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Air Pollution and Lost Work

Author

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  • Jerry A. Hausman
  • Bart D. Ostro
  • David A. Wise

Abstract

A Poisson specification of the relationship between atmospheric pollution and lost work days is estimated.An important feature of the procedure is control for city-specific effects. A major source of ambiguity in interpreting the results of observational data on pollution versus health status or death rates is that pollution in a city may be correlated with other characteristics ofthat city that affect these outcomes but are not controlled for in the analysis. Or, individual attributes of residents may be correlated with pollution levels but notaccounted for in the analysis. Our results suggest a statistically significantand quantitatively important effect of total suspended particulates on work days lost. A standard deviation increase in total suspended particulates is associated with approximately a ten percent increase in work days lost. As a concomitant of our analysis, we also find a substantial relationship between smoking by others in the individual's household and work days lost by non-smokers.

Suggested Citation

  • Jerry A. Hausman & Bart D. Ostro & David A. Wise, 1984. "Air Pollution and Lost Work," NBER Working Papers 1263, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:1263
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    References listed on IDEAS

    as
    1. Ostro, Bart D., 1983. "The effects of air pollution on work loss and morbidity," Journal of Environmental Economics and Management, Elsevier, vol. 10(4), pages 371-382, December.
    2. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    3. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    4. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    5. Mendelsohn, Robert & Orcutt, Guy, 1979. "An empirical analysis of air pollution dose-response curves," Journal of Environmental Economics and Management, Elsevier, vol. 6(2), pages 85-106, June.
    6. Bonham, G.S. & Wilson, R.W., 1981. "Children's health in families with cigarette smokers," American Journal of Public Health, American Public Health Association, vol. 71(3), pages 290-293.
    7. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    8. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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