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https://hdl.handle.net/11499/46358
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yildirim, Mustafa Ozan | - |
dc.contributor.author | Ivrendi, Mehmet | - |
dc.date.accessioned | 2023-01-09T21:10:59Z | - |
dc.date.available | 2023-01-09T21:10:59Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 0973-8010 | - |
dc.identifier.issn | 0973-8029 | - |
dc.identifier.uri | https://doi.org/10.1177/0973801021990396 | - |
dc.identifier.uri | https://hdl.handle.net/11499/46358 | - |
dc.description.abstract | In this article, we investigate the underlying driving dynamics behind house price variations in Turkey by estimating a dynamic stochastic general equilibrium (DSGE) model in which the housing market and collateral constraints are included. The model also analyses the interaction between macroeconomic variables and the housing market by making policy simulations under different loan-to-value (LTV) ratios, which are used as a housing market-specific economic policy tool. The model is extended by including the traditional Taylor rule with house prices for representing monetary policy. Our findings show that house prices in Turkey are largely explained by housing preference shocks. Besides, we find that monetary policy shock plays a small role in determining the variables of the housing market in the short-term period. However, the magnitude of the impact of housing market shocks on the rest of the economy depends on the LTV ratios. The higher the LTV ratio, the higher are the effects of the government's housing policy instrument for stabilising the housing market on real macroeconomic variables such as consumption and output in Turkey. Finally, our findings show that the fluctuations in house prices have not played a substantial role in the monetary policy reaction function of Turkey. | en_US |
dc.description.sponsorship | Scientific Research Coordination Unit of Pamukkale University [2017SOBE007] | en_US |
dc.description.sponsorship | This article is extracted from Mustafa Ozan Yildirim PhD dissertation for Pamukkale University. Writing of this article has been supported by the Scientific Research Coordination Unit of Pamukkale University, Project Number 2017SOBE007. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Sage Publications India Pvt Ltd | en_US |
dc.relation.ispartof | Margin-Journal Of Applied Economic Research | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Housing market | en_US |
dc.subject | Monetary policy | en_US |
dc.subject | DSGE model | en_US |
dc.subject | Bayesian estimation | en_US |
dc.subject | Turkey | en_US |
dc.subject | Monetary-Policy | en_US |
dc.subject | Business Cycles | en_US |
dc.subject | Prices | en_US |
dc.subject | China | en_US |
dc.subject | Shocks | en_US |
dc.title | Turkish Housing Market Dynamics: An Estimated DSGE Model | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 238 | en_US |
dc.identifier.endpage | 267 | en_US |
dc.identifier.doi | 10.1177/0973801021990396 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57213886703 | - |
dc.authorscopusid | 35487536700 | - |
dc.authorwosid | Yildirim, M.Ozan/AAA-1667-2020 | - |
dc.identifier.scopus | 2-s2.0-85105532076 | en_US |
dc.identifier.wos | WOS:000648665200003 | en_US |
dc.identifier.scopusquality | Q3 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 08.03. Economics | - |
crisitem.author.dept | 08.03. Economics | - |
Appears in Collections: | İktisadi ve İdari Bilimler Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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