000015147 001__ 15147
000015147 005__ 20181128171350.0
000015147 037__ $$a1379-2016-113361
000015147 037__ $$a1379-2016-113969
000015147 041__ $$aen
000015147 245__ $$aLEADING INDICATORS OF REGIONAL COTTON ACREAGE RESPONSE: STRUCTURAL AND TIME SERIES MODELING RESULTS
000015147 260__ $$c1999-12
000015147 269__ $$a1999-12
000015147 300__ $$a11
000015147 336__ $$aJournal Article
000015147 446__ $$aEnglish
000015147 520__ $$aResurgent cotton production compels better acreage forecasts for planning seed, chemical, and other input requirements.  Structural models describe leading acreage response indicators, and forecasts are compared to time-series models.  Cotton price, loan rate, deficiency payments, lagged corn acreage, the PIK program, and previous cotton yield significantly influence cotton acreage response.
000015147 650__ $$aCrop Production/Industries
000015147 6531_ $$aresurgent cotton production
000015147 6531_ $$acotton acreage
000015147 700__ $$aHouston, Jack E.
000015147 700__ $$aMcIntosh, Christopher S.
000015147 700__ $$aStavriotis, Paul A.
000015147 700__ $$aTurner, Steven C.
000015147 773__ $$dDecember 1999$$j 31$$k 3$$o517$$q507$$tJournal of Agricultural and Applied Economics
000015147 8564_ $$s857042$$uhttp://ageconsearch.umn.edu/record/15147/files/31030507.pdf
000015147 887__ $$ahttp://purl.umn.edu/15147
000015147 909CO $$ooai:ageconsearch.umn.edu:15147$$pGLOBAL_SET
000015147 912__ $$nMade available in DSpace on 2007-03-08T01:33:31Z (GMT). No. of bitstreams: 1
31030507.pdf: 857042 bytes, checksum: 6021d0f72182db6378ccf8b1a556fe85 (MD5)
  Previous issue date: 1999-12
000015147 982__ $$gJournal of Agricultural and Applied Economics>Volume 31, Number 03, December 1999
000015147 980__ $$a1379