000162435 001__ 162435
000162435 005__ 20180122231238.0
000162435 037__ $$a1374-2016-109285
000162435 041__ $$aen_US
000162435 260__ $$c2014
000162435 269__ $$a2014
000162435 270__ $$mbqushi1@tigers.lsu.edu$$pQushim,   Berdikul
000162435 270__ $$mjgillespie@agcenter.lsu.edu$$pGillespie,   Jeffrey
000162435 270__ $$mkmcmillin@agcenter.lsu.edu$$pMcMillin,   Kenneth
000162435 300__ $$a17
000162435 336__ $$aConference Paper/ Presentation
000162435 520__ $$aThis study determines scale and technical efficiencies, productivity, other economic performance measures, and efficiency drivers for U.S. meat goat operations. We estimate an input distance function (IDF) using stochastic production frontier techniques (SPF). Empirical Monte Carlo (MC) simulation techniques are used to show the consistency of small-sample properties for the IDF.
000162435 542__ $$fLicense granted by Berdikul Qushim (bqushi1@tigers.lsu.edu) on 2014-01-16T15:26:06Z (GMT):

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000162435 650__ $$aFarm Management
000162435 650__ $$aLivestock Production/Industries
000162435 650__ $$aProduction Economics
000162435 650__ $$aProductivity Analysis
000162435 6531_ $$aMeat goat
000162435 6531_ $$aperformance measures
000162435 6531_ $$ascale efficiency
000162435 6531_ $$atechnical efficiency
000162435 6531_ $$asimulation
000162435 700__ $$aQushim, Berdikul
000162435 700__ $$aGillespie, Jeffrey
000162435 700__ $$aMcMillin, Kenneth
000162435 773__ $$d2014
000162435 8564_ $$s586380$$uhttps://ageconsearch.umn.edu/record/162435/files/SAEA_2014_Paper_Final_QushimEtAl.pdf
000162435 887__ $$ahttp://purl.umn.edu/162435
000162435 909CO $$ooai:ageconsearch.umn.edu:162435$$pGLOBAL_SET
000162435 912__ $$nSubmitted by Berdikul Qushim (bqushi1@tigers.lsu.edu) on 2014-01-16T15:38:23Z
No. of bitstreams: 1
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000162435 912__ $$nMade available in DSpace on 2014-01-16T15:38:23Z (GMT). No. of bitstreams: 1
SAEA_2014_Paper(Final).pdf: 570378 bytes, checksum: bb2516c98a267b16bbcbb8b0287a0b9c (MD5)
  Previous issue date: 2014
000162435 982__ $$gSouthern Agricultural Economics Association>2014 Annual Meeting, February 1-4, 2014, Dallas, Texas
000162435 980__ $$a1374