KANSAS WHEAT YIELD RISK MEASURES AND AGGREGATION: A META- ANALYSIS APPROACH

A meta-analysis approach to prediction of farm level yield risk from county level yield series is applied to Kansas wheat yields. A nonlinear relationship between county level and farm level yield risk is found, which indicates that yield risk increases at an increasing rate as the number of acres in the risk measure decreases. County level yield variability should be adjusted upward by approximately .1% for each percent difference in county acreage and average farm acreage within the county. The meta-analysis approach is shown to be promising for the prediction of farm level yield risk when farm level information is difficult to obtain.


Issue Date:
1994-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/31228
Published in:
Journal of Agricultural and Resource Economics, Volume 19, Number 1
Page range:
69-77
Total Pages:
9




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

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