000157812 001__ 157812
000157812 005__ 20170827102429.0
000157812 037__ $$a324-2016-11936
000157812 041__ $$aen_US
000157812 245__ $$aExamining Contemporaneous Farm and County Losses Using Farm Level Data
000157812 260__ $$c2013-10-08
000157812 269__ $$a2013-10-08
000157812 270__ $$mzulauf.1@osu.edu$$pZulauf,   Carl R.
000157812 270__ $$mvecdidemircan@sdu.edu.tr$$pDemircan,   Vecdi
000157812 270__ $$mschnitke@illinois.edu$$pScnhitkey,   Gary
000157812 270__ $$mabarnaby@agecon.ksu.edu$$pBarnaby,   Art
000157812 270__ $$mibendahl@ksu.edu$$pIbendahl,   Gregg
000157812 270__ $$mkherbel@ksu.edu$$pHerbel,   Kevin
000157812 300__ $$a26
000157812 336__ $$aConference Paper/ Presentation
000157812 490__ $$aPaper
000157812 520__ $$aCharacteristics of farm level yield and revenue loss that is systemic with yield and revenue loss at the county, state, and U.S. level are examined using farm yields from the Illinois and Kansas farm business management associations.  The data begins with 1972.  Share of yield and revenue loss systemic with the larger geographical areas declines as the level of loss increases, implying a greater share of larger losses is idiosyncratic to an individual farm.  Farm loss systemic with the county generally is larger for Kansas than Illinois farms, which calls into question that county-based programs are less effective for plain states due to the larger size of their counties.  Last, for the small set of farms that yields for a crop for all years of the analysis, the correlation between a farm and county yield/revenue deviations had limited ability to explain the share of a farm’s loss that is systemic with a county.  This finding suggests that only by examining loss experiences for the farm and the county can the value of county risk management programs be ascertained.
000157812 542__ $$fLicense granted by Carl Zulauf (zulauf.1@osu.edu) on 2013-10-08T20:50:46Z (GMT):

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000157812 650__ $$aAgricultural and Food Policy
000157812 650__ $$aRisk and Uncertainty
000157812 6531_ $$asystemic crop risk
000157812 6531_ $$acrop insurance
000157812 6531_ $$afarm level data
000157812 700__ $$aZulauf, Carl R.
000157812 700__ $$aDemircan, Vecdi
000157812 700__ $$aScnhitkey, Gary
000157812 700__ $$aBarnaby, Glenn Arthur, Jr.
000157812 700__ $$aIbendahl, Gregg
000157812 700__ $$aHerbel, Kevin
000157812 773__ $$d2013
000157812 8564_ $$s386806$$uhttp://ageconsearch.umn.edu/record/157812/files/Systemic%20Loss%20Analysis.pdf
000157812 887__ $$ahttp://purl.umn.edu/157812
000157812 909CO $$ooai:ageconsearch.umn.edu:157812$$qGLOBAL_SET
000157812 912__ $$nSubmitted by Carl Zulauf (zulauf.1@osu.edu) on 2013-10-08T21:08:11Z
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  Previous issue date: 2013-10-08
000157812 982__ $$gAgricultural and Applied Economics Association>2013 AAEA: Crop Insurance and the Farm Bill Symposium
000157812 980__ $$a324