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Table 5 The Effect of PM2.5 on Age-Specific Mortalities

From: The impact of PM2.5 on mortality in older adults: evidence from retirement of coal-fired power plants in the United States

 

Models

(1)

(2)

(3)

 

Full Sample

Age 65–75

−0.53

(−2.41–1.36)

−0.53

(− 2.34–1.27)

−0.04

(− 2.10–2.01)

Age 75+

14.75***

(8.40–21.10)

14.37***

(8.08–20.67)

15.40***

(9.00–21.79)

 

Male

Age 65–75

1.18

(− 4.61–6.97)

1.24

(−4.50–6.97)

1.80

(−4.31–7.92)

Age 75+

20.22***

(12.68–27.75)

19.78***

(12.34–27.23)

20.75***

(13.46–28.03)

 

Female

Age 65–75

−1.55

(− 4.36–1.27)

−1.62

(− 4.48–1.24)

−1.23

(− 3.86–1.40)

Age 75+

11.61**

(2.57–20.66)

11.27**

(2.29–20.25)

12.32***

(3.20–21.44)

Weather Controls

N

Y

Y

Socioeconomic Controls

N

N

Y

County Fixed Effects

Y

Y

Y

Month Fixed Effects

Y

Y

Y

  1. Notes: This table reports the instrumental variable regression coefficients and standard errors. Each cell represents a separate regression of monthly age-specific mortality rates (deaths per 100,000 people) on PM2.5 concentrations (μg/m3). Retirement of coal-fired power plants is used as the instrumental variables for monthly PM2.5 concentrations. The dependent variable is the monthly standardized mortality rate per 100, 000 people. The specification corresponds to the column 6 specification in Table 2. Weather controls include temperature, dew point, and barometric pressure. Socioeconomic controls include median household income and poverty rate. Standard errors are clustered at the state level. * p < 0.10, ** p < 0.05, *** p < 0.01