IDEAS home Printed from https://ideas.repec.org/p/bis/biswps/1056.html
   My bibliography  Save this paper

Understanding the Food Component of Inflation

Author

Listed:
  • Emanuel Kohlscheen

Abstract

This article presents evidence based on a panel of 35 countries over the past 30 years that the Phillips curve relation holds for food inflation. That is, broader economic overheating does push up the food component of the CPI in a systematic way. Further, general inflation expectations from professional forecasters clearly impact food price inflation. The analysis also quantifies the extent to which higher food production and imports, or lower food exports, reduce food inflation. Importantly, the link between domestic and global food prices is typically weak, with pass throughs within a year ranging from 0.07 to 0.16, after exchange rate variations are taken into account.

Suggested Citation

  • Emanuel Kohlscheen, 2022. "Understanding the Food Component of Inflation," BIS Working Papers 1056, Bank for International Settlements.
    • Handle: RePEc:bis:biswps:1056
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/work1056.pdf
    File Function: Full PDF document
    Download Restriction: no
    File URL: https://www.bis.org/publ/work1056.htm
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gianluigi Ferrucci & Rebeca Jiménez-Rodríguez & Luca Onorantea, 2012. "Food Price Pass-Through in the Euro Area: Non-Linearities and the Role of the Common Agricultural Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 8(1), pages 179-218, March.
    2. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    3. Davide Furceri & Prakash Loungani & John Simon & Susan M. Wachter, 2016. "Global food prices and domestic inflation: some cross-country evidence," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 665-687.
    4. Baek, Jungho & Koo, Won W., 2014. "On the upsurge of U.S. food prices revisited," Economic Modelling, Elsevier, vol. 42(C), pages 272-276.
    5. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    6. Durevall, Dick & Loening, Josef L. & Ayalew Birru, Yohannes, 2013. "Inflation dynamics and food prices in Ethiopia," Journal of Development Economics, Elsevier, vol. 104(C), pages 89-106.
    7. Rabah Arezki & Karim El Aynaoui & Yaw Nyarko & Francis Teal, 2016. "Food price volatility and its consequences: introduction," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 655-664.
    8. repec:oup:ecpoli:v:29:y:2014:i:80:p:691-747 is not listed on IDEAS
    9. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    10. James H. Stock & Mark W. Watson, 2019. "Slack and Cyclically Sensitive Inflation," NBER Working Papers 25987, National Bureau of Economic Research, Inc.
    11. Jonathon Hazell & Juan Herreño & Emi Nakamura & Jón Steinsson, 2022. "The Slope of the Phillips Curve: Evidence from U.S. States," The Quarterly Journal of Economics, Oxford University Press, vol. 137(3), pages 1299-1344.
    12. Christiane Baumeister & Lutz Kilian, 2014. "Do oil price increases cause higher food prices? [Biofuels, binding constraints, and agricultural commodity price volatility]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(80), pages 691-747.
    13. Stephen G Cecchetti & Richhild Moessner, 2008. "Commodity prices and inflation dynamics," BIS Quarterly Review, Bank for International Settlements, December.
    14. Mikkel Plagborg‐Møller & Christian K. Wolf, 2021. "Local Projections and VARs Estimate the Same Impulse Responses," Econometrica, Econometric Society, vol. 89(2), pages 955-980, March.
    15. John Baffes & Xiaoli L. Etienne, 2016. "Analysing food price trends in the context of Engel’s Law and the Prebisch-Singer hypothesis," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 688-713.
    16. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    17. Avalos, Fernando, 2014. "Do oil prices drive food prices? The tale of a structural break," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 253-271.
    18. José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
    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. Xiangjun Wu & Juan Xu, 2021. "Drivers of food price in China: A heterogeneous panel SVAR approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 67-79, January.
    2. Alain N. Kabundi & Mr. Montfort Mlachila & Jiaxiong Yao, 2022. "How Persistent are Climate-Related Price Shocks? Implications for Monetary Policy," IMF Working Papers 2022/207, International Monetary Fund.
    3. Fabrício J. Missio & Frederico G. Jayme Jr. & Gustavo Britto & José Luis Oreiro, 2015. "Real Exchange Rate and Economic Growth: New Empirical Evidence," Metroeconomica, Wiley Blackwell, vol. 66(4), pages 686-714, November.
    4. Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2021. "The interplay between oil and food commodity prices: Has it changed over time?," Journal of International Economics, Elsevier, vol. 133(C).
    5. Fernando Avalos & Marco Jacopo Lombardi, 2015. "The biofuel connection: impact of US regulation on oil and food prices," BIS Working Papers 487, Bank for International Settlements.
    6. Auer, Benjamin R. & Rottmann, Horst, 2019. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Journal of Economics and Business, Elsevier, vol. 103(C), pages 61-79.
    7. Maciej Stefański, 2022. "GDP effects of pandemics: a historical perspective," Empirical Economics, Springer, vol. 63(6), pages 2949-2995, December.
    8. Jing Lian Suah, 2024. "The "plucking" model of the unemployment rate floor: Corss-country estimates and empirics," BIS Working Papers 1159, Bank for International Settlements.
    9. Cao, Yan & Cheng, Sheng, 2021. "Impact of COVID-19 outbreak on multi-scale asymmetric spillovers between food and oil prices," Resources Policy, Elsevier, vol. 74(C).
    10. Loipersberger, Florian & Matschke, Johannes, 2022. "Financial cycles and domestic policy choices," European Economic Review, Elsevier, vol. 143(C).
    11. Misati, Roseline Nyakerario & Munene, Olive, 2015. "Second Round Effects And Pass-Through Of Food Prices To Inflation In Kenya," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(3), pages 1-13, July.
    12. Erten Bilge & Tuzcuoglu Kerem, 2018. "Output Effects of Global Food Commodity Shocks," Journal of Globalization and Development, De Gruyter, vol. 9(1), pages 1-18, June.
    13. Chen, Hongrui, 2023. "Energy innovations, natural resource abundance, urbanization, and environmental sustainability in the post-covid era. Does environmental regulation matter?," Resources Policy, Elsevier, vol. 85(PB).
    14. Abbas, Syed Kanwar & Lan, Hao, 2020. "Commodity price pass-through and inflation regimes," Energy Economics, Elsevier, vol. 92(C).
    15. Mokni, Khaled & Ben-Salha, Ousama, 2020. "Asymmetric causality in quantiles analysis of the oil-food ‏ ‏nexus since the 1960s," Resources Policy, Elsevier, vol. 69(C).
    16. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    17. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    18. Aboura, Sofiane & Chevallier, Julien, 2016. "Spikes and crashes in the oil market," Research in International Business and Finance, Elsevier, vol. 36(C), pages 615-623.
    19. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    20. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.

    More about this item

    Keywords

    crop; expectations; energy; food export; food prices; food import; food production; forecast; inflation; output gap; Phillips curve;
    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
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General

    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:bis:biswps:1056. 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: Christian Beslmeisl (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.