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Coping With Data Limitations When Measuring Oligopoly Power In A Developing Country

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Author Info
Lahcen ACHY
Azzeddine AZZAM
Khalid SEKKAT

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Abstract

Researchers’ enthusiasm for estimating industry oligopoly power in developing countries is often not matched with availability of data. Even when available, data are often incomplete, inconsistent, too aggregated, and almost always collected by government agencies for purposes different from those of the researcher. This paper demonstrates how some of the theoretical restrictions implied by firm optimizing behavior can be used to specify and make inference about market power in a conjectural elasticity model when data availability is a problem. For illustration, we specify and make inference of market power in an empirical model of 7 manufacturing industries in Morocco. The model requires observations on only two variables likely to be found in most industry statistics collected for tax purposes by governments in developing countries: Sales revenue and payroll.

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Publisher Info
Article provided by Euro-American Association of Economic Development in its journal Regional and Sectoral Economic Studies.

Volume (Year): 9 (2009)
Issue (Month): 2 ()
Pages:
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Handle: RePEc:eaa:eerese:v:9:y2009:i:9_12

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Related research
Keywords: Oligopoly power measurement; Developing countries; Morocco; Manufacturing; Sales Revenue and Payroll;

References listed on IDEAS
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  1. Appelbaum, Elie, 1982. "The estimation of the degree of oligopoly power," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 287-299, August. [Downloadable!] (restricted)
  2. Bresnahan, Timothy F., 1989. "Empirical studies of industries with market power," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 17, pages 1011-1057 Elsevier. [Downloadable!] (restricted)
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This page was last updated on 2009-12-10.


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