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oai:www.ideals.illinois.edu:2142/29414 2023-07-10 col_2142_13851 col_2142_5131 com_2142_684 com_2142_397 com_2142_5130

Irwin, Scott H. Yang, Di 2012-02-01T00:45:05Z 2014-02-01T11:00:24Z 2011-12 2012-02-01T00:45:05Z 2011-12 This thesis studied the relationship between corn and soybean yields and weather conditions in U.S. Corn Belt area. Three statistical models were tested, including two fixed effect models and one geographically weighted regression. Due to different underlying assumptions and specifications of each model, results indicated different implications. Major findings included severe weather conditions during plant.s reproductive stage had much greater impact than vegetative stage; the favorable effect of moderate heat could not compensate the yield loss caused by extreme heat at the same magnitude; and heterogeneous crop-weather relations across crop reporting district prevented further aggregation of cropping region. As another objective of this thesis, predictive powers of each model were also studied. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-11-26T19:08:20Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Yang_Di.pdf: 4790342 bytes, checksum: ac9a7be3f0ad2558c77214631e7ef746 (MD5) Made available in DSpace on 2012-02-01T00:45:05Z (GMT). No. of bitstreams: 2 Yang_Di.pdf: 4785738 bytes, checksum: d7fdfe0530ebf72c2d60997e11461df1 (MD5) license.txt: 4056 bytes, checksum: 1a464c281a5e9fefe0fd3318cfc8409f (MD5) Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by William Ingram (wingram2@illinois.edu) on 2012-02-01T00:50:15Z Item is restricted until 2014-02-01T00:50:07Z Item reinstated by Sarah Shreeves (sshreeve@illinois.edu) on 2014-02-01T11:00:24Z Item was in collections: Dissertations - Agricultural and Consumer Economics (ID: 652) Graduate Theses and Dissertations at Illinois (ID: 204) No. of bitstreams: 3 Yang_Di.pdf.txt: 185220 bytes, checksum: e0230d6b247436305871f4446dad5314 (MD5) Yang_Di.pdf: 4785738 bytes, checksum: d7fdfe0530ebf72c2d60997e11461df1 (MD5) license.txt: 4056 bytes, checksum: 1a464c281a5e9fefe0fd3318cfc8409f (MD5) Item released from any restrictions by Sarah Shreeves (sshreeve@illinois.edu) on 2014-02-01T11:00:24Z http://hdl.handle.net/2142/29414 en Copyright 2011 Di Yang Crop Yield Weather Spatial Econometrics A spatial analysis of corn and soybean yields and weather relations Dissertation / Thesis text Agr & Consumer Economics 5273 Agricultural & Applied Econ 1470 University of Illinois at Urbana-Champaign Thesis M.S. MS: Agr & Applied Econ - UIUC 10KS5273MS