000196601 001__ 196601
000196601 005__ 20170828043913.0
000196601 037__ $$a906-2016-71202
000196601 037__ $$a906-2016-71357
000196601 041__ $$aen_US
000196601 245__ $$aEstimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach
000196601 260__ $$c2013
000196601 269__ $$a2013
000196601 336__ $$aJournal Article
000196601 490__ $$a94
000196601 490__ $$a3
000196601 520__ $$aMali is among the first cotton growers in Africa. Since the early nineties, it has been reforming its cotton sector by means of different policy measures. In this paper, we estimate the supply elasticity of cotton in order to have a precise idea about how producers react to price changes and what are the potential bottlenecks. Contrary to all the previous studies which fail to consistently estimate the long run elasticity of supply, we apply the Bayesian method of moments, following Zellner’s (1978) Minimum Expected Loss Estimators (MELO) approach. A key finding is that output supply elasticity is low in the short run due to structural constraints and high in the long run.
000196601 542__ $$fLicense granted by Laure Latruffe (raestud@rennes.inra.fr) on 2015-01-06T14:35:57Z (GMT):

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000196601 650__ $$aAgricultural and Food Policy
000196601 700__ $$aTraoré, Fousseini
000196601 773__ $$dSeptember 2013$$jVolume 94$$kIssue 3$$o316$$q303$$tReview of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud)
000196601 8564_ $$s376399$$uhttp://ageconsearch.umn.edu/record/196601/files/94-3%20_2013__%20303-316.pdf
000196601 887__ $$ahttp://purl.umn.edu/196601
000196601 909CO $$ooai:ageconsearch.umn.edu:196601$$qGLOBAL_SET
000196601 912__ $$nSubmitted by Laure Latruffe (raestud@rennes.inra.fr) on 2015-01-06T14:38:45Z
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  Previous issue date: 2013
000196601 982__ $$gReview of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud)>Volume 94, Issue 3, September 2013
000196601 980__ $$a906