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Paulson, Nicholas D. Yan, Yan 2015-09-25T20:55:47Z 2015-09-25T20:55:47Z 10000-01-01 2009 2009 Finally, the results illustrate that the methods used in the study can be also applied to agricultural lending using available farm records, which provides a solution to the two major issues in risk assessment for agricultural lending, i.e. lack of long-time loss data and limited information of macroeconomic factors on changes of farm assets. Made available in DSpace on 2015-09-25T20:55:47Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3395549.pdf: 952904 bytes, checksum: b62abe76e04dfc22de59294c9236be7b (MD5) Previous issue date: 2009 Embargo set by: Seth Robbins for item 84291 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 78 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. http://hdl.handle.net/2142/83010 (MiAaPQ)AAI3395549 eng Business Administration, Banking Empirical Analysis of Farm Credit Risk Under the Structure Model text Agricultural and Consumer Economics Agricultural and Consumer Economics University of Illinois at Urbana-Champaign Dissertation Ph.D.