2026-09-20T13:37:01Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/16920 2023-07-10 col_2142_5131 col_2142_13851 com_2142_5130 com_2142_684 com_2142_397

Sherrick, Bruce J. Lanoue, Christopher 2010-08-20T18:01:56Z 2010-08-20T18:01:56Z 2010-08-20T18:01:56Z 2010-08 Crop insurance performance and loss rates depend directly on underlying crop yield distributions. However, there still exists much debate about how to represent the underlying crop yield distributions. Using farm-level corn and soybean yields from 1972-2008, this study examines in-sample goodness-of-fit measures of both the whole distribution and the insurance tail to compare a set of flexible parametric, semi-parametric, and non-parametric distributions in a meaningful economic context. Simulations are then conducted to investigate the out-of-sample efficiency properties of several competing distributions. The results indicate that more parameterized distributional forms fit the data better in-sample, but are generally less efficient out-of-sample - and in some cases more biased - than more parsimonious forms which also fit the data adequately, such as the Weibull. The results highlight the relative advantages of alternative distributions, in terms of the bias-efficiency tradeoff in both in- and out-of-sample frameworks. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-07-07T21:14:47Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Lanoue_Thesis.tex: 4941 bytes, checksum: e42599df827eadfc1e5f4bb14a2a88cc (MD5) Lanoue_Christopher.pdf: 964273 bytes, checksum: 6b18e46a73218207f76e245991ba4074 (MD5) Made available in DSpace on 2010-08-20T18:01:56Z (GMT). No. of bitstreams: 4 Lanoue_Christopher.pdf: 964273 bytes, checksum: 6b18e46a73218207f76e245991ba4074 (MD5) Lanoue_Thesis.tex: 4941 bytes, checksum: e42599df827eadfc1e5f4bb14a2a88cc (MD5) 1_Lanoue_Christopher.pdf: 964286 bytes, checksum: 250dab5210c20023518ae1d2c08a7f86 (MD5) license.txt: 4067 bytes, checksum: 414ff26de95b58c6e65782f06158844e (MD5) http://hdl.handle.net/2142/16920 en Copyright 2010 Christopher Lanoue Yield distributions Crop Insurance Weibull Distribution Beta Distribution Mixture Distribution Burr XII Distribution Out-of-Sample Efficiency Goodness-of-Fit Insurance Rating Efficiency Evaluating yield models for crop insurance rating Agr & Consumer Economics 1470 Agr & Consumer Economics 0176 University of Illinois at Urbana-Champaign Thesis M.S. MS:Agr & Consumer Econ -UIUC 10KS0176MS