Predicting House Prices Using DMA Method: Evidence from Turkey

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dc.authoridHacıevliyagil, Nuri/0000-0002-2019-3327
dc.authorideksi, ibrahim halil/0000-0002-0239-3253
dc.authoridDrachal, Krzysztof/0000-0001-5297-6695
dc.authorwosidDrachal, Krzysztof/ABA-1609-2020
dc.authorwosidEkşi, İbrahim Halil/ABB-2983-2022
dc.authorwosidkaradeniz yılmaz, yasemin/JQW-8370-2023
dc.authorwosidHacıevliyagil, Nuri/ABS-2815-2022
dc.contributor.authorHacievliyagil, Nuri
dc.contributor.authorDrachal, Krzysztof
dc.contributor.authorEksi, Ibrahim Halil
dc.date.accessioned2024-08-04T20:51:46Z
dc.date.available2024-08-04T20:51:46Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe aim of this study is to analyze the dynamics of the housing market in Turkey's economy and to examine the impact of variables related to housing prices. Preferred by many international housing investors, Turkey hosts profitable real estate investments as one of the developing countries with a shining housing market. This study applies the dynamic model averaging (DMA) methodology to predict monthly house price growth. With the increasing use of information technologies, Google online searches are incorporated into the study. For this purpose, twelve independent variables, with the Residential Property Price Index as the dependent variable, were used in the period January 2010-December 2019. According to the analysis results, it was observed that some variables, such as bond yields, the level of mortgages, foreign direct investments, unemployment, industrial production, exchange rates, and Google Trends index, are determinants of the Residential Property Price Index.en_US
dc.identifier.doi10.3390/economies10030064
dc.identifier.issn2227-7099
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85126719247en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/economies10030064
dc.identifier.urihttps://hdl.handle.net/11616/100548
dc.identifier.volume10en_US
dc.identifier.wosWOS:000775533700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofEconomiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjecthousing price predictionen_US
dc.subjectRPPIen_US
dc.subjectDMAen_US
dc.subjectGoogle Trends indexen_US
dc.subjectTurkeyen_US
dc.titlePredicting House Prices Using DMA Method: Evidence from Turkeyen_US
dc.typeArticleen_US

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