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When benefits are difficult to measure

dc.contributor.authorBirdsall, William C.en_US
dc.date.accessioned2006-04-07T19:59:51Z
dc.date.available2006-04-07T19:59:51Z
dc.date.issued1987en_US
dc.identifier.citationBirdsall, William C. (1987)."When benefits are difficult to measure." Evaluation and Program Planning 10(2): 109-118. <http://hdl.handle.net/2027.42/26882>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V7V-4691KR9-1/2/2b7e4c7548e1a22395f3d5efa4c0467aen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/26882
dc.description.abstractBenefit cost analysis is seldom applied to programs which aim directly at improving human well-being; the problems in quantifying such benefits, particularly in dollar form, are simply too great. This paper explains /ldthreshold benefit analysis," the derivation of the minimum dollar value which the benefits must attain in order for the value of the benefits to equal the cost of the intervention. As an example, the method is applied to a mobility training program. The threshold benefit of such training is approximately two dollars per commute. The empirical results include a sensitivity analysis which allows considerable flexibility on the part of potential users. The methodology is applicable to analyzing any intervention where costs are incurred early, initial "successes" can be counted in natural numbers, and duration of success can be modelled simply.en_US
dc.format.extent1308245 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleWhen benefits are difficult to measureen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelSoutheast Asian and Pacific Languages and Culturesen_US
dc.subject.hlbsecondlevelSocial Sciences (General)en_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/26882/1/0000448.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0149-7189(87)90045-0en_US
dc.identifier.sourceEvaluation and Program Planningen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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