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Severe Air Pollution and School Absences: Longitudinal Data on Expatriates in North China

Author

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  • Liu, Haoming

    (National University of Singapore)

  • Salvo, Alberto

    (National University of Singapore)

Abstract

Little is known about how children of high-income expatriate families, often from rich nations, adapt to temporary residence in a severely polluted city of the developing world. We use a six-year panel of 6,500 students at three international schools in a major city in north China to estimate how fluctuation in ambient PM2.5 over the preceding fortnight impacts daily absences. Our preferred estimates are based on the exclusion restriction that absences respond to atmospheric ventilation such as thermal inversions only through ventilation's effect on particle levels. A large and rare 100 to 200 ?g/m3 shift in average PM2.5 in the prior week raises the incidence of absences by 1 percentage point, about one-quarter of the sample mean. We find stronger responses for US/Canada nationals than among Chinese nationals, and among students who generally miss school the most. Overall responses are mod-est compared to the effect on absences from more moderate in-sample variation in pollution estimated for the US using aggregate data. Using school absence patterns as a window into short-run health and behavior, our study suggests that high-income families find ways to adapt, likely by moving life indoors, even if temporary residence in north China comes at the expense of long-term health.

Suggested Citation

  • Liu, Haoming & Salvo, Alberto, 2017. "Severe Air Pollution and School Absences: Longitudinal Data on Expatriates in North China," IZA Discussion Papers 11134, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11134
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    1. Hanna, Rema & Oliva, Paulina, 2015. "The effect of pollution on labor supply: Evidence from a natural experiment in Mexico City," Journal of Public Economics, Elsevier, vol. 122(C), pages 68-79.
    2. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    3. Avraham Ebenstein & Victor Lavy & Sefi Roth, 2016. "The Long-Run Economic Consequences of High-Stakes Examinations: Evidence from Transitory Variation in Pollution," American Economic Journal: Applied Economics, American Economic Association, vol. 8(4), pages 36-65, October.
    4. Tom Y. Chang & Joshua Graff Zivin & Tal Gross & Matthew Neidell, 2019. "The Effect of Pollution on Worker Productivity: Evidence from Call Center Workers in China," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 151-172, January.
    5. Marie Connolly, 2008. "Here Comes the Rain Again: Weather and the Intertemporal Substitution of Leisure," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 73-100.
    6. Joshua Graff Zivin & Matthew Neidell, 2012. "The Impact of Pollution on Worker Productivity," American Economic Review, American Economic Association, vol. 102(7), pages 3652-3673, December.
    7. Jingye Shi & Mikal Skuterud, 2015. "Gone Fishing! Reported Sickness Absenteeism And The Weather," Economic Inquiry, Western Economic Association International, vol. 53(1), pages 388-405, January.
    8. Adam Isen & Maya Rossin-Slater & W. Reed Walker, 2017. "Every Breath You Take—Every Dollar You’ll Make: The Long-Term Consequences of the Clean Air Act of 1970," Journal of Political Economy, University of Chicago Press, vol. 125(3), pages 848-902.
    9. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    10. Tom Chang & Joshua Graff Zivin & Tal Gross & Matthew Neidell, 2016. "Particulate Pollution and the Productivity of Pear Packers," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 141-169, August.
    11. Aragón, Fernando M. & Miranda, Juan Jose & Oliva, Paulina, 2017. "Particulate matter and labor supply: The role of caregiving and non-linearities," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 295-309.
    12. Enrico Moretti & Matthew Neidell, 2011. "Pollution, Health, and Avoidance Behavior: Evidence from the Ports of Los Angeles," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 154-175.
    13. Olivier Deschênes & Michael Greenstone & Joseph S. Shapiro, 2017. "Defensive Investments and the Demand for Air Quality: Evidence from the NOx Budget Program," American Economic Review, American Economic Association, vol. 107(10), pages 2958-2989, October.
    14. Ghanem, Dalia & Zhang, Junjie, 2014. "‘Effortless Perfection:’ Do Chinese cities manipulate air pollution data?," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 203-225.
    15. repec:fth:prinin:455 is not listed on IDEAS
    16. Fernando M. Aragon & Juan Jose Miranda & Paulina Oliva, 2016. "Particulate matter and labor supply: evidence from Peru," Discussion Papers dp16-01, Department of Economics, Simon Fraser University.
    17. Jiaxiu He & Haoming Liu & Alberto Salvo, 2019. "Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 173-201, January.
    18. Gu, Yizhen & Deakin, Elizabeth & Long, Ying, 2017. "The effects of driving restrictions on travel behavior evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 102(C), pages 106-122.
    19. Janet Currie & Eric A. Hanushek & E. Megan Kahn & Matthew Neidell & Steven G. Rivkin, 2009. "Does Pollution Increase School Absences?," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 682-694, November.
    20. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    21. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
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    Cited by:

    1. Mikula, Stepan & Pytlikova, Mariola, 2021. "Air Pollution and Migration: Exploiting a Natural Experiment from the Czech Republic," IZA Discussion Papers 14863, Institute of Labor Economics (IZA).
    2. Štěpán Mikula & Mariola Pytliková, 2020. "Air Pollution & Migration: Exploiting a Natural Experiment from the Czech Republic," EconPol Working Paper 43, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Simiao Chen & David E Bloom, 2019. "The macroeconomic burden of noncommunicable diseases associated with air pollution in China," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.

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    More about this item

    Keywords

    environmental valuation; environmental damage; environmental health; atmospheric ventilation; thermal inversions; heterogeneous effects; longitudinal study; acute exposure; PM2.5; particulate matter; air pollution; school absences; avoidance behavior; distributed lags; instrumental variables;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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