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Modeling Technical Change in Midwest Corn Yields, 1895-2005: A Time Varying-Regression Approach

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Author Info
Lynch, Alee L.
Holt, Matthew T.
Gray, Allan W.

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Abstract

This paper explores the use of time-varying regression models to model the effects of technical change in US Midwest Corn yields. The data extends from 1895 to 2005 encompassing the implementation of hybrid technologies and improvements in farm production practices.

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File URL: http://purl.umn.edu/9896
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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN with number 9896.

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Date of creation: 2007
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Handle: RePEc:ags:aaea07:9896

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Related research
Keywords: time-vary regression model; modeling technical change; corn yield technical change; Crop Production/Industries;

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This page was last updated on 2009-12-26.

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