Table 6.

Average marginal effects on use and importance variables

	pct_sold	vbsc_rank1	vbsc_top3
Farm characteristic
acres	− 0.238**	− 0.010	0.045*
	(0.107)	(0.009)	(0.025)
gfi	− 0.059***	0.000	− 0.002***
	(0.022)	(0.001)	(0.001)
pct_farminc	− 0.030	0.000	0.001
	(0.037)	(0.001)	(0.002)
Commodities produced
meats&dairy	3.535	− 0.053	− 0.062
	(3.250)	(0.055)	(0.066)
hortcrop	− 0.148	− 0.189***	− 0.096
	(4.466)	(0.058)	(0.079)
agroncrop	− 9.882***	0.149	0.039
	(3.105)	(0.111)	(0.072)
Region (base = Midwest)
Northwest	3.640	− 0.123	− 0.037
	(3.723)	(0.099)	(0.132)
Pacific	− 4.368	− 0.088	− 0.132
	(4.337)	(0.128)	(0.124)
Northeast	1.503	− 0.195*	− 0.230
	(3.747)	(0.117)	(0.145)
Southeast	13.831**	0.092	− 0.209*
	(5.686)	(0.114)	(0.121)
Operator characteristic
female	− 6.627**	− 0.044	− 0.128**
	(2.929)	(0.045)	(0.056)
age	− 0.117	0.004*	0.002
	(0.102)	(0.003)	(0.002)
Number of obs	225	226	226
p-value for F/χ2 test	0.000	0.000	0.000
Pseudo R-squared	0.014	0.086	0.101

*, **, and *** signify statistical significance at the 0.1, 0.05, and 0.01 levels, respectively

The numbers reported for the pct_sold equation are average marginal effects based on a tobit regression, accounting for the probability of the dependent variable censored at 0 and 100

The numbers reported for the vbsc_rank1 and vbsc_top3 equations are average marginal effects based on a logistic regression. The numbers in parentheses are standard errors adjusted for VBSC clusters