Table A1.

Second-mover regression analysis pre-/post-lockdown.

	Dependent variable:
	TG return	UG accept
	OLS	logistic
	(1)	(2)
Send/offer	1.28${}^{***}$	2.76${}^{*}$
	(0.15)	(1.48)
Post-lockdown	$-$0.12	2.45
	(0.54)	(4.12)
Wuhan	$-$0.74	15.53${}^{***}$
	(0.54)	(1.48)
Other Hubei	$-$0.75	$-$0.27
	(0.78)	(1.37)
Female	$-$0.65${}^{*}$	$-$0.58
	(0.37)	(0.77)
Econ	0.26	$-$1.04
	(0.46)	(0.74)
Send/offer*Post-lockdown	0.23	$-$0.72
	(0.19)	(1.41)
(Intercept)	7.21	$-$14.54
	(5.63)	(11.76)
Control Variables	Yes	Yes
Observations	144	146
$R^2$	0.74
Log Likelihood		$-$27.18

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