand and Unemployment Fluctuations," CEP Discussion Papers dp0819, Centre for Economic Performance, LSE.
    2. Alejandro Justiniano & Claudio Michelacci, 2011. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the US and Europe," NBER Working Papers 17429, National Bureau of Economic Research, Inc.
    3. Borys, Paweł & Doligalski, Paweł & Kopiec, Paweł, 2021. "The quantitative importance of technology and demand shocks for unemployment fluctuations in a shopping economy," Economic Modelling, Elsevier, vol. 101(C).
    4. Canova, Fabio & Michelacci, Claudio & López-Salido, J David, 2007. "The Labour Market Effects of Technology Shocks," CEPR Discussion Papers 6365, C.E.P.R. Discussion Papers.
    5. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2009. "The ins and outs of unemployment: An analysis conditional on technology shocks," Economics Working Papers 1213, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2012.
    6. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2006. "Schumpeterian technology shocks," Economics Working Papers 1012, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2007.
    7. Barnichon, Regis, 2010. "Productivity and unemployment over the business cycle," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1013-1025, November.
    8. Repullo, Rafael & Elizalde, Abel, 2004. "Economic and Regulatory Capital: What is the Difference?," CEPR Discussion Papers 4770, C.E.P.R. Discussion Papers.
    9. R. Anton Braun & Yuichiro Waki, 2006. "Monetary Policy During Japan'S Lost Decade," The Japanese Economic Review, Japanese Economic Association, vol. 57(2), pages 324-344, June.
    10. Shigeru Fujita, 2011. "Dynamics of worker flows and vacancies: evidence from the sign restriction approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 89-121, January/F.
    11. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non-stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    12. Tommy Sveen & Lutz Weinke, 2009. "Firm-Specific Capital and Welfare," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 147-179, June.
    13. van Roye, Björn & Wesselbaum, Dennis, 2009. "Capital, endogenous separations, and the business cycle," Kiel Working Papers 1561, Kiel Institute for the World Economy (IfW Kiel).
    14. Horst Feldmann, 2013. "Technological unemployment in industrial countries," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1099-1126, November.
    15. Robert Shimer, 2009. "Convergence in Macroeconomics: The Labor Wedge," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 280-297, January.
    16. Galí, Jordi, 2010. "Monetary Policy and Unemployment," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 10, pages 487-546, Elsevier.
    17. Martial Dupaigne & Patrick Feve & Julien Matheron, 2007. "Technology Shocks, Non-stationary Hours and DSVAR," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 238-255, April.
    18. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    19. Jordi Galí & Mark Gertler, 2007. "Macroeconomic Modeling for Monetary Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 21(4), pages 25-46, Fall.
    20. Régis Barnichon, 2009. "The Shimer puzzle and the identification of productivity shocks," Finance and Economics Discussion Series 2009-04, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    Productivity shocks; Labor input; price stickiness;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:wptemi:td_524_04. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.