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Inicio  /  Urban Science  /  Vol: 6 Par: 4 (2022)  /  Artículo
ARTÍCULO
TITULO

Measuring the Stress of Moving Homes: Evidence from the New Zealand Integrated Data Infrastructure

Ka-Shing Cheung and Daniel Wong    

Resumen

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.

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