IDEAS home Printed from https://ideas.repec.org/p/fip/fedrwp/12-09.html

Selection and monetary non-neutrality in time-dependent pricing models

Author

Abstract

Given the frequency of price changes, the real effects of a monetary shock are smaller if adjusting firms are disproportionately likely to be ones with prices set before the shock. This selection effect is important in a large class of sticky-price models with time-dependent price adjustment. We characterize conditions on the distribution of the duration of price spells associated with the real effects of monetary shocks, and provide a very general analytical characterization of the real effects of such shocks. We find that: 1) Selection is stronger and real effects are smaller if the hazard function of price adjustment is more strongly increasing; 2) Selection is weaker and real effects are larger if there is sectoral heterogeneity in price stickiness; 3) Selection is stronger and real effects are smaller if the durations of price spells are less variable. We also show that 4) If monetary shocks affect primarily the level of nominal aggregate demand, the mean and variance of price durations are sufficient statistics for the real effects of such shocks.

Suggested Citation

  • Carlos Carvalho & Felipe Schwartzman, 2012. "Selection and monetary non-neutrality in time-dependent pricing models," Working Paper 12-09, Federal Reserve Bank of Richmond.
    • Handle: RePEc:fip:fedrwp:12-09
    as

    Download full text from publisher

    File URL: http://www.richmondfed.org/publications/research/working_papers/2012/pdf/wp12-09.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Fernando Alvarez & Francesco Lippi & Juan Passadore, 2017. "Are State- and Time-Dependent Models Really Different?," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 379-457.
    2. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2020. "The propagation of monetary policy shocks in a heterogeneous production economy," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 1-22.
    3. Matthias Meier & Timo Reinelt, 2024. "Monetary Policy, Markup Dispersion, and Aggregate TFP," The Review of Economics and Statistics, MIT Press, vol. 106(4), pages 1012-1027, July.
    4. Hong, Gee Hee & Klepacz, Matthew & Pasten, Ernesto & Schoenle, Raphael, 2023. "The real effects of monetary shocks: Evidence from micro pricing moments," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 1-20.
    5. Fernando Alvarez & Hervé Le Bihan & Francesco Lippi, 2016. "The Real Effects of Monetary Shocks in Sticky Price Models: A Sufficient Statistic Approach," American Economic Review, American Economic Association, vol. 106(10), pages 2817-2851, October.
    6. Isaac Baley & Andrés Blanco, 2021. "Aggregate Dynamics in Lumpy Economies," Econometrica, Econometric Society, vol. 89(3), pages 1235-1264, May.
    7. Engin Kara, 2015. "The Selection Effect and the Inflation-Output Variability Trade-off," CESifo Working Paper Series 5664, CESifo.
    8. Kara, Engin, 2015. "The reset inflation puzzle and the heterogeneity in price stickiness," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 29-37.
    9. Fernando E. Alvarez & Francesco Lippi & Luigi Paciello, 2016. "Monetary Shocks in Models with Inattentive Producers," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 421-459.
    10. Isaac Baley & J. Andrés Blanco, 2016. "Menu costs, uncertainty cycles, and the propagation of nominal shocks," Economics Working Papers 1532, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Carvalho, Carlos Viana de, 2017. "Heterogeneous Sticky-Information Economies," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(2), November.
    12. Carvalho, Carlos & Nechio, Fernanda, 2018. "Approximating multisector New Keynesian models," Economics Letters, Elsevier, vol. 163(C), pages 193-196.
    13. Engin Kara & Ahmed Pirzada, 2021. "Evaluating effectiveness of price level targeting in the presence of increasing uncertainty," Bristol Economics Discussion Papers 21/737, School of Economics, University of Bristol, UK.
    14. Christian Höynck, 2025. "Production networks and the flattening of the Phillips curve," Temi di discussione (Economic working papers) 1492, Bank of Italy, Economic Research and International Relations Area.
    15. Taylor, J.B., 2016. "The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2009-2042, Elsevier.
    16. Alvarez, Fernando & Lippi, Francesco & ,, 2013. "Small and large price changes and the propagation of monetary shocks," CEPR Discussion Papers 9770, C.E.P.R. Discussion Papers.
    17. Carlos Carvalho & Niels Arne Dam & Jae Won Lee, 2020. "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 162-179, March.
    18. Peng Zhou & Huw Dixon, 2019. "The Determinants of Price Rigidity in the UK: Analysis of the CPI and PPI Microdata and Application to Macrodata Modelling," Manchester School, University of Manchester, vol. 87(5), pages 640-677, September.
    19. Hassan Afrouzi & Joel P. Flynn & Choongryul Yang, 2024. "What Can Measured Beliefs Tell Us About Monetary Non-Neutrality?," NBER Working Papers 32541, National Bureau of Economic Research, Inc.
    20. Carvalho, Carlos & Kryvtsov, Oleksiy, 2021. "Price selection," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 56-75.
    21. Fernando Alvarez & Francesco Lippi & Luigi Paciello, 2015. "Phillips curves with observation and menu costs," EIEF Working Papers Series 1508, Einaudi Institute for Economics and Finance (EIEF), revised Jul 2015.

    More about this item

    Keywords

    ;
    ;

    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:fip:fedrwp:12-09. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christian Pascasio (email available below). General contact details of provider: https://edirc.repec.org/data/frbrius.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.