Urban noise, sleep disruption and health

ABSTRACT

Numerous studies have linked sleep disruption to a variety of poor health outcomes, but social scientists still have a very limited understanding of the overall importance of sleep for health in the general population. Limitations on both the scope and duration of laboratory studies make it difficult to establish longer-term causal links, and potential reverse causality may significantly weaken causal inference with observational data. As a result, there is little empirical evidence on the potential causal impact of commonly encountered urban noise-induced sleep disruption on health in otherwise healthy adults. Using a survey of Dutch adults, we contribute to the effort to investigate the causal relationship between self-reported sleep disruption and health by using individual-specific exposure to neighbour noise as an instrument for sleep disruption. We argue that neighbour noise is a relatively ex-ante unobservable exogenous shock, and we provide quantitative evidence that it fulfills the relevance, exogeneity, and exclusion restrictions for validity as an instrument. Consistent with theory, we find statistically and economically significant causal effects of sleep disruption on cardiovascular problems, auto-immune diseases such as arthritis and lung disease, and headache. The results survive a battery of robustness checks and highlight the importance of noise-related public policies.

KEYWORDS:

• Sleep disruption
• health
• noise exposure
• instrumental variable estimation

JEL CLASSIFICATION:

• I10
• R23
• D00

Acknowledgement

We thank Jeongseop Song for excellent research support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed here.

Notes

1 For details, check Scherpenzeel and Das (2010) or visit www.lissdata.nl.

2 The full balance table with all control variables reported is presented in Table A1.

3 The full first-stage table with all control variables reported is presented in Table A2.

4 We also conducted additional robustness checks in sub-samples excluding individuals under 30 years old or restricting to daytime workers, with results presented in Tables A5-A6. The magnitudes and levels of statistical significance of estimates remain robust with reasonable variations.

Additional information

Funding

Yi Fan acknowledges financial support from MOE Academic Research Fund [No. R-297-000-145-115].