Estimating Market Power of Agricultural and Food Industries: An Issue of Data Aggregation Bias
Lee, Jungmin; Chung, Chanjin
2015

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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.

Details

Title Estimating Market Power of Agricultural and Food Industries: An Issue of Data Aggregation Bias
Keywords
Author(s) Lee, Jungmin
Chung, Chanjin
Subject(s)
Issue Date 2015
Publication Type Conference Paper/ Presentation
DOI and Other Identifiers 10.22004/ag.econ.205571
Record Identifier https://ageconsearch.umn.edu/record/205571
PURL Identifier http://purl.umn.edu/205571
Language English
Page Range 1 - 1
Total Pages 1
JEL Codes Q13
Record Appears in Agricultural and Applied Economics Association (AAEA) > Agricultural and Applied Economics Association (AAEA) Conferences > 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California

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