Determinants of homeownership in Europe – an empirical analysis based on SHARE
Purpose The purpose of this paper is to explore the determinants of homeownership in Europe. Design/methodology/approach In this study, a logit model that predicts whether an individual is a homeowner or not was estimated. Wave 6 (2015) from the Survey of Health, Ageing and Retirement in Europe was...
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Veröffentlicht in: | International journal of housing markets and analysis 2021-02, Vol.14 (1), p.14-38 |
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creator | Garcia, Maria Teresa Medeiros Figueira, Rafael |
description | Purpose
The purpose of this paper is to explore the determinants of homeownership in Europe.
Design/methodology/approach
In this study, a logit model that predicts whether an individual is a homeowner or not was estimated. Wave 6 (2015) from the Survey of Health, Ageing and Retirement in Europe was used, through a sample of 46,003 respondents across all Europe and through four subsamples (Eastern, Southern, Northern and Western Europe).
Findings
The findings reveal that several factors influence homeownership, namely, geographic location, age, gender, number of children, marital status, job situation, household income, high education, years of education, political orientation and holding bonds, stocks, mutual funds, bank accounts, saving accounts, individual retirement account or life insurance. Different results were obtained when the four subsamples were considered.
Research limitations/implications
The research findings provide an attempt to disentangle the main factors influencing homeownership. However, only individuals above 50 years of age were considered because of the database characteristics.
Practical implications
This paper provided insights to consider public policies that try to increase homeownership rates.
Social implications
The results put in evidence the likelihood characteristics of a homeowner. Therefore, public policies should address those who do not fulfill those when promoting higher homeownership rates. For example, attention should be given to low and middle-income individuals.
Originality/value
The paper emphasised the characteristics of a homeowner in Europe, contributing to the discussion on this topic among policymakers, practitioners and researchers in Europe. |
doi_str_mv | 10.1108/IJHMA-12-2019-0120 |
format | Article |
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The purpose of this paper is to explore the determinants of homeownership in Europe.
Design/methodology/approach
In this study, a logit model that predicts whether an individual is a homeowner or not was estimated. Wave 6 (2015) from the Survey of Health, Ageing and Retirement in Europe was used, through a sample of 46,003 respondents across all Europe and through four subsamples (Eastern, Southern, Northern and Western Europe).
Findings
The findings reveal that several factors influence homeownership, namely, geographic location, age, gender, number of children, marital status, job situation, household income, high education, years of education, political orientation and holding bonds, stocks, mutual funds, bank accounts, saving accounts, individual retirement account or life insurance. Different results were obtained when the four subsamples were considered.
Research limitations/implications
The research findings provide an attempt to disentangle the main factors influencing homeownership. However, only individuals above 50 years of age were considered because of the database characteristics.
Practical implications
This paper provided insights to consider public policies that try to increase homeownership rates.
Social implications
The results put in evidence the likelihood characteristics of a homeowner. Therefore, public policies should address those who do not fulfill those when promoting higher homeownership rates. For example, attention should be given to low and middle-income individuals.
Originality/value
The paper emphasised the characteristics of a homeowner in Europe, contributing to the discussion on this topic among policymakers, practitioners and researchers in Europe.</description><identifier>ISSN: 1753-8270</identifier><identifier>EISSN: 1753-8289</identifier><identifier>DOI: 10.1108/IJHMA-12-2019-0120</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>Age ; Aging ; Cost control ; Couples ; Education ; Empirical analysis ; Geographical locations ; Geography ; Home ownership ; Homeowners ; Households ; Housing ; Income ; Logit models ; Public policy ; Retirement ; Unemployment</subject><ispartof>International journal of housing markets and analysis, 2021-02, Vol.14 (1), p.14-38</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c350t-448e7260de5e39ef77de0dfeba77626e85fcf51e4e83221be2bccd38499aea2c3</citedby><cites>FETCH-LOGICAL-c350t-448e7260de5e39ef77de0dfeba77626e85fcf51e4e83221be2bccd38499aea2c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJHMA-12-2019-0120/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,966,11634,21694,27923,27924,52688,53243</link.rule.ids></links><search><creatorcontrib>Garcia, Maria Teresa Medeiros</creatorcontrib><creatorcontrib>Figueira, Rafael</creatorcontrib><title>Determinants of homeownership in Europe – an empirical analysis based on SHARE</title><title>International journal of housing markets and analysis</title><description>Purpose
The purpose of this paper is to explore the determinants of homeownership in Europe.
Design/methodology/approach
In this study, a logit model that predicts whether an individual is a homeowner or not was estimated. Wave 6 (2015) from the Survey of Health, Ageing and Retirement in Europe was used, through a sample of 46,003 respondents across all Europe and through four subsamples (Eastern, Southern, Northern and Western Europe).
Findings
The findings reveal that several factors influence homeownership, namely, geographic location, age, gender, number of children, marital status, job situation, household income, high education, years of education, political orientation and holding bonds, stocks, mutual funds, bank accounts, saving accounts, individual retirement account or life insurance. Different results were obtained when the four subsamples were considered.
Research limitations/implications
The research findings provide an attempt to disentangle the main factors influencing homeownership. However, only individuals above 50 years of age were considered because of the database characteristics.
Practical implications
This paper provided insights to consider public policies that try to increase homeownership rates.
Social implications
The results put in evidence the likelihood characteristics of a homeowner. Therefore, public policies should address those who do not fulfill those when promoting higher homeownership rates. For example, attention should be given to low and middle-income individuals.
Originality/value
The paper emphasised the characteristics of a homeowner in Europe, contributing to the discussion on this topic among policymakers, practitioners and researchers in Europe.</description><subject>Age</subject><subject>Aging</subject><subject>Cost control</subject><subject>Couples</subject><subject>Education</subject><subject>Empirical analysis</subject><subject>Geographical locations</subject><subject>Geography</subject><subject>Home ownership</subject><subject>Homeowners</subject><subject>Households</subject><subject>Housing</subject><subject>Income</subject><subject>Logit models</subject><subject>Public policy</subject><subject>Retirement</subject><subject>Unemployment</subject><issn>1753-8270</issn><issn>1753-8289</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkN9KwzAUh4MoOKcv4FXA62py0rTp5dDpJhPFP9chbU9ZRtvUpEN25zv4hj6JnRNB8Or8Dvy-w-Ej5JSzc86Zupjfzu4mEYcIGM8ixoHtkRFPpYgUqGz_N6fskByFsGIsUVLBiDxcYY--sa1p-0BdRZeuQffWog9L21Hb0unauw7p5_sHNS3FprPeFqYeFlNvgg00NwFL6lr6NJs8To_JQWXqgCc_c0xerqfPl7NocX8zv5wsokJI1kdxrDCFhJUoUWRYpWmJrKwwN2maQIJKVkUlOcaoBADPEfKiKIWKs8yggUKMydnubufd6xpDr1du7YefggYpYuAxKDm0YNcqvAvBY6U7bxvjN5ozvTWnv81pDnprTm_NDRDfQdigN3X5P_PHtvgCX3Bw5A</recordid><startdate>20210209</startdate><enddate>20210209</enddate><creator>Garcia, Maria Teresa Medeiros</creator><creator>Figueira, Rafael</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M2L</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20210209</creationdate><title>Determinants of homeownership in Europe – an empirical analysis based on SHARE</title><author>Garcia, Maria Teresa Medeiros ; Figueira, Rafael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-448e7260de5e39ef77de0dfeba77626e85fcf51e4e83221be2bccd38499aea2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Aging</topic><topic>Cost control</topic><topic>Couples</topic><topic>Education</topic><topic>Empirical analysis</topic><topic>Geographical locations</topic><topic>Geography</topic><topic>Home ownership</topic><topic>Homeowners</topic><topic>Households</topic><topic>Housing</topic><topic>Income</topic><topic>Logit models</topic><topic>Public policy</topic><topic>Retirement</topic><topic>Unemployment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Garcia, Maria Teresa Medeiros</creatorcontrib><creatorcontrib>Figueira, Rafael</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Political Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of housing markets and analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Garcia, Maria Teresa Medeiros</au><au>Figueira, Rafael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of homeownership in Europe – an empirical analysis based on SHARE</atitle><jtitle>International journal of housing markets and analysis</jtitle><date>2021-02-09</date><risdate>2021</risdate><volume>14</volume><issue>1</issue><spage>14</spage><epage>38</epage><pages>14-38</pages><issn>1753-8270</issn><eissn>1753-8289</eissn><abstract>Purpose
The purpose of this paper is to explore the determinants of homeownership in Europe.
Design/methodology/approach
In this study, a logit model that predicts whether an individual is a homeowner or not was estimated. Wave 6 (2015) from the Survey of Health, Ageing and Retirement in Europe was used, through a sample of 46,003 respondents across all Europe and through four subsamples (Eastern, Southern, Northern and Western Europe).
Findings
The findings reveal that several factors influence homeownership, namely, geographic location, age, gender, number of children, marital status, job situation, household income, high education, years of education, political orientation and holding bonds, stocks, mutual funds, bank accounts, saving accounts, individual retirement account or life insurance. Different results were obtained when the four subsamples were considered.
Research limitations/implications
The research findings provide an attempt to disentangle the main factors influencing homeownership. However, only individuals above 50 years of age were considered because of the database characteristics.
Practical implications
This paper provided insights to consider public policies that try to increase homeownership rates.
Social implications
The results put in evidence the likelihood characteristics of a homeowner. Therefore, public policies should address those who do not fulfill those when promoting higher homeownership rates. For example, attention should be given to low and middle-income individuals.
Originality/value
The paper emphasised the characteristics of a homeowner in Europe, contributing to the discussion on this topic among policymakers, practitioners and researchers in Europe.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/IJHMA-12-2019-0120</doi><tpages>25</tpages></addata></record> |
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source | Emerald Journals; Standard: Emerald eJournal Premier Collection |
subjects | Age Aging Cost control Couples Education Empirical analysis Geographical locations Geography Home ownership Homeowners Households Housing Income Logit models Public policy Retirement Unemployment |
title | Determinants of homeownership in Europe – an empirical analysis based on SHARE |
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