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dc.contributor.authorNaranpanawa, A
dc.contributor.authorSelvanathan, S
dc.contributor.authorBandara, J
dc.date.accessioned2017-05-03T12:23:48Z
dc.date.available2017-05-03T12:23:48Z
dc.date.issued2012
dc.date.modified2013-11-11T22:19:44Z
dc.identifier.issn0306-8293
dc.identifier.doi10.1108/03068291311283427
dc.identifier.urihttp://hdl.handle.net/10072/54161
dc.description.abstractPurpose - There has been growing interest in recent years in modelling various poverty-related issues. However, there have not been many attempts at empirical estimation of best-fit income distribution functions with an objective of subsequent use in poverty focused models. The purpose of this paper is to fill this gap by empirically estimating best-fit income distribution functions for different household income groups and computing poverty and inequality indices for Sri Lanka. Design/methodology/approach - The authors empirically estimated a number of popular distribution functions found in the income distribution literature to find the best-fit income distribution using household income and expenditure survey data for Sri Lanka and subsequently estimated various poverty and inequality measures. Findings - The results show that the income distributions of all low-income household groups follow the beta general probability distribution. The poverty measures derived using these distributions show that among the different income groups, the estate low-income group has the highest incidence of poverty, followed by the rural low-income group. Originality/value - According to the best of the authors' knowledge, empirical estimation of income distribution functions for South Asia has never been attempted. The results of this study, even though based on Sri Lankan data, will be relevant to most developing countries in South Asia and will be very useful in developing poverty alleviation strategies.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherEmerald
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom26
dc.relation.ispartofpageto50
dc.relation.ispartofissue1
dc.relation.ispartofjournalInternational Journal of Social Economics
dc.relation.ispartofvolume40
dc.rights.retentionY
dc.subject.fieldofresearchApplied economics
dc.subject.fieldofresearchEconometrics not elsewhere classified
dc.subject.fieldofresearchOther economics
dc.subject.fieldofresearchcode3801
dc.subject.fieldofresearchcode380299
dc.subject.fieldofresearchcode3899
dc.titleEmpirical income distributions: the case of Sri Lanka
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Business School, Department of Accounting, Finance and Economics
gro.date.issued2013
gro.hasfulltextNo Full Text
gro.griffith.authorSelvanathan, Saroja
gro.griffith.authorBandaralage, Jayatilleke
gro.griffith.authorNaranpanawa, Athula


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