IDEAS home Printed from https://ideas.repec.org/p/hhs/rbnkwp/0426.html
   My bibliography  Save this paper

Price Pass-Through Along the Supply Chain:Evidence from PPI and CPI Microdata

Author

Listed:
  • Ahlander, Edvin

    (Research Department, Central Bank of Sweden)

  • Carlsson, Mikael

    (Uppsala University, UCLS and Sveriges Riksbank, Research Division)

  • Klein, Mathias

    (Research Department, Central Bank of Sweden)

Abstract

We examine the pass-through from producer to consumer prices, using product-group data derived from the microdata underlying the official Swedish PPI and CPI indices. We find a robust pass-through, in line with theoretical models emphasizing production inter-linkages between sectors. The results also display important heterogeneity in pricing behavior both along the supply chain, as well as across product groups. That is, upstream pricing seems much more rigid than downstream pricing in the supply chain and the pass-through across CPI products varies substantially with price-change frequencies. The recent COVID- and high-inflation periods do not change the main results.

Suggested Citation

  • Ahlander, Edvin & Carlsson, Mikael & Klein, Mathias, 2023. "Price Pass-Through Along the Supply Chain:Evidence from PPI and CPI Microdata," Working Paper Series 426, Sveriges Riksbank (Central Bank of Sweden).
  • Handle: RePEc:hhs:rbnkwp:0426
    as

    Download full text from publisher

    File URL: https://www.riksbank.se/globalassets/media/rapporter/working-papers/2023/no.-426-price-pass-through-along-the-supply-chain-evidence-from-ppi-and-cpi-microdata.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mikael Carlsson & Oskar Nordstrom Skans, 2012. "Evaluating Microfoundations for Aggregate Price Rigidities: Evidence from Matched Firm-Level Data on Product Prices and Unit Labor Cost," American Economic Review, American Economic Association, vol. 102(4), pages 1571-1595, June.
    2. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    3. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    4. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    5. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    6. Todd E. Clark, 1995. "Do producer prices lead consumer prices?," Economic Review, Federal Reserve Bank of Kansas City, vol. 80(Q III), pages 25-39.
    7. Martin Eichenbaum & Nir Jaimovich & Sergio Rebelo, 2011. "Reference Prices, Costs, and Nominal Rigidities," American Economic Review, American Economic Association, vol. 101(1), pages 234-262, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hale, Galina & Leer, John & Nechio, Fernanda, 2025. "Fiscal policy design and inflation: The COVID-19 pandemic experience," Journal of International Money and Finance, Elsevier, vol. 150(C).
    2. Sebestyén, Tamás & Szabó, Norbert & Braun, Emese & Bedő, Zsolt, 2024. "Lokális reziliencia számítása térbeli általános egyensúlyi modell felhasználásával [Measuring local resilience with a spatial computable general equilibrium model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1222-1253.
    3. David R Baqaee & Ariel Burstein, 2023. "Welfare and Output With Income Effects and Taste Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 769-834.
    4. Pellet, Thomas & Tahbaz-Salehi, Alireza, 2023. "Rigid production networks," Journal of Monetary Economics, Elsevier, vol. 137(C), pages 86-102.
    5. Ding, Wenzhi & Levine, Ross & Lin, Chen & Xie, Wensi, 2021. "Corporate immunity to the COVID-19 pandemic," Journal of Financial Economics, Elsevier, vol. 141(2), pages 802-830.
    6. Xavier Gabaix & Ralph S. J. Koijen, 2024. "Granular Instrumental Variables," Journal of Political Economy, University of Chicago Press, vol. 132(7), pages 2274-2303.
    7. Mikael Carlsson & Oskar Nordstrom Skans, 2012. "Evaluating Microfoundations for Aggregate Price Rigidities: Evidence from Matched Firm-Level Data on Product Prices and Unit Labor Cost," American Economic Review, American Economic Association, vol. 102(4), pages 1571-1595, June.
    8. Gaurav Khanna & Nicolas Morales & Nitya Pandalai-Nayar, 2022. "Supply Chain Resilience: Evidence from Indian Firms," NBER Working Papers 30689, National Bureau of Economic Research, Inc.
    9. Michele Campolieti, 2023. "An event study analysis of the effects of collective bargaining legislation on strike outcomes," LABOUR, CEIS, vol. 37(2), pages 242-279, June.
    10. Çakmaklı, Cem & Demiralp, Selva & Özcan, Şebnem Kalemli & Yeşiltaş, Sevcan & Yıldırım, Muhammed A., 2023. "COVID-19 and emerging markets: A SIR model, demand shocks and capital flows," Journal of International Economics, Elsevier, vol. 145(C).
    11. Jae Won Lee & Seunghyeon Lee, 2025. "Monetary Non-Neutrality in a Multisector Economy: The Role of Risk-Sharing," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 55, January.
    12. Kruttli, Mathias S. & Monin, Phillip J. & Watugala, Sumudu W., 2022. "The life of the counterparty: Shock propagation in hedge fund-prime broker credit networks," Journal of Financial Economics, Elsevier, vol. 146(3), pages 965-988.
    13. repec:spo:wpmain:info:hdl:2441/1dn2prktaq9p3949il1h9ds86b is not listed on IDEAS
    14. Yuichi Kichikawa & Hiroshi Iyetomi & Hideaki Aoyama & Yoshi Fujiwara & Hiroshi Yoshikawa, 2020. "Interindustry linkages of prices—Analysis of Japan’s deflation," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-26, February.
    15. Di Nino, Virginia & Veltri, Bruno, 2020. "The viral effects of foreign trade and supply networks in the euro area," Economic Bulletin Articles, European Central Bank, vol. 6.
    16. Francesco Furlanetto & Antoine Lepetit & Ørjan Robstad & Juan Rubio-Ramírez & Pål Ulvedal, 2025. "Estimating Hysteresis Effects," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(1), pages 35-70, January.
    17. Galina Hale & John Leer & Fernanda Nechio, 2022. "Inflationary Effects of Fiscal Support to Households and Firms," Working Paper Series 2023-02, Federal Reserve Bank of San Francisco.
    18. Yoshiyuki ARATA & Daisuke MIYAKAWA, 2022. "Demand Shock Propagation Through an Input-output Network in Japan," Discussion papers 22027, Research Institute of Economy, Trade and Industry (RIETI).
    19. Arata, Yoshiyuki & Miyakawa, Daisuke, 2024. "Demand shock propagation through input-output linkages in Japan," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 262-283.
    20. Tim Willems, 2017. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economic Journal, Royal Economic Society, vol. 127(604), pages 2216-2239, September.
    21. Carlsson, Mikael, 2014. "Selection Effects in Producer-Price Setting," Working Paper Series 290, Sveriges Riksbank (Central Bank of Sweden).

    More about this item

    Keywords

    Price pass-through; consumer and producer prices; microdata;
    All these keywords.

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:hhs:rbnkwp:0426. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Lena Löfgren (email available below). General contact details of provider: https://edirc.repec.org/data/rbgovse.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.