IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v54y2022i50p5782-5799.html
   My bibliography  Save this article

Urban noise, sleep disruption and health

Author

Listed:
  • Yi Fan
  • Diana M. Weinhold

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.

Suggested Citation

  • Yi Fan & Diana M. Weinhold, 2022. "Urban noise, sleep disruption and health," Applied Economics, Taylor & Francis Journals, vol. 54(50), pages 5782-5799, October.
  • Handle: RePEc:taf:applec:v:54:y:2022:i:50:p:5782-5799
    DOI: 10.1080/00036846.2022.2053054
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2022.2053054
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2022.2053054?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    2. Thomas F. Crossley & Jochem Bresser & Liam Delaney & Joachim Winter, 2017. "Can Survey Participation Alter Household Saving Behaviour?," Economic Journal, Royal Economic Society, vol. 127(606), pages 2332-2357, November.
    3. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
    4. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    5. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    6. Bernard M. S. van Praag & Barbara E. Baarsma, 2005. "Using Happiness Surveys to Value Intangibles: The Case of Airport Noise," Economic Journal, Royal Economic Society, vol. 115(500), pages 224-246, January.
    7. Calvi, Rossella & Mantovanelli, Federico G., 2018. "Long-term effects of access to health care: Medical missions in colonial India," Journal of Development Economics, Elsevier, vol. 135(C), pages 285-303.
    8. Hamermesh, Daniel S. & Pfann, Gerard A., 2022. "The variability and volatility of sleep: An ARCHetypal behavior," Economics & Human Biology, Elsevier, vol. 47(C).
    9. Braga, Breno & Blavin, Fredric & Gangopadhyaya, Anuj, 2020. "The long-term effects of childhood exposure to the earned income tax credit on health outcomes," Journal of Public Economics, Elsevier, vol. 190(C).
    10. Emily Oster, 2013. "Unobservable Selection and Coefficient Stability: Theory and Validation," NBER Working Papers 19054, National Bureau of Economic Research, Inc.
    11. Thomas F. Crossley & Jochem Bresser & Liam Delaney & Joachim Winter, 2017. "Can Survey Participation Alter Household Saving Behaviour?," Economic Journal, Royal Economic Society, vol. 127(606), pages 2332-2357, November.
    12. Kountouris, Yiannis & Remoundou, Kyriaki, 2014. "About time: Daylight Saving Time transition and individual well-being," Economics Letters, Elsevier, vol. 122(1), pages 100-103.
    13. Gibson, Matthew & Shrader, Jeffrey, 2014. "Time Use and Productivity: The Wage Returns to Sleep," University of California at San Diego, Economics Working Paper Series qt8zp518hc, Department of Economics, UC San Diego.
    14. Jos Van Ommeren & Michiel Van Leuvensteijn, 2005. "New Evidence of the Effect of Transaction Costs on Residential Mobility," Journal of Regional Science, Wiley Blackwell, vol. 45(4), pages 681-702, November.
    15. Sood Neeraj & Ghosh Arkadipta, 2007. "The Short and Long Run Effects of Daylight Saving Time on Fatal Automobile Crashes," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-22, February.
    16. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    17. Richard W. Blundell & Richard J. Smith, 1989. "Estimation in a Class of Simultaneous Equation Limited Dependent Variable Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(1), pages 37-57.
    18. Anirban Basu & Norma Coe & Cole G. Chapman, 2017. "Comparing 2SLS vs 2SRI for Binary Outcomes and Binary Exposures," NBER Working Papers 23840, National Bureau of Economic Research, Inc.
    19. Hamermesh, Daniel S. & Pfann, Gerard A., 2022. "The Variability and Volatility of Sleep: An Archetypal Approach," IZA Discussion Papers 15001, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Osea Giuntella & Wei Han & Fabrizio Mazzonna, 2017. "Circadian Rhythms, Sleep, and Cognitive Skills: Evidence From an Unsleeping Giant," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1715-1742, October.
    2. Jin, L. & Ziebarth, N.R., 2015. "Sleep and Human Capital: Evidence from Daylight Saving Time," Health, Econometrics and Data Group (HEDG) Working Papers 15/27, HEDG, c/o Department of Economics, University of York.
    3. Manuel Denzer, 2019. "Estimating Causal Effects in Binary Response Models with Binary Endogenous Explanatory Variables - A Comparison of Possible Estimators," Working Papers 1916, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    4. Daniel Kuehnle & Christoph Wunder, 2016. "Using the Life Satisfaction Approach to Value Daylight Savings Time Transitions: Evidence from Britain and Germany," Journal of Happiness Studies, Springer, vol. 17(6), pages 2293-2323, December.
    5. Joan Costa‐Font & Sarah Fleche & Ricardo Pagan, 2024. "The welfare effects of time reallocation: evidence from Daylight Saving Time," Economica, London School of Economics and Political Science, vol. 91(362), pages 547-568, April.
    6. Gary Madden & Erik Bohlin & Thien Tran & Aaron Morey, 2014. "Spectrum Licensing, Policy Instruments and Market Entry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 277-298, May.
    7. Nicholas Rivers, 2018. "Does Daylight Savings Time Save Energy? Evidence from Ontario," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(2), pages 517-543, June.
    8. Humphreys, Brad & Nyman, John & Ruseski, Jane, 2011. "The Effect of Gambling on Health: Evidence from Canada," Working Papers 2011-18, University of Alberta, Department of Economics.
    9. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.
    10. Tristan Auvray & Olivier Brossard, 2013. "French connection: interlocking directorates and the ownership-control nexus in an insider governance system," Working Papers hal-00842582, HAL.
    11. Leandro M. Magnusson, 2008. "Tests in Censored Models when the Structural Parameters Are Not Identified," Working Papers 0802, Tulane University, Department of Economics.
    12. Christian Bünnings & Valentin Schiele, 2021. "Spring Forward, Don't Fall Back: The Effect of Daylight Saving Time on Road Safety," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 165-176, March.
    13. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
    14. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.
    15. Herber, Stefanie P. & Quis, Johanna Sophie & Heineck, Guido, 2017. "Does the transition into daylight saving time affect students’ performance?," Economics of Education Review, Elsevier, vol. 61(C), pages 130-139.
    16. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    17. Leandro M. Magnusson, 2010. "Inference in limited dependent variable models robust to weak identification," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 56-79, October.
    18. Anirban Basu & Norma Coe & Cole G. Chapman, 2017. "Comparing 2SLS vs 2SRI for Binary Outcomes and Binary Exposures," NBER Working Papers 23840, National Bureau of Economic Research, Inc.
    19. Anirban Basu & Norma B. Coe & Cole G. Chapman, 2018. "2SLS versus 2SRI: Appropriate methods for rare outcomes and/or rare exposures," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 937-955, June.
    20. Guven, Cahit & Yuan, Haishan & Zhang, Quanda & Aksakalli, Vural, 2021. "When does daylight saving time save electricity? Weather and air-conditioning," Energy Economics, Elsevier, vol. 98(C).

    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • D00 - Microeconomics - - General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:54:y:2022:i:50:p:5782-5799. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.