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Tracing the dynamics of competition: Evidence from company profits

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Abstract

This paper proposes a simple approach to analyzing profit dynamics which allows for time-varying persistence of profits. The time series model is a simple autoregressive process where the dynamics of the persistence parameter follow an autoregressive or random walk process. Using the longest time series available on profits for six US firms (Archer-Daniels-Midland, Avon, Coca Cola, Johnson & Johnson, WHX Corporation and Wrigley), we analyze the dynamics of profitt persistence for the second half of the twentieth century.

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  • Jesús Crespo Cuaresma & Adelina Gschwandtner, 2005. "Tracing the dynamics of competition: Evidence from company profits," Vienna Economics Papers vie0504, University of Vienna, Department of Economics.
  • Handle: RePEc:vie:viennp:vie0504
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    Cited by:

    1. Canarella, Giorgio & Miller, Stephen M. & Nourayi, Mahmoud M., 2013. "Firm profitability: Mean-reverting or random-walk behavior?," Journal of Economics and Business, Elsevier, vol. 66(C), pages 76-97.
    2. Johan E. Eklund & Emma Lappi, 2019. "Persistence of profits in the EU: how competitive are EU member countries?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 327-351, May.
    3. Andrea Vaona, 2010. "On the gravitation and convergence of industry profit rates in Denmark, Finland, Italy and the US," Working Papers 02/2010, University of Verona, Department of Economics.
    4. José A. Gómez‐Limón & Sandra Sánchez‐Cañizares & Amalia Hidalgo‐Fernández & Ana M. Castillo‐Canalejo, 2023. "Profit and viability persistence: Evidence from the Spanish agricultural sector," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1300-1332, October.
    5. Alexander Muravyev & Oleksandr Talavera & Charlie Weir, 2016. "Performance effects of appointing other firms’ executive directors to corporate boards: an analysis of UK firms," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 25-45, January.
    6. Alexander Muravyev & Oleksandr Talavera & Charlie Weir, 2016. "Performance effects of appointing other firms’ executive directors to corporate boards: an analysis of UK firms," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 25-45, January.

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    More about this item

    JEL classification:

    • L00 - Industrial Organization - - General - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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