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Food Price Pass-Through in the Euro Area: Non-Linearities and the Role of the Common Agricultural Policy

Author

Listed:
  • Gianluigi Ferrucci

    (European Central Bank)

  • Rebeca Jiménez-Rodríguez

    (University of Salamanca)

  • Luca Onorantea

    (European Central Bank)

Abstract

In this paper we analyze the pass-through of a commodity price shock along the food price chain in the euro area. Departing from the existing literature, which focuses on food commodity prices as quoted in international markets, we use a novel database that accounts for the role of the Common Agricultural Policy in the European Union. We model several departures from the linear pass-through benchmark and compare alternative specifications with aggregate and disaggregate data. Overall, when the appropriate data set and methodology are used, it is possible to identify a significant and long-lasting pass-through. The results of our regressions are applied to the food price shock in the 2007–08 period; a decomposition exercise shows that commodity prices are the main determinant of the increase in producer and consumer prices, thus solving the puzzle highlighted in the existing literature for the euro area.

Suggested Citation

  • 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.
  • Handle: RePEc:ijc:ijcjou:y:2012:q:1:a:9
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    References listed on IDEAS

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    Cited by:

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    2. Castro, César & Jiménez-Rodríguez, Rebeca, 2017. "Oil price pass-through along the price chain in the euro area," Energy Economics, Elsevier, vol. 64(C), pages 24-30.
    3. Gert Peersman, 2018. "International Food Commodity Prices And Missing (Dis)Inflation In The Euro Area," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/947, Ghent University, Faculty of Economics and Business Administration.
    4. Bekkers, Eddy & Brockmeier, Martina & Francois, Joseph & Yang, Fan, 2017. "Local Food Prices and International Price Transmission," World Development, Elsevier, vol. 96(C), pages 216-230.
    5. Ferguson, Shon & Gars, Johan, 2016. "Productivity Shocks, International Trade and Import Prices: Evidence from Agriculture," Working Paper Series 1107, Research Institute of Industrial Economics.
    6. Akpan, S.B. & Udoka, S. J. & Inimfon, V. P., 2016. "Assessment of Rice Market Competiveness Using Horizontal Price Transmission: Empirical Evidence from Southern Region of Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(2), pages 1-16, June.
    7. Atsushi Sekine & Takayuki Tsuruga, 2018. "Effects of commodity price shocks on inflation: a cross-country analysis," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 1108-1135.
    8. Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017. "Short-term inflation forecasting: The M.E.T.A. approach," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
    9. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 183-286.
    10. Lloyd, Tim & McCorriston, Steve & Zvogu, Evious, 2015. "Common Shocks, Uncommon Effects: Food Price Inflation across the EU," 2015 Conference, August 9-14, 2015, Milan, Italy 212055, International Association of Agricultural Economists.
    11. Shon M Ferguson & Johan Gars, 2020. "Measuring the impact of agricultural production shocks on international trade flows," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 47(3), pages 1094-1132.
    12. Garcia-German, Sol & Garrido, Alberto & Bardaji, Isabel, 2014. "Evaluating Transmission Prices between Global Agricultural Markets and Consumers' Food Price Indices in the EU," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183039, European Association of Agricultural Economists.
    13. Ferguson, Shon & Gars, Johan, 2015. "Productivity Shocks, International Trade and Pass-Through: Evidence from Agriculture," 2015 Conference, August 9-14, 2015, Milan, Italy 211646, International Association of Agricultural Economists.
    14. Chouaib Jouf, 2020. "Asymmetric price transmission along the food marketing chain: A focus on the recent price war," EconomiX Working Papers 2020-1, University of Paris Nanterre, EconomiX.
    15. Sol García-Germán & Isabel Bardají & Alberto Garrido, 2016. "Evaluating price transmission between global agricultural markets and consumer food price indices in the European Union," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 59-70, January.
    16. Andrejs Bessonovs & Olegs Krasnopjorovs, 2020. "Short-Term Inflation Projections Model and Its Assessment in Latvia," Working Papers 2020/01, Latvijas Banka.
    17. Louw, M. & Meyer, F. & Kirsten, J., 2018. "Fundamental Drivers of Food Inflation - Evidence from South Africa," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277190, International Association of Agricultural Economists.
    18. Ginn, William & Pourroy, Marc, 2020. "Should a central bank react to food inflation? Evidence from an estimated model for Chile," Economic Modelling, Elsevier, vol. 90(C), pages 221-234.
    19. Lloyd, Tim & McCorriston, Steve & Morgan, Wyn & Zvogu, Evious, 2015. "Common Shocks, Uncommon Effects: Food Price Inflation across the EU," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204301, Agricultural Economics Society.
    20. 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.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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