Dutch tenants at risk of eviction: Identifying predictors of eviction orders.

In order to prevent evictions, it is important to gain more insight into factors predicting whether or not tenants receive an eviction order. In this study, ten potential risk factors for evictions were tested. Tenants who were at risk of eviction due to rent arrears in five Dutch cities were interv...

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Autores principales:	Marieke H Edwards, Linda van den Dries, Manfred Te Grotenhuis, Sten-Åke Stenberg, Judith R L M Wolf
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/000c8a521202435384cd0cca078412e3
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spelling	oai:doaj.org-article:000c8a521202435384cd0cca078412e32021-12-02T20:07:02ZDutch tenants at risk of eviction: Identifying predictors of eviction orders.1932-620310.1371/journal.pone.0254489https://doaj.org/article/000c8a521202435384cd0cca078412e32021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254489https://doaj.org/toc/1932-6203In order to prevent evictions, it is important to gain more insight into factors predicting whether or not tenants receive an eviction order. In this study, ten potential risk factors for evictions were tested. Tenants who were at risk of eviction due to rent arrears in five Dutch cities were interviewed using a structured questionnaire, and six months later their housing associations were asked to provide information about the tenants' current situation. Multiple logistic regression analyses with data on 344 tenants revealed that the amount of rent arrears was a strong predictor for receiving an eviction order. Furthermore, single tenants and tenants who had already been summoned to appear in court were more likely to receive an eviction order. These results can contribute to identifying households at risk of eviction at an early stage, and to develop targeted interventions to prevent evictions.Marieke H EdwardsLinda van den DriesManfred Te GrotenhuisSten-Åke StenbergJudith R L M WolfPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254489 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marieke H Edwards Linda van den Dries Manfred Te Grotenhuis Sten-Åke Stenberg Judith R L M Wolf Dutch tenants at risk of eviction: Identifying predictors of eviction orders.
description	In order to prevent evictions, it is important to gain more insight into factors predicting whether or not tenants receive an eviction order. In this study, ten potential risk factors for evictions were tested. Tenants who were at risk of eviction due to rent arrears in five Dutch cities were interviewed using a structured questionnaire, and six months later their housing associations were asked to provide information about the tenants' current situation. Multiple logistic regression analyses with data on 344 tenants revealed that the amount of rent arrears was a strong predictor for receiving an eviction order. Furthermore, single tenants and tenants who had already been summoned to appear in court were more likely to receive an eviction order. These results can contribute to identifying households at risk of eviction at an early stage, and to develop targeted interventions to prevent evictions.
format	article
author	Marieke H Edwards Linda van den Dries Manfred Te Grotenhuis Sten-Åke Stenberg Judith R L M Wolf
author_facet	Marieke H Edwards Linda van den Dries Manfred Te Grotenhuis Sten-Åke Stenberg Judith R L M Wolf
author_sort	Marieke H Edwards
title	Dutch tenants at risk of eviction: Identifying predictors of eviction orders.
title_short	Dutch tenants at risk of eviction: Identifying predictors of eviction orders.
title_full	Dutch tenants at risk of eviction: Identifying predictors of eviction orders.
title_fullStr	Dutch tenants at risk of eviction: Identifying predictors of eviction orders.
title_full_unstemmed	Dutch tenants at risk of eviction: Identifying predictors of eviction orders.
title_sort	dutch tenants at risk of eviction: identifying predictors of eviction orders.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/000c8a521202435384cd0cca078412e3
work_keys_str_mv	AT mariekehedwards dutchtenantsatriskofevictionidentifyingpredictorsofevictionorders AT lindavandendries dutchtenantsatriskofevictionidentifyingpredictorsofevictionorders AT manfredtegrotenhuis dutchtenantsatriskofevictionidentifyingpredictorsofevictionorders AT stenakestenberg dutchtenantsatriskofevictionidentifyingpredictorsofevictionorders AT judithrlmwolf dutchtenantsatriskofevictionidentifyingpredictorsofevictionorders
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Dutch tenants at risk of eviction: Identifying predictors of eviction orders.

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