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New Developments in Panel Data Estimation: Full-Factorial Panel Data Model

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  • Howie, Patrick J.
  • Kleczyk, Ewa J.

Abstract

Panel data has been widely used in many social science studies. Pooling data across cross-sections and time-series improves quality of data analysis; however, the model is limited in its ability to actually accurately predict variables of interest due to severe practical data limitations and the ability of properly capturing varying market structures. In this article, a simple and innovative model of product share is introduced. The Full-Factorial Panel Data Model is based on the simple premises of re-conceptualization of any zero-sum group as a series of two-entity markets. This model solves the challenges associated with pooling data across disparate cross-sections and time-periods as well as the changing competitive market structure issues and therefore results in reliable variable of interest estimates.

Suggested Citation

  • Howie, Patrick J. & Kleczyk, Ewa J., 2007. "New Developments in Panel Data Estimation: Full-Factorial Panel Data Model," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9355, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea07:9355
    DOI: 10.22004/ag.econ.9355
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    Cited by:

    1. Diana Barros, Aurora A.C. Teixeira, 2021. "The technology balance of payments and international competitiveness: a panel data analysis of southern European countries, 2000-2017," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 18(1), pages 105-136, June.

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    Research Methods/ Statistical Methods;

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