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Patterns of Pass-through of Commodity Price Shocks to Retail Prices

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  • Peter Berck
  • Ephraim Leibtag
  • Alex Solis
  • Sofia Villas-Boas

Abstract

Commodity prices have been rising at unprecedented rates over the last two years. The primary objective of this paper is to assess if and how firms pass through upstream cost increases to final good prices. First, we investigate what happens to the shelf prices (the regular prices) of goods that contain significant amounts of a commodity whose price has changed. The objective is to document patterns of price rigidity depending on the share of the commodity in the final good that is sold to consumers. For example, given an abnormal commodity price change in wheat, what happens to the shelf regular price of bread, wheat cereals, and other goods that contain wheat? Commodity pass-through patterns for ready to eat cereal (smallest share of commodity in final product) and fresh chicken (largest share of commodity in final good) are investigated. Second, we also assess what happens to the net prices consumers pay (that is the regular price net of discounts offered). One possible way to pass through a cost increase is to reduce the frequency of promotional discounts, or offer smaller discounts to consumers. Upstream commodity input prices used in our investigation are wheat and corn futures prices, to account for upstream inputs, and flour and chicken feed producer price sub indices for downstream cost shocks. We combine several datasets for this empirical analysis: commodity prices, commodity price indices, and scanner data on prices for a variety of goods, over a four year time period and across several stores in California, belonging to a large retail chain. We construct quantity weighted price indices within two product categories sold in the supermarket, where prices are weighted by pre-determined quantity weights to obtain shelf price indices and net price indices. For each of the commodities, regressions will be run using store-level product (UPC) weekly data. The reduced form regressions consist of projecting the shelf price index, as well as the net price index, o
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Suggested Citation

  • Peter Berck & Ephraim Leibtag & Alex Solis & Sofia Villas-Boas, 2009. "Patterns of Pass-through of Commodity Price Shocks to Retail Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1456-1461.
  • Handle: RePEc:oup:ajagec:v:91:y:2009:i:5:p:1456-1461
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2009.01364.x
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    References listed on IDEAS

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    1. Bruce L. Gardner, 1975. "The Farm-Retail Price Spread in a Competitive Food Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(3), pages 399-409.
    2. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    3. Villas-Boas, Sofia B & Perloff, Jeff & Berck, Peter & Brown, Jen, 2008. "Sales: Tests of Theories on Causality and Timing," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0076k5r6, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Berck, Peter & Brown, Jennifer & Perloff, Jeffrey M. & Villas-Boas, Sofia Berto, 2008. "Sales: Tests of theories on causality and timing," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1257-1273, November.
    5. Gicheva, Dora & Hastings, Justine & Villas-Boas, Sofia B, 2008. "Revisiting the Income Effect: Gasoline Prices and Grocery Purchases," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7087m1p6, Department of Agricultural & Resource Economics, UC Berkeley.
    6. Martin Pesendorfer, 2002. "Retail Sales: A Study of Pricing Behavior in Supermarkets," The Journal of Business, University of Chicago Press, vol. 75(1), pages 33-66, January.
    7. Dale M. Heien, 1980. "Markup Pricing in a Dynamic Model of the Food Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(1), pages 10-18.
    8. Christian Rojas & Alexandra Andino & Wayne D. Purcell, 2008. "Retailers' response to wholesale price changes: new evidence from scanner-based quantity-weighted beef prices," Agribusiness, John Wiley & Sons, Ltd., vol. 24(1), pages 1-15.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    10. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Guojun He & Jeffrey T. LaFrance & Jeffrey M. Perloff & Richard Volpe, 2024. "How do Everyday-Low-Price Supermarkets Adjust Their Prices?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(1), pages 117-146, February.
    2. Philip G. Gayle & Ying Lin, 2021. "Cost Pass‐Through In Commercial Aviation: Theory And Evidence," Economic Inquiry, Western Economic Association International, vol. 59(2), pages 803-828, April.
    3. Alexandrov, Alexei & Bedre-Defolie, Özlem, 2017. "LeChatelier–Samuelson principle in games and pass-through of shocks," Journal of Economic Theory, Elsevier, vol. 168(C), pages 44-54.
    4. Gee Hee Hong & Nicholas Li, 2017. "Market Structure and Cost Pass-Through in Retail," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 151-166, March.
    5. Tim Lloyd, 2017. "Forty Years of Price Transmission Research in the Food Industry: Insights, Challenges and Prospects," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 3-21, February.
    6. Mohamad B. Karaki & Andrios Neaimeh, 2024. "Do higher global oil and wheat prices matter for the wheat flour price in Lebanon?," Agricultural Economics, International Association of Agricultural Economists, vol. 55(4), pages 559-571, July.
    7. 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.
    8. Fabio Rumler, 2012. "The Pass-Through of Commodity Prices to Consumer Prices of Selected Products," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 92-104.
    9. Diab, Sara & Karaki, Mohamad B., 2023. "Do increases in gasoline prices cause higher food prices?," Energy Economics, Elsevier, vol. 127(PB).

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