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Air Pollution and Lost Work

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Author Info
Jerry A. Hausman
Bart D. Ostro
David A. Wise

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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.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 1263.

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Date of creation: Jan 1984
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Handle: RePEc:nbr:nberwo:1263

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Gary Chamberlain, 1982. "Panel Data," NBER Working Papers 0913, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January. [Downloadable!] (restricted)
  3. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-20, May. [Downloadable!] (restricted)
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  4. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November. [Downloadable!] (restricted)
  5. Hausman, Jerry A. & Taylor, William E., 1981. "Panel data and unobservable individual effects," Journal of Econometrics, Elsevier, vol. 16(1), pages 155-155, May. [Downloadable!] (restricted)
  6. 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. [Downloadable!] (restricted)
  7. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-98, November. [Downloadable!] (restricted)
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  1. Samakovlis, Eva & Huhtala, Anni & Bellander, Tom & Svartengren, Magnus, 2004. "Air Quality and Morbidity: Concentration-response Relationships for Sweden," Working Paper 87, National Institute of Economic Research.
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