Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/20381
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dc.contributor.authorDasGupta, A.
dc.contributor.authorMisra, P. N.
dc.date.accessioned2018-02-25T06:50:03Z
dc.date.available2018-02-25T06:50:03Z
dc.date.issued1984-12-01
dc.identifier.urihttp://hdl.handle.net/11718/20381
dc.description.abstractFor the measurement of elasticity, given two observation of a bivariate relationship, the arc elasticity formula has been traditionally used by economists and statisticians. However, no proper statistical justification for this procedure exists in the literature. In this paper measures of elasticity on an arc are derived using widely accepted statistical criteria such as the minimum absolute deviation criterion and the least squares criterion. It is shown that in the linear bivariate case the minimum absolute deviation elasticity is the arc elasticity. However, the formulae according to the least squares criterion and other criteria differ from arc elasticity even in the linear case. A numerical comparision of formulae is also provided and these are assessed on the basis of a 'goodness of fit' statistic development for this purpose.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesW. P.;No. 547
dc.subjectArc Elasticity Formulaen_US
dc.subjectElasticity In Economicsen_US
dc.subjectBivariate Relationshipen_US
dc.titleOn the estimation of elasticity in economicsen_US
dc.typeWorking Paperen_US
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