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Unraveling Producer Price Inflation Pass-Through: Quantification, Structural Breaks, and Causal Direction

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  • Williams Corey J. M.

    (Department of Economics, 225 DHC, Shippensburg University, Shippensburg, PA 17257, United States)

Abstract
Producer price inflation has long been considered a leading indicator for consumer price inflation. However, the evidence supporting the cost-push theory of inflation over extended periods is inconclusive and lacks direct quantification. To address this gap, we employ structural break and causality tests, regression analysis, and local projection impulse-response functions. Our analysis allows us to precisely identify instances when producer prices lead consumer prices and quantify short-run and long-run pass-through rates. We find relatively robust evidence of a producer price pass-through rate between 8 and 12%. However, there are significant periods where unidirectional pass-through does not hold. Local projections reveal that producer price pass-through is small but persistent in states where producer prices lead consumer prices, and larger but shorter-lived in states where there is no causal directionality. Our findings enhance the understanding of producer price pass-through to consumer inflation, providing valuable insights for policymakers and market participants interested in accurately forecasting and managing inflationary pressures.

Suggested Citation

  • Williams Corey J. M., 2023. "Unraveling Producer Price Inflation Pass-Through: Quantification, Structural Breaks, and Causal Direction," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-16, January.
  • Handle: RePEc:bpj:econoa:v:17:y:2023:i:1:p:16:n:1
    DOI: 10.1515/econ-2022-0057
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    References listed on IDEAS

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    1. Rebeca Jiménez-Rodríguez & Amalia Morales-Zumaquero, 2022. "Commodity price pass-through along the pricing chain," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 109-125, February.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Gita Gopinath & Oleg Itskhoki & Roberto Rigobon, 2010. "Currency Choice and Exchange Rate Pass-Through," American Economic Review, American Economic Association, vol. 100(1), pages 304-336, March.
    4. Wei, Shang-Jin & Xie, Yinxi, 2020. "Monetary policy in an era of global supply chains," Journal of International Economics, Elsevier, vol. 124(C).
    5. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    6. Guglielmo Maria Caporale & Margarita Katsimi & Nikitas Pittis, 2002. "Causality Links between Consumer and Producer Prices: Some Empirical Evidence," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 703-711, January.
    7. S. Brock Blomberg & Ethan S. Harris, 1995. "The commodity-consumer price connection: fact or fable?," Economic Policy Review, Federal Reserve Bank of New York, vol. 1(Oct), pages 21-38.
    8. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    9. Yusuf V. Topuz & Hassan Yazdifar & Sunil Sahadev, 2018. "The relation between the producer and consumer price indices: a two-country study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 122-130, June.
    10. Andrew Schmitz & Haim Shalit & Stephen J. Turnovsky, 1981. "Producer Welfare and the Preference for Price Stability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 157-160.
    11. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Wohar, Mark E., 2017. "Markov-switching analysis of exchange rate pass-through: Perspective from Asian countries," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 245-257.
    12. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    13. Cochrane, John H., 1991. "A critique of the application of unit root tests," Journal of Economic Dynamics and Control, Elsevier, vol. 15(2), pages 275-284, April.
    14. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    15. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    16. Mehra, Yash P, 1991. "Wage Growth and the Inflation Process: An Empirical Note," American Economic Review, American Economic Association, vol. 81(4), pages 931-937, September.
    17. Guglielmo Maria Caporale & Margarita Katsimi & Nikitas Pittis, 2002. "Causality Links between Consumer and Producer Prices: Some Empirical Evidence," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 703-711, January.
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    More about this item

    Keywords

    pass-through; inflation; producer prices;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • D2 - Microeconomics - - Production and Organizations
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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