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Seasonal asymmetries in wholesale–retail cost pass-through

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  • Thomas Bittmann
  • Sven Anders

Abstract

This article investigates the extent of seasonal asymmetries in wholesale to retail cost pass-through in the Canadian apple market. We model nonlinearity in cost pass-through in a panel two-regime error correction model. The model employs weekly store-level retail matching wholesale price data for a major US retail chain. Our results reveal distinct seasonal asymmetries in cost pass-through. Retail prices adjust faster during the fall indicating significantly higher pass-through in response to a change in input composition and seasonal expansion of alternative marketing channels. This input composition effect on cost pass-through highlights the general importance of time-variant market conditions and their respective determinants in explaining cost pass-through dynamics in commodity markets.

Suggested Citation

  • Thomas Bittmann & Sven Anders, 2016. "Seasonal asymmetries in wholesale–retail cost pass-through," Applied Economics Letters, Taylor & Francis Journals, vol. 23(15), pages 1065-1068, October.
  • Handle: RePEc:taf:apeclt:v:23:y:2016:i:15:p:1065-1068
    DOI: 10.1080/13504851.2015.1133891
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    File URL: http://hdl.handle.net/10.1080/13504851.2015.1133891
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    Cited by:

    1. Byung Min Soon & Jarrett Whistance, 2019. "Seasonal Soybean Price Transmission between the U.S. and Brazil Using the Seasonal Regime-Dependent Vector Error Correction Model," Sustainability, MDPI, Open Access Journal, vol. 11(19), pages 1-9, September.

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