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dc.contributor.authorBetti, G.en
dc.contributor.authorKaradag, M. A.en
dc.contributor.authorSarica, O.en
dc.contributor.authorUcar, B.en
dc.date.accessioned2020-10-12T09:50:14Z-
dc.date.available2020-10-12T09:50:14Z-
dc.date.issued2017-
dc.identifier.citationRegional differences in equivalence scales in Turkey / G. Betti, M. A. Karadag, O. Sarica, B. Ucar. — DOI 10.17059/2017-1-6. — Текст : электронный // Экономика региона. — 2017. — Том 13, выпуск 1. — С. 63-69.ru
dc.identifier.issn2411-1406online
dc.identifier.issn2072-6414print
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85016175263&doi=10.17059%2f2017-1-6&partnerID=40&md5=7a04ecb06d4ade1dc36c93634896d4cam
dc.identifier.otherWOS:000401304900006wos
dc.identifier.urihttp://elar.urfu.ru/handle/10995/91703-
dc.description.abstractEquivalence scales have a crucial role in poverty measurement. For Turkey, there are no available up-todate equivalence scales, representing Turkish data. There were no efforts for calculation of equivalence scales at the regional level. The aim of the paper is to calculate and propose an equivalence scale for Turkey and estimate regional differences. Besides the models with Engel method, different equivalence scales were estimated by Almost Ideal Demand System. The results of the first model of AIDS approach composed of 5 age groups, is proposed for Turkey, but for simplicity the results of the second AIDS model could be used as well. In this model, the equivalence scale for Turkey is calculated as 0.65 for each additional adult after the first one and 0.35 for each child. For regional equivalence scales, we use two methods and comare the results. In the first one, regressions were run for each region separately and in the second one, dummy variables introduced. The highest difference in the results of the two methods was observed in Istanbul region. The findings for the regional scales are less reliable as the household size is bigger. This limitation is due to the relatively small size of the data sets. Having surveys with higher sample sizes would enable better results. After getting the results some conclusions could be drawn especially with regard to child cost differences among regions. It was expected to have higher costs for children in poorer regions and the regional results have confirmed this hypothesis. © Betti G., Karadag M. A., Sarica O., Ucar B. Text. 2017.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Economics, Ural Branch of the Russian Academy of Sciencesen
dc.publisherИнститут экономики Уральского отделения РАНru
dc.relation.ispartofЭкономика региона. 2017. Том 13, выпуск 1ru
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectALMOST IDEAL DEMAND SYSTEMen
dc.subjectCHILD COSTSen
dc.subjectENGEL CURVEen
dc.subjectEQUIVALENCE SCALESen
dc.subjectHBSen
dc.subjectNUTSen
dc.subjectPOVERTY INDICATORSen
dc.subjectPOVERTY MEASUREMENTen
dc.subjectREGIONAL DIFFERENCESen
dc.subjectREGIONAL EQUIVALENCE SCALESen
dc.subjectTURKEYen
dc.titleRegional differences in equivalence scales in Turkeyen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.17059/2017-1-6-
dc.identifier.scopus85016175263-
local.description.firstpage63-
local.description.lastpage69-
local.issue1-
local.volume13-
dc.identifier.wos000401304900006-
local.identifier.eid2-s2.0-85016175263-
Располагается в коллекциях:Economy of Regions

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