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Market Delineation And Merger Simulation: A Proposed Methodology With An Application To The Argentine Biscuit Market

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  • Germán Coloma

Abstract

This paper develops a methodology for estimating demand systems, calculating critical elasticities to be used in market delineation, and simulating the unilateral effects of horizontal mergers. The whole method is based on the use of estimated long-run price elasticities, and it is essentially the same when used to define relevant markets and when to simulate mergers. The paper also includes an empirical application of the method, which relies on data from the Argentine biscuit market.

Suggested Citation

  • Germán Coloma, 2011. "Market Delineation And Merger Simulation: A Proposed Methodology With An Application To The Argentine Biscuit Market," Journal of Competition Law and Economics, Oxford University Press, vol. 7(1), pages 113-131.
    • Handle: RePEc:oup:jcomle:v:7:y:2011:i:1:p:113-131.
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    File URL: http://hdl.handle.net/10.1093/joclec/nhq022
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    Cited by:

    1. Coloma, Germán, 2023. "Demand estimation and market definition in quality-differentiated products: The case of beer in Argentina," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 48-64.
    2. Germán Coloma, 2019. "The Effect of Horizontal Mergers on Efficiency and Market Power: An Application to the Argentine Hamburger Market," CEMA Working Papers: Serie Documentos de Trabajo. 705, Universidad del CEMA.
    3. Leandro Benitez & German Coloma, 2022. "Estimación de demanda y simulación de concentraciones horizontales: el caso de Coca-Cola y AdeS en Argentina," Revista de Economía del Rosario, Universidad del Rosario, vol. 25(2), pages 1-22, December.

    More about this item

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • 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
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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