IDEAS home Printed from https://ideas.repec.org/a/onb/oenbmp/y2023iq4-22-q1-23b2.html
   My bibliography  Save this article

What is the effect of energy prices on consumer prices in Austria? A production-side decomposition

Author

Abstract

We analyze the role of energy in consumer price developments in Austria using a production- side decomposition based on input-output tables. The overall share of energy in total private consumption expenditure amounted to 7.7% in 2018 and from then more than doubled to reach 17.7% in November 2022. In 2018, the share of energy was substantial in spending on housing (29%) and transport (26%), while it was almost negligible (1.0%) in spending on other consumer goods. In addition, we estimated the impact of the increase in energy wholesale prices between January 2021 and November 2022 on consumer prices. Under the assumption of a full absolute pass-through of energy prices, our input-output approach suggests a contribution of energy prices to headline inflation of 14.5 percentage points, which is considerably higher than the contribution of the HICP energy component in this period (6.2%). The remaining 8.3 percentage points can be seen as “inflation backlog,” which is due to the delayed adjustment of consumer prices for electricity, gas and district heating to wholesale energy prices. The degree to which this backlog will materialize and the adjustment path mainly depend on the future path of wholesale prices and the lag with which price changes feed through to end-user contracts and are therefore subject to considerable uncertainty. The Austrian government has implemented a cap on electricity prices (“Strompreisbremse”), which will reduce inflation by 0.9 percentage points in 2023. In 2024, the abolishment of the cap will increase inflation by 0.3 percentage points.

Suggested Citation

  • Martin Schneider, 2023. "What is the effect of energy prices on consumer prices in Austria? A production-side decomposition," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/22-Q1/, pages 33-41.
  • Handle: RePEc:onb:oenbmp:y:2023:i:q4/22-q1/23:b:2
    as

    Download full text from publisher

    File URL: https://www.oenb.at/dam/jcr:38299a99-6c7e-4eb1-b2eb-998cd35706ee/02_Mop-4-22_1-23_What-is-the-effect-of-energy-prices.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kurt Kratena & Mark Sommer & Gerhard Streicher & Simone Salotti & Juan Manuel Valderas Jaramillo, 2017. "FIDELIO 2: Overview and Theoretical Foundations of the Second Version of the Fully Interregional Dynamic Econometric Long-term Input-Output Model for the EU 27," WIFO Studies, WIFO, number 61880, April.
    2. 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.
    3. repec:oup:ecpoli:v:29:y:2014:i:80:p:691-747 is not listed on IDEAS
    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. Vincent Brémond & Emmanuel Hache & Tovonony Razafindrabe, 2016. "The Oil Price and Exchange Rate Relationship Revisited: A time-varying VAR parameter approach," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(1), pages 97-131, June.
    2. Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    3. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    4. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    5. Joseph P Byrne & Ryuta Sakemoto & Bing Xu, 2020. "Commodity price co-movement: heterogeneity and the time-varying impact of fundamentals [Oil price shocks and the stock market: evidence from Japan]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 499-528.
    6. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    7. Tiwari, Aviral Kumar & Cunado, Juncal & Hatemi-J, Abdulnasser & Gupta, Rangan, 2019. "Oil price-inflation pass-through in the United States over 1871 to 2018: A wavelet coherency analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 51-55.
    8. Pozo, Veronica F. & Bejan, Vladimir & Bachmeier, Lance, 2017. "Are Price Transmissions between U.S. Energy and Corn Markets Asymmetric?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258232, Agricultural and Applied Economics Association.
    9. Peter Mayerhofer & Julia Bachtrögler-Unger & Klaus Nowotny & Gerhard Streicher, 2021. "Ökonomische Wirkung von Interventionen der Europäischen Struktur- und Investitionsfonds in Österreich seit 1995," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(2), pages 139-150, February.
    10. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    11. Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022. "Common factors of commodity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
    12. Song, Shuang & Goh, Jenson C.L. & Tan, Hugh T.W., 2021. "Is food security an illusion for cities? A system dynamics approach to assess disturbance in the urban food supply chain during pandemics," Agricultural Systems, Elsevier, vol. 189(C).
    13. Holtemöller, Oliver & Mallick, Sushanta, 2016. "Global food prices and monetary policy in an emerging market economy: The case of India," Journal of Asian Economics, Elsevier, vol. 46(C), pages 56-70.
    14. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    15. Ren, Yinghua & Tan, Anqi & Zhu, Huiming & Zhao, Wanru, 2022. "Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    16. Roberto Pasqualino & Irene Monasterolo & Aled Jones, 2019. "An Integrated Global Food and Energy Security System Dynamics Model for Addressing Systemic Risk," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    17. Jan-Maarten de Vet & Andreas Pauer & Erik Merkus & Paul Baker & Ana Rosa Gonzalez-Martinez & Tamas Kiss-Galfalvi & Gerhard Streicher & Ana Rincon-Aznar, 2018. "Competitiveness of the European Cement and Lime Sectors," WIFO Studies, WIFO, number 61003, February.
    18. Lucotte, Yannick, 2016. "Co-movements between crude oil and food prices: A post-commodity boom perspective," Economics Letters, Elsevier, vol. 147(C), pages 142-147.
    19. Anna Burton & Oliver Fritz & Gerhard Streicher, 2023. "Die volks- und regionalwirtschaftliche Bedeutung des Thermentourismus in Österreich," WIFO Studies, WIFO, number 70853, February.
    20. Stefan Ederer & Gerhard Streicher, 2023. "Makroökonomische Effekte einer Arbeitszeitanpassung in Österreich," WIFO Studies, WIFO, number 70374, February.

    More about this item

    Keywords

    inflation pass-through; inflation backlog; input-output model;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:onb:oenbmp:y:2023:i:q4/22-q1/23:b:2. 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: Rita Glaser-Schwarz (email available below). General contact details of provider: https://edirc.repec.org/data/oenbbat.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.