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Count Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicators

Abstract

In 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.

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Authors (3)

  • Photo of dr Olgun Aydin

    Olgun Aydin dr

    • Mimar Sinan University
  • Photo of  Elvan Akturk Hayat

    Elvan Akturk Hayat

  • Photo of  Ali Hepsen

    Ali Hepsen

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Keywords

Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
New Trends in Finance and Accounting strony 83 - 91
Language:
English
Publication year:
2017
Bibliographic description:
Aydin O., Hayat E., Hepsen A.: Count Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicators// New Trends in Finance and Accounting/ : , 2017, s.83-91
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-49559-0_8
Verified by:
Gdańsk University of Technology

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