Table 8. Regression models on policy support.

	Support Nudge [M1]	Support Regulation [M2]	Support Nudge [M3]	Support Regulation [M4]	Support Nudge [M5]	Support Regulation [M6]
Risk Perception	0.629 ***	0.761 ***	0.606 ***	0.707 ***	0.64 ***	0.767 ***
	(0.048)	(0.05)	(0.036)	(0.038)	(0.049)	(0.051)
Direct Experience	-0.826.	-1.229 *			-0.748	-1.176 *
	(0.498)	(0.515)			(0.512)	(0.53)
RP x DE	0.082	0.157			0.072	0.149
	(0.096)	(0.099)			(0.099)	(0.102)
Indirect Experience			-0.355	-0.373	-0.195	-0.138
			(0.372)	(0.386)	(0.38)	(0.393)
RP x IE			0.037	0.047	0.02	0.016
			(0.073)	(0.075)	(0.074)	(0.077)
Constant	2.372 ***	1.765 ***	2.602 ***	2.164 ***	2.317 ***	1.73 ***
	(0.249)	(0.258)	(0.186)	(0.193)	(0.256)	(0.265)
F statistic	120.21	154.48	113.96	145.76	72.4	92.65
	(3, 996)	(3, 996)	(3, 996)	(3, 996)	(5, 994)	(5, 994)
Prob > F	<.001	<.001	<.001	<.001	<.001	<.001
Adj. R 2	0.264	0.315	0.253	0.303	0.263	0.314

Note: The table reports the estimates of linear models where the outcome variable is the mean support for nudges or regulations. Standard errors are in brackets for the input variables. The categorical experience variables were specified to be a contrast centered at 0. They have the value 1 in case of an experience and -1 in absence of it. RP abbreviates the risk perception index, DE the direct experience, IE the indirect experience. The interaction terms are denoted using (x). Significance levels are denoted with (.) when p < 0.10; (*) when p < 0.05; (**) when p < 0.01; (***) when p < 0.001.