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. 2017 Sep 11;114(39):10384–10389. doi: 10.1073/pnas.1616784114

Table 3.

Comparing OLS and RD estimates of PM's impact on health outcomes

Outcome [1] [2] [3]
Life expectancy at birth, y −0.27*** (0.09) −0.86* (0.51) −0.64*** (0.22)
Cardiorespiratory (per 100,000, log) 0.02*** (0.01) 0.11* (0.06) 0.08*** (0.03)
Estimation method OLS IV IV
RD type Polynomial LLR

In column [1], we report OLS estimates of the association between PM10 and the listed outcome. In column [2], we report the 2SLS IV estimates using north of the Huai River as the IV and a cubic polynomial in degrees latitude from the Huai River interacted with a north dummy variable. In column [3], we estimate the impact of PM10 on the listed outcomes using local linear regression (LLR), treating distance from the Huai River as the forcing variable and PM10 as the treatment variable, with the Huai River representing a “fuzzy” discontinuity in the level of PM10 exposure. Results are reported in terms of the impact of an additional 10 μg/m3 long-term PM10 exposure. Results in columns [1] and [2] are based on the full sample (n = 154) and include the covariates listed in SI Appendix, Table S1. Column [3] is based on the bandwidth selection method proposed by Imbens and Kalyanaraman (14) with a triangular kernel.

*

Significant at 10%.

***

Significant at 1%.