2021
DOI: 10.1111/irel.12287
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Immigration Status Uncertainty and Mental Health—Evidence from Brexit

Abstract: The decision of the UK to leave the European Union created uncertainty for European citizens resident in the UK for the period 2016–2019. This paper studies the effects of this uncertainty on their mental health. Using data from a large household panel and a difference‐in‐differences framework, we find no evidence for a decline in mental health or life satisfaction for various definitions of EU citizens relative to multiple control groups. These findings are robust to the specific mental health measure. We cor… Show more

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Cited by 4 publications
(2 citation statements)
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“…The date of the interview is essentially random with respect to the mass layoff announcements, which means that there should be no selection bias caused by their timing within a wave (see, e.g. Powdthavee et al., 2019 or Braakmann, 2021, for a similar argument) or by a respondent being directly affected by a mass layoff. In total, we have 363,586 interviews with non‐missing data 5.…”
Section: Datamentioning
confidence: 99%
“…The date of the interview is essentially random with respect to the mass layoff announcements, which means that there should be no selection bias caused by their timing within a wave (see, e.g. Powdthavee et al., 2019 or Braakmann, 2021, for a similar argument) or by a respondent being directly affected by a mass layoff. In total, we have 363,586 interviews with non‐missing data 5.…”
Section: Datamentioning
confidence: 99%
“…Given the annual frequency of interviews in Understanding Society each of these effects is estimated using a different composition of workers. However, Understanding Society randomizes the timing of interviews, which limits the possibility of composition bias (see e.g., Powdthavee et al, 2019, or Braakmann, 2021, for similar arguments). Secondly, we conduct a formal sensitivity analysis to common trends violations recently proposed by Rambachan and Roth (2022) that uses observed deviations from common trends in the pre‐treatment period to bound the treatment effect in the face of post‐treatment common trend deviations of different magnitudes.…”
Section: Empirical Approachmentioning
confidence: 99%