Estimating Market Power of Agricultural and Food Industries: An Issue of Data Aggregation Bias

Jungmin Lee and Chanjin Chung ()

No 205571, 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association

Abstract: This paper shows that aggregation bias is generated by ignoring the parameter heterogeneity and using linearly aggregated data for nonlinear macro model with traditional NEIO approach. The aggregation bias can be minimized by imposing market share data to estimation process of conjectural elasticity.

Keywords: Agricultural and Food Policy; Industrial Organization; Marketing (search for similar items in EconPapers)
Pages: 1
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea15:205571

DOI: 10.22004/ag.econ.205571

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