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The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices

Author

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  • Stephan von Cramon-Taubadel

    (Department of Agricultural Economics, University of Göttingen, Platz der Göttinger Sieben 5, D-37073 Göttingen, Germany)

  • Jens-Peter Loy

    (Department of Agricultural Economics, University of Kiel, Olshausenstraße 40, D-24118 Kiel, Germany)

  • Jochen Meyer

    (Department of Agricultural Economics, University of Göttingen, Platz der Göttinger Sieben 5, D-37073 Göttingen, Germany)

Abstract

The impact of cross-sectional aggregation over individual retail stores on the estimation and testing of vertical price transmission between the wholesale and retail levels is investigated using a unique data set of individual retail prices in Germany. Systematic differences between the results of estimations using aggregated data on the one hand, and disaggregated data on the other, are discussed theoretically and confirmed empirically. The results suggest that estimation with aggregated data can generate misleading conclusions about price transmission behavior at the level of the individual units (i.e., retail stores) that underlie these aggregates. [JEL classifications: C22, L11, D40] © 2006 Wiley Periodicals, Inc. Agribusiness 22: 505-522, 2006.

Suggested Citation

  • Stephan von Cramon-Taubadel & Jens-Peter Loy & Jochen Meyer, 2006. "The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 505-522.
    • Handle: RePEc:wly:agribz:v:22:y:2006:i:4:p:505-522
    DOI: 10.1002/agr.20100
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    7. Balaguer, Jacint & Ripollés, Jordi, 2016. "Asymmetric fuel price responses under heterogeneity," Energy Economics, Elsevier, vol. 54(C), pages 281-290.
    8. Götz, L. & von Cramon-Taubadel, S., 2008. "Asymmetric Price Transmission in the Israeli Citrus Export Sector in the Aftermath of Liberalization," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43, March.
    9. Csaba Csaki & Attila Jambor, 2019. "Convergence or divergence - Transition in agriculture of Central and Eastern Europe and Commonwealth of Independent States revisited," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(4), pages 160-174.
    10. Götz, Linde & von Cramon-Taubadel, Stephan & Kachel, Yael, 2014. "Vertical Price Transmission in the International Fresh Fruit and Vegetable Supply Chain: Israeli Grapefruit Exports to the EU after Export Liberalisation," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 53(2), pages 1-22, May.
    11. Fabio Gaetano Santeramo, 2015. "Price Transmission in the European Tomatoes and Cauliflowers Sectors," Agribusiness, John Wiley & Sons, Ltd., vol. 31(3), pages 399-413, June.
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    13. Rodolphe Buda, 2008. "Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 397-408, May.
    14. Holm, T. & Loy, J.-P. & Steinhagen, C., 2013. "Bio auch bei der Preissetzung: Konsummilch in Deutschland," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    15. Schulte Hinrich & Musshoff Oliver, 2019. "Market Structure of the Feed Industry in Germany: Causing Asymmetric Spatial Price Transmission?," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 17(1), pages 1-11, May.
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    17. A. Ford Ramsey & Barry K. Goodwin & William F. Hahn & Matthew T. Holt, 2021. "Impacts of COVID‐19 and Price Transmission in U.S. Meat Markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 441-458, May.
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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

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