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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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