Using Threshold Estimation Technique to Measure Housing Wealth Effect in Different Income Levels
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Jinwoo | - |
dc.contributor.author | Jin, Changha | - |
dc.date.accessioned | 2021-06-22T11:02:52Z | - |
dc.date.available | 2021-06-22T11:02:52Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.issn | 2154-8919 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4674 | - |
dc.description.abstract | In this study, we estimate the housing wealth effect of households with different income levels. Since we expect the housing wealth effect to vary based on the different income levels, we use the threshold estimation technique developed in Hansen (1999) instead of imposing an exogenous criterion to divide the sample by income level. This econometric technique is developed for panels with individual-specific fixed effects. Therefore, we apply this econometric method on the findings in the existing literature to estimate the housing wealth effect, while considering the heterogeneity in different income categories. We obtain individual level data from the 2012 to 2016 Korea Household Finance and Welfare Survey (KHFWS) and find statistically significant threshold income levels, thus indicating households show different behaviors based on the threshold income. We provide the groundwork for future research to identify the target group who maximizes their wealth effect, which has housing policy implications. | - |
dc.format.extent | 23 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | GLOBAL SOCIAL SCIENCE INST | - |
dc.title | Using Threshold Estimation Technique to Measure Housing Wealth Effect in Different Income Levels | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.wosid | 000466969900003 | - |
dc.identifier.bibliographicCitation | International Real Estate Review, v.22, no.1, pp 61 - 83 | - |
dc.citation.title | International Real Estate Review | - |
dc.citation.volume | 22 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 61 | - |
dc.citation.endPage | 83 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | esci | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalWebOfScienceCategory | Economics | - |
dc.subject.keywordPlus | FINANCIAL WEALTH | - |
dc.subject.keywordPlus | PANEL-DATA | - |
dc.subject.keywordPlus | CONSUMPTION | - |
dc.subject.keywordPlus | PRICES | - |
dc.subject.keywordPlus | HYPOTHESIS | - |
dc.subject.keywordAuthor | Real Estate | - |
dc.subject.keywordAuthor | Wealth Effect | - |
dc.subject.keywordAuthor | Threshold Estimation | - |
dc.subject.keywordAuthor | Income Levels | - |
dc.identifier.url | https://eds.s.ebscohost.com/eds/detail/detail?vid=0&sid=eacdba6c-7b37-41b5-b450-638bc85092fc%40redis&bdata=Jmxhbmc9a28mc2l0ZT1lZHMtbGl2ZQ%3d%3d#AN=136395241&db=bth | - |
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