Table 3.
Random Effects Regression Model regressing bid for all three smokeless tobacco products. Dependent variable = Bid for smokeless tobacco product. Standard error in parentheses. N=1713 (571*3). +
Dependent Variable=Bid for ST | ||
---|---|---|
Unadjusted | Multivariate | |
Intercept | 0.02**
(0.28) |
1.28**
(0.48) |
Bid was for Ariva | 0.32**
(0.12) |
0.32**
(0.12) |
Bid was for Nicorette | 0.83**
(0.12) |
0.83**
(0.12) |
Treatment that received only pro-ST information |
0.32 (0.39) |
0.28 (0.38) |
Treatment that received only anti-ST information |
0.66 (0.38) |
0.64 (0.37) |
Treatment that received only anti- smoking info |
0.90*
(0.39) |
0.97**
(0.38) |
Treatment that received both pro-ST and anti-ST info |
0.23 (0.38) |
0.30 (0.38) |
Treatment that received both pro-ST and anti-smoking information |
−0.04 (0.38) |
0.01 (0.37) |
In treatment that was offered Snus and tried Snus |
−0.18 (0.48) |
−0.18 (0.48) |
In treatment that was offered Ariva and tried Ariva |
0.29 (0.42) |
0.20 (0.42) |
In treatment that was offered Nicorette and tried Nicorette |
0.03 (0.42) |
0.10 (0.42) |
In treatment that was offered Snus but rejected Snus |
−0.54 (0.45) |
−0.49 (0.44) |
In treatment that was offered Ariva but rejected Ariva |
−0.16 (0.54) |
0.04 (0.53) |
In treatment that was offered Nicorette but rejected Nicorette |
0.85 (0.51) |
0.82 (0.50) |
Age | 0.01 (0.01) |
0.00 (0.01) |
Female | 0.17 (0.18) |
0.15 (0.20) |
Income – Below $30,000 | 0.20 (0.19) |
0.13 (0.19) |
Income – Between $30,000-$60,000 | −0.46 (0.31) |
−0.23 (0.31) |
Race_black | 0.37*
(0.21) |
0.18 (0.23) |
Race_other | 0.19 (0.33) |
0.20 (0.33) |
Participant is from South Carolina | −1.21**
(0.21) |
−1.16**
(0.22) |
Participant is from Pennsylvania | −1.07**
(0.21) |
−1.03**
(0.23) |
Participant has used ST at some point in past |
−0.08 (0.18) |
0.27 (0.20) |
Participant is worried quality of life may be lower because of smoking |
0.06 (0.18) |
0.07 (0.18) |
p< 0.01
p< 0.05
Auctions conducted from November 2010-November 2011. N=571*3