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Volatility and Pass-through

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  • David Berger
  • Joseph S. Vavra

Abstract

What drives countercyclical volatility? A large literature has documented that many economic variables are more disperse in recessions, but this could either occur because shocks get bigger or because firms respond more to shocks which are the same size. Existing evidence that the dispersion of endogenous variables rises in recessions cannot tell us which of volatility or responsiveness is getting bigger, and these two explanations have very different policy implications. However, we document new facts in the open economy environment and show that they can be used to disentangle these explanations. In particular, we use confidential BLS micro data to show that there is a robust positive relationship between exchange rate pass-through and the dispersion of item-level price changes. We then argue that changes in responsiveness can explain this fact while volatility shocks cannot.

Suggested Citation

  • David Berger & Joseph S. Vavra, 2013. "Volatility and Pass-through," NBER Working Papers 19651, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19651
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    Citations

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    Cited by:

    1. David Berger & Ian Dew-Becker & Stefano Giglio, 2020. "Uncertainty Shocks as Second-Moment News Shocks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 40-76.
    2. Auer, Raphael A. & Schoenle, Raphael S., 2016. "Market structure and exchange rate pass-through," Journal of International Economics, Elsevier, vol. 98(C), pages 60-77.
    3. Souza, Thiago de Oliveira, 2020. "Dollar carry timing," Discussion Papers on Economics 10/2020, University of Southern Denmark, Department of Economics.
    4. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2018. "The shocks matter: Improving our estimates of exchange rate pass-through," Journal of International Economics, Elsevier, vol. 114(C), pages 255-275.
    5. Shirota, Toyoichiro, 2017. "Not All Exchange Rate Movements Are Alike : Exchange Rate Persistence and Pass-Through to Consumer Prices," Discussion paper series. A 311, Graduate School of Economics and Business Administration, Hokkaido University.
    6. Chan, Ying Tung & Dong, Yilin, 2022. "How does oil price volatility affect unemployment rates? A dynamic stochastic general equilibrium model," Economic Modelling, Elsevier, vol. 114(C).
    7. Luigi Paciello & Andrea Pozzi & Nicholas Trachter, 2019. "Price Dynamics With Customer Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(1), pages 413-446, February.
    8. Danilo Leiva-Leon & Jaime Martinez-Martin & Eva Ortega, 2022. "Exchange Rate Shocks and Inflation Co-movement in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 18(1), pages 239-275, March.
    9. Berger, David & Vavra, Joseph, 2018. "Dynamics of the U.S. price distribution," European Economic Review, Elsevier, vol. 103(C), pages 60-82.
    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. Rita Fleer & Dr. Barbara Rudolf & Mathias Zurlinden, 2016. "Price change dispersion and time-varying pass-through to consumer prices," Working Papers 2016-17, Swiss National Bank.
    12. Joseph S. Vavra, 2014. "Time-Varying Phillips Curves," NBER Working Papers 19790, National Bureau of Economic Research, Inc.
    13. Dew-Becker, Ian & Giglio, Stefano & Kelly, Bryan, 2021. "Hedging macroeconomic and financial uncertainty and volatility," Journal of Financial Economics, Elsevier, vol. 142(1), pages 23-45.
    14. Chan, Ying Tung, 2020. "Carbon policies and productivity uncertainty: An intertemporal analysis," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    15. Simon Mongey, 2017. "Market Structure and Monetary Non-Neutrality," 2017 Meeting Papers 184, Society for Economic Dynamics.
    16. Ying Tung Chan, 2019. "The Environmental Impacts and Optimal Environmental Policies of Macroeconomic Uncertainty Shocks: A Dynamic Model Approach," Sustainability, MDPI, vol. 11(18), pages 1-26, September.

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    More about this item

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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