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Inflation Measured Every Day Keeps Adverse Responses Away: Temporal Aggregation and Monetary Policy Transmission

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Abstract

Using daily inflation data from the Billion Prices Project [Cavallo and Rigobon (2016)], we show how temporal aggregation biases estimates of monetary policy transmission. We argue that the information mismatch between private agents and the econometrician —the source of temporal aggregation bias —is equally important as the more studied mismatch between private agents and the central bank (the “Fed information effect”). We find that the adverse response of daily inflation to high-frequency monetary policy shocks is short-lived, if present at all, in impulse responses from both local projections and an unobserved components model of inflation dynamics. To reconcile how one can obtain a sizable adverse response with monthly or quarterly data when only a limited adverse response exists at a higher frequency, we appeal to a simple monetary policy model and show how temporal aggregation bias can exacerbate initial impulse response functions. Because our modeling results are generic and macroeconomic indicators are published with a lag, we argue that temporal aggregation bias will be a key feature of the nascent field of high-frequency macroeconomics.

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  • Margaret M. Jacobson & Christian Matthes & Todd B. Walker, 2022. "Inflation Measured Every Day Keeps Adverse Responses Away: Temporal Aggregation and Monetary Policy Transmission," Finance and Economics Discussion Series 2022-054, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2022-54
    DOI: 10.17016/FEDS.2022.054
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    1. Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
    2. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
    3. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    4. François R. Velde, 2009. "Chronicle of a Deflation Unforetold," Journal of Political Economy, University of Chicago Press, vol. 117(4), pages 591-634, August.
    5. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    6. Cieslak, Anna & Schrimpf, Andreas, 2019. "Non-monetary news in central bank communication," Journal of International Economics, Elsevier, vol. 118(C), pages 293-315.
    7. Kurt G. Lunsford, 2020. "Policy Language and Information Effects in the Early Days of Federal Reserve Forward Guidance," American Economic Review, American Economic Association, vol. 110(9), pages 2899-2934, September.
    8. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    9. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    10. Harchaoui, Tarek M. & Janssen, Robert V., 2018. "How can big data enhance the timeliness of official statistics?," International Journal of Forecasting, Elsevier, vol. 34(2), pages 225-234.
    11. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
    12. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    13. Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 355-387, July.
    14. Swanson, Eric T., 2021. "Measuring the effects of federal reserve forward guidance and asset purchases on financial markets," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 32-53.
    15. Marek Jarocinski & Peter Karadi, 2017. "Central Bank Information Shocks," 2017 Meeting Papers 1193, Society for Economic Dynamics.
    16. Faust, Jon & Swanson, Eric T. & Wright, Jonathan H., 2004. "Identifying VARS based on high frequency futures data," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1107-1131, September.
    17. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    18. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    19. Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2021. "High-Frequency Data and a Weekly Economic Index during the Pandemic," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 326-330, May.
    20. Martín Uribe, 2022. "The Neo-Fisher Effect: Econometric Evidence from Empirical and Optimizing Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 133-162, July.
    21. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
    22. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
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    Cited by:

    1. Ioannou, Demosthenes & Pagliari, Maria Sole & Stracca, Livio, 2024. "The international impact of a fragile EMU," European Economic Review, Elsevier, vol. 161(C).

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    More about this item

    Keywords

    Disaggregated inflation; Billion prices project; High-frequency macroeconomics; Monetary policy transmission; Temporal aggregation bias;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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