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dc.contributor.authorHAYAT, ELVAN AKTÜRK
dc.contributor.authorHepsen, Ali
dc.contributor.authorAydin, Olgun
dc.date.accessioned2021-03-05T20:37:46Z
dc.date.available2021-03-05T20:37:46Z
dc.identifier.citationAydin O., HAYAT E. A. , Hepsen A., "Count Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicators", 17th Annual Conference on Finance and Accounting, Prague, Çek Cumhuriyeti, 27 Mayıs 2016, ss.83-91
dc.identifier.otherav_d50d387b-249c-486a-8a0f-23510505737c
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/140594
dc.identifier.urihttps://doi.org/10.1007/978-3-319-49559-0_8
dc.description.abstractIn this study, illustrating and comparing the performances of count data models such as Poisson, negative binomial (NB), Hurdle and zero-inflated models for the determination of factors affected housing sales in Dubai. Model comparisons are made via Akaike's information criterion (AIC), the Vuong test and examining the residuals. Main purpose of this study is building reliable statistical model for relationship between Dubai housing sales and important financial indicators in Dubai. With this study government, investors and customers would have an idea about housing sales transactions in future according to economic indicators.
dc.language.isoeng
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectİŞ FİNANSI
dc.subjectEkonomi ve İş
dc.subjectSosyal Bilimler (SOC)
dc.subjectÇalışma Ekonomisi ve Endüstri ilişkileri
dc.subjectÇalışma Ekonomisi
dc.titleCount Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicators
dc.typeBildiri
dc.contributor.departmentMimar Sinan Güzel Sanatlar Üniversitesi , ,
dc.contributor.firstauthorID150752


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