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Stochastic Frontier Estimation of Market Power in the Food Industries

Author

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  • Rigoberto A. Lopez
  • Xi He
  • Azzeddine Azzam

Abstract

We use a modified version of the stochastic frontier model to estimate oligopoly markups above the perfectly competitive frontier, separating out deterministic markups from purely stochastic markups. Using data from 42 US food processing industries between 1990 and 2010, empirical results indicate a widespread incidence of oligopoly power, with Lerner indexes averaging approximately 21%. Further, the estimated markups increase with industrial concentration but decrease with price elasticities and imports. Finally, the estimated Lerner indexes are in the range of previous food industry estimates using New Empirical Industrial Organization (NEIO) models.

Suggested Citation

  • Rigoberto A. Lopez & Xi He & Azzeddine Azzam, 2018. "Stochastic Frontier Estimation of Market Power in the Food Industries," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(1), pages 3-17, February.
    • Handle: RePEc:bla:jageco:v:69:y:2018:i:1:p:3-17
    DOI: 10.1111/1477-9552.12219
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    Cited by:

    1. Valeria Sodano & Maria Teresa Gorgitano, 2022. "Framing Political Issues in Food System Transformative Changes," Social Sciences, MDPI, vol. 11(10), pages 1-19, October.
    2. Maximilian Koppenberg & Stefan Hirsch, 2022. "Markup estimation: A comparison of contemporary methods at the example of European food retailers," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 108-133, January.
    3. Koppenberg, Maximilian & Hirsch, Stefan, 2020. "Comparing methods for markup estimation with an application to EU food retailing," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304272, Agricultural and Applied Economics Association.
    4. Maximilian Koppenberg & Stefan Hirsch, 2022. "Output market power and firm characteristics in dairy processing: Evidence from three EU countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 490-517, June.
    5. Daniele Curzi & Maria Garrone & Alessandro Olper, 2021. "Import Competition and Firm Markups in the Food Industry," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1433-1453, August.
    6. Lopez, Rigoberto A., 2022. "The Dimensions of Productivity Change in the U.S. Food Manufacturing Industries," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316831, Agricultural and Applied Economics Association.
    7. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2020. "A Stochastic Frontier Analysis Approach for Estimating Market Power in the Major US Meat Export Markets," Journal of Industry, Competition and Trade, Springer, vol. 20(3), pages 569-586, September.
    8. Maximilian Koppenberg, 2023. "Markups, organic agriculture and downstream concentration at the example of European dairy farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 161-178, March.
    9. Mydland, Ørjan & Størdal, Ståle & Kumbhakar, Subal C. & Lien, Gudbrand, 2022. "Modeling markups and its determinants: The case of Norwegian industries and regions," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 252-262.
    10. Dimitrios Panagiotou, 2019. "Market Power Effects of the Livestock Mandatory Reporting Act in the U.S. Meat Industry: a Stochastic Frontier Approach Under Uncertainty," Journal of Industry, Competition and Trade, Springer, vol. 19(1), pages 103-122, March.
    11. Yuquan Chen & Xiaohua Yu, 2022. "Estimating market power for the Chinese fluid milk market with imported products," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 386-401, April.
    12. Paulo Roberto Scalco & Benjamin M. Tabak & Anderson Mutter Teixeira, 2019. "The Dark Side of Prudential Measures," Working papers - Textos para Discussao do Curso de Ciencias Economicas da UFG 078, Curso de Ciencias Economicas da Universidade Federal de Goias - FACE.

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