A Quantile Regression Analysis of Respiratory Health and PM10 Pollution

Authors

Rebecca L. Brunson, Brigham Young University
Dr. Mark Showalter, Brigham Young University

Keywords

quantile regression analysis, respiratory health, PM10 pollution

College

Family, Home, and Social Sciences

Department

Economics

Abstract

In 1991 Dr. C Arden Pope published a study on the effect of changes in fine particulate pollution (PM10) on respiratory health, as measured by peak expiratory flow (PEF). The study found that respiratory health (PEF) was affected by changes in PM10 even when the levels were well below the national ambient air quality standard. The results of the study were statistically significant. “Elevated PM10 levels were associated with statistically significant reductions in lung function as measured by reductions in PEF and increased reported symptoms of respiratory disease and asthma medication use” (1).

Recommended Citation

Brunson, Rebecca L. and Showalter, Dr. Mark (2013) "A Quantile Regression Analysis of Respiratory Health and PM10 Pollution," Journal of Undergraduate Research: Vol. 2013: Iss. 1, Article 195.
Available at: https://scholarsarchive.byu.edu/jur/vol2013/iss1/195