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

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.


Issue Date:
2015
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/205571
Page range:
1-1
Total Pages:
1
JEL Codes:
Q13




 Record created 2017-04-01, last modified 2017-08-28

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