jfdr-441-4-yang-022124.pdf — PaddleOCR-VL (Baidu)

Table 1. Definitions and Sample Statistics of Variables (N=3,406)

	Description of Variables	Mean	Std. Dev.	Min.	Max.
Pawpaw	Binary variable=1 if respondent chooses at least above somewhat likely (4) to sample pawpaw products, 0 otherwise	0.62	0.48	0	1
Sorghum	Binary variable=1 if respondent chooses at least above somewhat likely (4) to sample sorghum syrup products, 0 otherwise	0.63	0.48	0	1
Female	Binary variable=1 if respondent is female, 0 otherwise	0.61	0.48	0	1
Age	Continuous variable; years of age	47.93	14.24	10	70
White	Binary variable=1 if respondent’s race is white, 0 otherwise	0.88	0.31	0	1
Have kids	Binary variable=1 if respondent has kids under 18 years old at home, 0 otherwise	0.35	0.47	0	1
Education	Continuous variable; years of education	14.37	2.14	8	18
Income	Continuous variable; total yearly household income before tax ($ thousand)	62.16	42.79	7.5	237.5
Rural	Binary variable=1 if respondent is from countryside or farm, 0 otherwise (non-rural includes urban/suburban residence)	0.16	0.37	0	1
MO	Binary variable=1 if respondent is from Missouri, 0 otherwise (N=354)	0.10	0.30	0	1
KY	Binary variable=1 if respondent is from Kentucky, 0 otherwise (N=226)	0.06	0.24	0	1
TN	Binary variable=1 if respondent is from Tennessee, 0 otherwise (N=291)	0.08	0.27	0	1
WV	Binary variable=1 if respondent is from West Virginia, 0 otherwise (N=94)	0.02	0.16	0	1
VA	Binary variable=1 if respondent is from Virginia, 0 otherwise (N=385)	0.11	0.31	0	1
IL	Binary variable=1 if respondent is from Illinois, 0 otherwise (N=799)	0.23	0.42	0	1
IN	Binary variable=1 if respondent is from Indiana, 0 otherwise (N=395)	0.11	0.32	0	1
OH	Binary variable=1 if respondent is from Ohio, 0 otherwise (N=863)	0.25	0.43	0	1