Ex post assessment methods of climate forecast impacts

cg.creator.identifierLiangzhi You: 0000-0001-7930-8814
cg.creator.identifierMark Rosegrant: 0000-0001-6371-6127
cg.creator.identifierSiwa Msangi: 0000-0002-5408-6909
cg.identifier.doihttps://doi.org/10.3354/cr033067
cg.identifier.projectIFPRI - Environment and Production Technology Division
cg.identifier.projectIFPRI - Director General's Office
cg.identifier.urlhttps://www.int-res.com/journals/cr/articles/cr033067
cg.isijournalISI Journal
cg.issn0936-577X
cg.issn1616-1572
cg.issue1
cg.journalClimate Research
cg.reviewStatusPeer Review
cg.volume33
dc.contributor.authorMsangi, Siwa
dc.contributor.authorRosegrant, Mark W.
dc.contributor.authorYou, Liangzhi
dc.date.accessioned2025-01-29T12:59:34Zen
dc.date.available2025-01-29T12:59:34Zen
dc.identifier.urihttps://hdl.handle.net/10568/172215
dc.titleEx post assessment methods of climate forecast impactsen
dcterms.abstractWhile a considerable body of literature has grown around the ex ante assessment of the value of climate forecast information, relatively little has been applied to ex post analyses. Using the literature that assesses the impact of agricultural research and extension as a starting point, our paper suggests advancements in survey design, data collection, econometric methodology and project evaluation that can improve ex post impact assessment of climate forecast information. We also emphasize the need to better integrate economic theory with empirical methodology, so as to account for behavioral dynamics and the presence of rigidities and fixities facing economic agents and food production systems. Through these types of advances in theoretical and empirical modeling, researchers will be better equipped to conduct ex post impact assessment and more accurately measure the value of the climate forecast information reaching the agricultural producer.
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationMsangi, Siwa; Rosegrant, Mark W.; You, Liangzhi. 2006. Ex post assessment methods of climate forecast impacts. Climate Research 33(1): 67-79. https://doi.org/10.3354/cr033067en
dcterms.extentpp. 67-79
dcterms.issued2006-12-21
dcterms.languageen
dcterms.publisherInter-Research Science Center
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/1423
dcterms.subjectclimate predictionen
dcterms.subjecteconomic valueen
dcterms.subjecteconometric modelsen
dcterms.subjectassessmenten
dcterms.typeJournal Article

Files