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| Tannura, Michael A.; Irwin, Scott H.; Good, Darrel L.. |
| The purpose of this study was to investigate the relationship between weather, technology, and corn and soybean yields in the U.S. Corn Belt. Corn and soybean yields, monthly temperature, and monthly precipitation observations were collected over 1960 through 2006 for Illinois, Indiana, and Iowa. Multiple regression models were developed based on specifications found in studies by Thompson (1962 1963 1969 1970 1985 1986 1988). Estimated models explained at least 94% and 89% of the variation in corn and soybean yields for each state, respectively. Analysis of the regression results showed that corn yields were particularly affected by technology, the magnitude of precipitation during June and July, and the magnitude of temperatures during July and August.... |
| Tipo: Report |
Palavras-chave: Agricultural Finance; Financial Economics; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/37501 |
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