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Fine Dust is Coming Again: The Effect of Air Pollution on Health Using Seasonal Weather Patterns

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영문명
Fine Dust is Coming Again: The Effect of Air Pollution on Health Using Seasonal Weather Patterns
발행기관
한국자료분석학회
저자명
Seung Jun Kwak Jae Il Cho Eun Chul Choi
간행물 정보
『Journal of The Korean Data Analysis Society (JKDAS)』Vol.24 No.5, 1625~1637쪽, 전체 13쪽
주제분류
자연과학 > 통계학
파일형태
PDF
발행일자
2022.10.31
4,360

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국문 초록

영문 초록

Air pollution, especially fine dust(PM10) and ultra-fine dust(PM2.5), adversely affects people’s health status. However, measuring its effect has been an ongoing debate in health economics and related fields. Air pollution levels are highly correlated to economic conditions (firms produce more during the economic boom increasing the air pollution levels and vice-versa during the recession), which affect individual decisions on medical expenditure and avoidance behavior. In this light, our study uses seasonal weather patterns (i.e., wind direction and wind speed) as instruments to measure and analyze the causal effect of air pollution(PM10 and PM2.5) on mortality. Instruments are robust and valid as seasonal wind patterns are known to affect the air pollution level while they are orthogonal to people's health. Our panel fixed instrumental variable regression results show the clear adverse effect of PM10 and PM2.5 on the number of deaths, especially the deaths caused by cardiovascular and respiratory diseases. Moreover, we also have found that the effect of PM2.5 is more detrimental to health than PM10.

목차

1. Introduction
2. Related Literature
3. Data and Empirical Methods
4. Results
5. Discussion and Conclusion
References

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APA

Seung Jun Kwak,Jae Il Cho,Eun Chul Choi. (2022).Fine Dust is Coming Again: The Effect of Air Pollution on Health Using Seasonal Weather Patterns. Journal of The Korean Data Analysis Society (JKDAS), 24 (5), 1625-1637

MLA

Seung Jun Kwak,Jae Il Cho,Eun Chul Choi. "Fine Dust is Coming Again: The Effect of Air Pollution on Health Using Seasonal Weather Patterns." Journal of The Korean Data Analysis Society (JKDAS), 24.5(2022): 1625-1637

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