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Selection and Monetary Non-Neutrality in Time-Dependent Pricing Models

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  • Felipe Schwartzman

    (FRB - Richmond)

  • Carlos Carvalho

    (Pontificia Universidade Catolica do Rio de Janeiro (PUC-Rio))

Abstract

Given the frequency of price changes, the real effect of a monetary shock is smaller if adjusting firms are the ones with older and, hence, more misaligned prices. 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 price durations associated with impact of monetary shocks: 1) Adjusting prices are older and real effects are smaller if the hazard function is more strongly increasing. 2) Adjusting prices are younger and real effects are larger if there is heterogeneity in price setting. 3) Adjusting prices are older and real effects are smaller if the durations of price spells is less variable. 4) The real effect of a shock to the growth rate of nominal income increases in the skewness of price spells. 5) Quantitative exercises show that it is enough to match the first two moments of the distribution of durations to get accurate real effects of monetary shocks. 6) The results in this paper generalize to the "sticky-information" setting proposed by Mankiw and Reis (2002).

Suggested Citation

  • Felipe Schwartzman & Carlos Carvalho, 2012. "Selection and Monetary Non-Neutrality in Time-Dependent Pricing Models," 2012 Meeting Papers 987, Society for Economic Dynamics.
  • Handle: RePEc:red:sed012:987
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    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. 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.
    3. 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.
    4. Matthias Meier & Timo Reinelt, 2020. "Monetary Policy,Markup Dispersion, and Aggregate TFP," CRC TR 224 Discussion Paper Series crctr224_2020_161, University of Bonn and University of Mannheim, Germany.
    5. Fernando E. Alvarez & Francesco Lippi & Luigi Paciello, 2016. "Monetary Shocks in Models with Inattentive Producers," Review of Economic Studies, Oxford University Press, vol. 83(2), pages 421-459.
    6. Carvalho, Carlos & Nechio, Fernanda, 2018. "Approximating multisector New Keynesian models," Economics Letters, Elsevier, vol. 163(C), pages 193-196.
    7. 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.
    8. 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.
    9. 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.
    10. Isaac Baley & Andrés Blanco, 2021. "Aggregate Dynamics in Lumpy Economies," Econometrica, Econometric Society, vol. 89(3), pages 1235-1264, May.
    11. 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.
    12. Engin Kara, 2015. "The Selection Effect and the Inflation-Output Variability Trade-off," CESifo Working Paper Series 5664, CESifo.
    13. Isaac Baley & Andrés Blanco, 2016. "Menu Costs, Uncertainty Cycles, and the Propagation of Nominal Shocks," Working Papers 918, Barcelona School of Economics.
    14. Kara, Engin, 2015. "The reset inflation puzzle and the heterogeneity in price stickiness," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 29-37.
    15. 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.
    16. 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.
    17. Carvalho, Carlos & Kryvtsov, Oleksiy, 2021. "Price selection," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 56-75.
    18. Carvalho, Carlos Viana de, 2017. "Heterogeneous Sticky-Information Economies," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(2), November.
    19. 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.

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