Table 3.

Regression analysis pre-/post-lockdown.

	Dependent variable
	Trust	Pro-sociality		Cooperation		Risk		Ambiguity
		DG	UG	SH	PD	Gain	Loss
	OLS	OLS	OLS	Logistic	Logistic	OLS	OLS	OLS
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
Post-lockdown	0.85${}^{*}$	0.27${}^{*}$	0.15	$-$0.70${}^{***}$	0.63${}^{***}$	0.26${}^{**}$	$-$0.24${}^{**}$	$-$0.32${}^{**}$
	(0.45)	(0.14)	(0.21)	(0.27)	(0.21)	(0.12)	(0.11)	(0.13)
Wuhan	$-$2.35${}^{***}$	$-$0.26	$-$0.03	$-$0.08	$-$0.76${}^{*}$	$-$0.16	$-$0.01	$-$0.20
	(0.68)	(0.24)	(0.50)	(0.42)	(0.41)	(0.21)	(0.17)	(0.25)
Other Hubei	1.28${}^{*}$	0.20	0.65${}^{***}$	$-$0.06	$-$0.33	$-$0.23	0.10	$-$0.01
	(0.68)	(0.19)	(0.24)	(0.31)	(0.26)	(0.16)	(0.16)	(0.20)
Female	1.11${}^{***}$	0.35${}^{***}$	0.19	0.19	0.47${}^{***}$	$-$0.19${}^{*}$	$-$0.13	$-$0.10
	(0.40)	(0.12)	(0.19)	(0.22)	(0.18)	(0.11)	(0.09)	(0.12)
Econ. major	0.91${}^{*}$	$-$0.05	$-$0.39	$-$0.15	$-$0.17	$-$0.06	0.06	$-$0.08
	(0.54)	(0.15)	(0.28)	(0.28)	(0.23)	(0.12)	(0.12)	(0.14)
Intercept	3.15	4.09${}^{***}$	5.58${}^{**}$	1.79	$-$2.74	3.36${}^{*}$	3.28${}^{**}$	0.21
	(6.73)	(1.55)	(2.41)	(2.93)	(2.30)	(1.77)	(1.30)	(1.82)
Control Variables	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Observations	153	304	151	593	594	565	581	573
$R^2$	0.16	0.09	0.13			0.03	0.06	0.03
Log Likelihood				$-$280.50	$-$382.35

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