Table A2.

Censored (Tobit) regression analysis pre-/post-lockdown .

	Dependent variable:
	Trust	DG	UG	Risk+	Risk$-$	Ambiguity
	(1)	(2)	(3)	(4)	(5)	(6)
Post-lockdown	1.47${}^{**}$	0.31${}^{*}$	0.15	0.27${}^{**}$	$-$0.23${}^{**}$	$-$0.32${}^{**}$
	(0.67)	(0.18)	(0.21)	(0.13)	(0.11)	(0.14)
Wuhan	$-$3.79${}^{***}$	$-$0.33	$-$0.10	$-$0.16	$-$0.01	$-$0.20
	(1.22)	(0.33)	(0.55)	(0.21)	(0.17)	(0.26)
Other Hubei	1.81${}^{*}$	0.26	0.65${}^{***}$	$-$0.25	0.10	$-$0.03
	(1.01)	(0.23)	(0.24)	(0.17)	(0.17)	(0.22)
Female	1.60${}^{***}$	0.45${}^{***}$	0.18	$-$0.18	$-$0.13	$-$0.11
	(0.60)	(0.16)	(0.20)	(0.11)	(0.10)	(0.13)
Econ	1.58${}^{*}$	$-$0.04	$-$0.41	$-$0.07	0.06	$-$0.08
	(0.83)	(0.19)	(0.29)	(0.12)	(0.12)	(0.15)
(Intercept)	1.28	4.29${}^{**}$	5.46${}^{**}$	3.31${}^{*}$	3.19${}^{**}$	$-$0.28
	(10.08)	(1.94)	(2.45)	(1.86)	(1.35)	(1.97)
Control Variables	Yes	Yes	Yes	Yes	Yes	Yes
Observations	153	304	151	565	581	573
Log Likelihood	$-$322.52	$-$466.37	$-$228.00	$-$954.51	$-$909.21	- 1,053.97
Wald Test	38.44${}^{***}$	173.02${}^{***}$	23.75${}^{*}$	16.57	33.11${}^{***}$	26.22${}^{*}$

Note:${}^{*}p<0.1$; ${}^{**}p<0.05$; ${}^{***}p<0.01$. Coefficient estimates with robust standard errors in parentheses.