Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure
Moving homes has long been considered stressful, but how stressful is it? This study is an original attempt to utilise a micro-level individual dataset in the New Zealand Government’s Integrated Data Infrastructure (IDI) to reconstruct the Social Readjustment Rating Scale (SRRS) and thereby measure...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Urban Science |
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| Online Access: | https://www.mdpi.com/2413-8851/6/4/75 |
| _version_ | 1797455021036535808 |
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| author | Ka-Shing Cheung Daniel Wong |
| author_facet | Ka-Shing Cheung Daniel Wong |
| author_sort | Ka-Shing Cheung |
| collection | DOAJ |
| description | Moving homes has long been considered stressful, but how stressful is it? This study is an original attempt to utilise a micro-level individual dataset in the New Zealand Government’s Integrated Data Infrastructure (IDI) to reconstruct the Social Readjustment Rating Scale (SRRS) and thereby measure stress at a whole-of-population level. The effects of residential mobility on people’s mental well-being in the context of their stress-of-moving homes are examined. By using difference-in-differences analysis, this study scrutinises the stress level across movers, namely homeowners and renters (i.e., treatment groups) and non-movers (i.e., a control group). The results show that the change in residence increases people’s overall stress levels. Homeowners are more stressed than renters, with non-movers as the counterfactuals. Furthermore, the frequency of change in residences increases individual baseline stress levels. By progressing the understanding of such stresses, residential mobility researchers can contribute to broader discussions on how individuals’ interpersonal history and social mobility influence their experience. The whole-of-population-based SRRS will better advance our current ways of measuring mental stress at a population level, which is crucial to broader discussions of people’s well-being. |
| first_indexed | 2024-03-09T15:46:30Z |
| format | Article |
| id | doaj.art-3386a6306afa451cb8b4a899c16c0583 |
| institution | Directory Open Access Journal |
| issn | 2413-8851 |
| language | English |
| last_indexed | 2024-03-09T15:46:30Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Urban Science |
| spelling | doaj.art-3386a6306afa451cb8b4a899c16c05832023-11-24T18:30:00ZengMDPI AGUrban Science2413-88512022-10-01647510.3390/urbansci6040075Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data InfrastructureKa-Shing Cheung0Daniel Wong1Department of Property, The University of Auckland, Auckland 1010, New ZealandTamaki Regeneration Company, Auckland 1072, New ZealandMoving homes has long been considered stressful, but how stressful is it? This study is an original attempt to utilise a micro-level individual dataset in the New Zealand Government’s Integrated Data Infrastructure (IDI) to reconstruct the Social Readjustment Rating Scale (SRRS) and thereby measure stress at a whole-of-population level. The effects of residential mobility on people’s mental well-being in the context of their stress-of-moving homes are examined. By using difference-in-differences analysis, this study scrutinises the stress level across movers, namely homeowners and renters (i.e., treatment groups) and non-movers (i.e., a control group). The results show that the change in residence increases people’s overall stress levels. Homeowners are more stressed than renters, with non-movers as the counterfactuals. Furthermore, the frequency of change in residences increases individual baseline stress levels. By progressing the understanding of such stresses, residential mobility researchers can contribute to broader discussions on how individuals’ interpersonal history and social mobility influence their experience. The whole-of-population-based SRRS will better advance our current ways of measuring mental stress at a population level, which is crucial to broader discussions of people’s well-being.https://www.mdpi.com/2413-8851/6/4/75residential mobilitywell-beinghousing tenureownershiprentalstress scale |
| spellingShingle | Ka-Shing Cheung Daniel Wong Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure Urban Science residential mobility well-being housing tenure ownership rental stress scale |
| title | Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure |
| title_full | Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure |
| title_fullStr | Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure |
| title_full_unstemmed | Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure |
| title_short | Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure |
| title_sort | measuring the stress of moving homes evidence from the new zealand integrated data infrastructure |
| topic | residential mobility well-being housing tenure ownership rental stress scale |
| url | https://www.mdpi.com/2413-8851/6/4/75 |
| work_keys_str_mv | AT kashingcheung measuringthestressofmovinghomesevidencefromthenewzealandintegrateddatainfrastructure AT danielwong measuringthestressofmovinghomesevidencefromthenewzealandintegrateddatainfrastructure |