Agricultural and Food Economics

Table 9 Separate Probit models–dependent Norefund (0 accepts, 1 does not accept)

From: Eliciting beekeepers’ preferences for the small hive beetle control policy in Italy: a contingent valuation survey approach

	S1			S2			S3
	Coefficient	P > z	dy/dx	Coefficient	P > z	dy/dx	Coefficient	P > z	dy/dx
LNHIVES	0.211	0.52	0.078	− 0.729	0.082	− 0.29	0.065	0.854	0.023
ORGANIC	2.039	0.048	0.692	0.736	0.413	0.287	− 0.805	0.342	− 0.254
TRAP	− 0.722	0.563	− 0.275	1.695	0.129	0.56	1.645	0.136	0.437
APIC_REVENUE	0.12	0.747	0.045	− 0.186	0.574	− 0.074	0.32	0.397	0.112
HONEY	0.074	0.797	0.028	0.09	0.733	0.036	− 0.302	0.399	− 0.105
QUEEN	− 1.042	0.168	− 0.382	− 0.375	0.614	− 0.148	− 0.802	0.238	− 0.282
FARM REVENUES	0.538	0.21	0.2	0.107	0.724	0.042	− 0.754	0.055	− 0.263
DIPLOMA	0.475	0.64	0.171	− 0.581	0.594	− 0.229	− 0.16	0.867	− 0.056
EXPERIENCE	− 0.035	0.434	− 0.013	− 0.009	0.839	− 0.003	− 0.007	0.864	− 0.002
AG_VET_ED	− 1.236	0.264	− 0.388	− 2.136	0.071	− 0.65	− 0.952	0.305	− 0.288
APIC_INCOME_OV75	− 0.526	0.296	− 0.195	0.228	0.588	0.09	0.178	0.662	0.062
Reggio Calabria	1.626	0.227	0.583	− 2.095	0.072	− 0.609	− 0.714	0.54	− 0.218
Vibo Valentia	2.153	0.137	0.717	− 2.081	0.039	− 0.668	0.312	0.747	0.111
_cons	− 1.867	0.29		3.824	0.051		0.319	0.842

dy/dx refers to the marginal effect of an independent variable, that is the derivative (slope) of the prediction function. They indicate the probability of success (does not accept in our case) following probit

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