ESTIMATING CORN YIELD RESPONSE MODELS TO PREDICT IMPACTS OF CLIMATE CHANGE

Projections of the impacts of climate change on agriculture require flexible and accurate yield response models. Typically, estimated yield response models have used fixed calendar intervals to measure weather variables and omitted observations on solar radiation, an essential determinant of crop yield. A corn yield response model for Illinois crop reporting districts is estimated using field data. Weather variables are time to crop growth stages to allow use of the model if climate change shifts dates of the crop growing season. Solar radiation is included. Results show this model is superior to conventionally specified models in explaining yield variation in Illinois corn.


Issue Date:
1994-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/31229
Published in:
Journal of Agricultural and Resource Economics, Volume 19, Number 1
Page range:
58-68
Total Pages:
11




 Record created 2017-04-01, last modified 2018-01-22

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