Table A3.

Count data (Poisson) regression analysis of attitudes towards risk and ambiguity pre-/post-lockdown.

	Dependent variable:
	Risk+	Risk$-$	Ambiguity
	(1)	(2)	(3)
Post-lockdown	0.06${}^{**}$	$-$0.04${}^{**}$	$-$0.07${}^{**}$
	(0.03)	(0.02)	(0.03)
Wuhan	$-$0.03	$-$0.002	$-$0.05
	(0.04)	(0.03)	(0.06)
Other Hubei	$-$0.05	0.02	$-$0.002
	(0.03)	(0.03)	(0.05)
Female	$-$0.04${}^{*}$	$-$0.02	$-$0.02
	(0.02)	(0.01)	(0.03)
Econ	$-$0.01	0.01	$-$0.02
	(0.03)	(0.02)	(0.03)
(Intercept)	1.25${}^{***}$	1.36${}^{***}$	0.51
	(0.39)	(0.20)	(0.42)
Control Variables	Yes	Yes	Yes
Observations	565	581	573
Log Likelihood	$-$1,049.87	$-$1,134.67	$-$1,087.14

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