Table 4:

Heterogeneity in the effects of resource development on mortality by population subgroups

	(1)	(2)	(3)	(4)	(5)	(6)
	Race		Aged: 18–39		Age: 40–65
	White	Non-White	Male	Female	Male	Female
	Panel A: Non-Drug Mortality
# of operating coal mines (in 10s)	−17.50*** (6.696)	17.04 (25.03)	9.646** (4.495)	−1.125 (2.774)	−29.66*** (9.880)	−33.80*** (12.26)
# of horizontal oil and gas wells (in 100s)	−14.68 (9.352)	10.40 (11.88)	1.083 −2.467	−0.424 (1.707)	4.886 (3.891)	−3.668 (3.769)
# of observations	32,601	32,123	32,546	32,546	32,546	32,546
R-squared	0.849	0.481	0.326	0.255	0.627	0.502
	Panel B: Opioid Overdose Mortality
# of operating coal mines (in 10s)	−1.153 (0.831)	1.529 (2.404)	7.177*** (2.455)	2.129 (1.407)	−5.018** (2.149)	−3.117** (1.557)
# of horizontal oil and gas wells (in 100s)	0.176 (0.191)	0.452 (0.575)	0.462 (0.587)	0.479 (0.552)	−0.101 (0.320)	0.123 (0.365)
# of observations	32,776	32,725	32,776	32,776	32,776	32,776
R-squared	0.493	0.095	0.284	0.187	0.363	0.271
All Region <= 100 miles from shale/coal basins	X	X	X	X	X	X

Notes: In this table, we highlight estimates of the effects of resource development on opioid overdose rates across different populations. In Panel A, the outcome variable is the non-drug mortality rate (per 100,000 people). In Panel B, the outcome variable is the opioid overdose rate (per 100,000 people) with corrections used based on models discussed in Boslett, Denham, and Hill (2019) for the given population sub-group of interest. All models include county fixed effects, state-by-year fixed effects, and interactions between a year vector and the initial mortality rate in 2000 to control for pre-coal bust and pre-shale boom differences in mortality rates. Statistical significance: 1% level, ***; 5% level, **; and 10% level, *.