. 2022 Aug 13;36(2):847–883. doi: 10.1007/s00148-022-00916-y

Table 6.

Estimation of the effects of laissez-faire policies (λ) on number of deaths in US nursing homes

	(1)	(2)	(3)	(4)	(5)
λ	0.713^∗∗	1.063^∗∗∗	2.127^∗∗∗	–0.105	1.573^∗∗
	(2.04)	(3.19)	(3.25)	(–0.21)	(2.12)
Eig_Cent	1.006^∗∗∗	1.482^∗∗∗	1.026^∗∗∗	1.011^∗∗∗	1.533^∗∗∗
	(3.27)	(3.98)	(3.35)	(3.29)	(4.11)
County_ssa	–0.000780	–0.000824	–0.000521	–0.000793	–0.000584
	(-1.09)	(–1.15)	(–0.72)	(–1.11)	(–0.81)
D_Profit	0.266^∗∗	0.268^∗∗	0.269^∗∗	0.101	0.0836
	(2.28)	(2.29)	(2.30)	(0.73)	(0.60)
λ × Eig_Cent		–3.944^∗∗			–4.157^∗∗
		(–1.97)			(–2.08)
λ × County_ssa			–0.00446^∗∗		–0.00445^∗∗
			(–2.47)		(–2.48)
λ × D_Profit				1.231^∗∗	1.387^∗∗
				(1.97)	(2.20)
Overall_Rating	–0.207^∗∗∗	–0.207^∗∗∗	–0.207^∗∗∗	–0.210^∗∗∗	–0.210^∗∗∗
	(–5.07)	(–5.07)	(–5.06)	(–5.13)	(–5.12)
County FE	Yes	Yes	Yes	Yes	Yes
Observations	6478	6478	6478	6478	6478
R ²	0.072	0.073	0.073	0.073	0.074

Standard errors are robust to heteroscedasticity of unknown form; t statistics in parentheses. ^∗ p < 0.1; ^∗∗ p < 0.05; ^∗∗∗ p < 0.01. In Table G4 in Online Appendix G, we show that our main empirical results in Table 6 are robust when replacing eigenvector centrality by the degree centrality