Cited 0 time in
Comparison of Dynamics in the Korean Housing Market Based on the FDW Model for the Periods Before and After the Macroeconomic Fluctuations
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Sanghyo | - |
| dc.contributor.author | Shin, Kyoochul | - |
| dc.contributor.author | Kim, Ju-hyung | - |
| dc.contributor.author | Kim, Jae-Jun | - |
| dc.date.accessioned | 2022-07-16T06:28:55Z | - |
| dc.date.available | 2022-07-16T06:28:55Z | - |
| dc.date.issued | 2014-01 | - |
| dc.identifier.issn | 1346-7581 | - |
| dc.identifier.issn | 1347-2852 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160932 | - |
| dc.description.abstract | There is a very close relationship between the housing market and macroeconomic fluctuations. Specifically, the dynamics between the various factors of the housing market are changed by macroeconomic fluctuations. The housing market can be divided into the rental market and the transaction market. Different price movements in each market appear before and after macroeconomic fluctuations. The purpose of this study is to compare the dynamics in the Korean housing market before and after macroeconomic fluctuations based on the FDW model. Data for this study came from the apartment market in Seoul, which is a representative housing market for Korea. The timeframe of serial data are set as; period A from January 2001 to December 2006, which preceded the financial crisis, and period B from January 2007 to July 2011, which followed it. The database of Statistics Korea (KOSTAT) was used in collecting the serial data. Empirical analysis was carried out using the selected variables based on the FDW model and the results were compared for each period and each market. A substantial number of different characteristics were identified. It is believed that these results will carry significant meaning from various perspectives, including the political and business points-of-view. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Architectural Institute of Japan | - |
| dc.title | Comparison of Dynamics in the Korean Housing Market Based on the FDW Model for the Periods Before and After the Macroeconomic Fluctuations | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.3130/jaabe.13.117 | - |
| dc.identifier.scopusid | 2-s2.0-84892598479 | - |
| dc.identifier.wosid | 000330468900016 | - |
| dc.identifier.bibliographicCitation | Journal of Asian Architecture and Building Engineering, v.13, no.1, pp 117 - 124 | - |
| dc.citation.title | Journal of Asian Architecture and Building Engineering | - |
| dc.citation.volume | 13 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 117 | - |
| dc.citation.endPage | 124 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | ahci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Architecture | - |
| dc.relation.journalResearchArea | Construction & Building Technology | - |
| dc.relation.journalWebOfScienceCategory | Architecture | - |
| dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
| dc.subject.keywordPlus | DEMAND | - |
| dc.subject.keywordPlus | SPACE | - |
| dc.subject.keywordAuthor | Macroeconomic fluctuations | - |
| dc.subject.keywordAuthor | Fisher-Dipasquale-Wheaton model | - |
| dc.subject.keywordAuthor | housing market | - |
| dc.subject.keywordAuthor | Vector Error Correction Model | - |
| dc.identifier.url | https://www.tandfonline.com/doi/abs/10.3130/jaabe.13.117 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
