Table 2.
Censored Regression Model Regressing Bid for E-Cigarette
| Dependent variable = bid for single-use e-cigarette | Dependent variable = bid for e-cigarette kit | |||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | |
| Intercepta | 5.47** (1.82) | 4.59** (1.78) | 10.57* (4.04) | 7.90* (3.85) |
| Participant received only video information (relative to control), N = 110 (27%) | −1.28 (0.93) | −1.44 (0.88) | 0.25 (2.15) | −0.09 (1.89) |
| Participant received only print information (relative to TV only), N = 110 (27%) | 0.79b (0.93) | 0.49b (0.89) | 3.26 (2.15) | 2.39 (1.91) |
| Participant received both print ad and TV ad (relative to TV only), N = 99 (24%) | 0.80b (0.94) | 0.10 (0.89) | 3.89 (2.16) | 1.85 (1.91) |
| Self-rated health (mean = 2.66, SD = 0.90) | −0.62 (0.37) | −0.41 (0.35) | −1.80* (0.85) | −1.27 (0.76) |
| Age (mean = 41.1, SD = 14.3) | 0.00 (0.02) | 0.01 (0.02) | 0.05 (0.05) | 0.08 (0.05) |
| Female, N = 175 (43%) | 0.12 (0.67) | 0.38 (0.64) | −0.55 (1.54) | 0.30 (1.37) |
| Income—below $30000, N = 212 (52%) | 0.37 (0.71) | 0.41 (0.67) | 1.67 (1.63) | 1.80 (1.45) |
| Income—between $30000 and $60000, N = 57 (15%) | 0.76 (1.03) | −0.11 (0.97) | 3.69 (2.34) | 1.05 (2.07) |
| Education level (mean = 1.60, SD = 1.12) | 0.29 (0.29) | 0.40 (0.27) | 0.92 (0.66) | 1.35* (0.59) |
| Race_black, N = 136 (33%) | 0.50 (0.82) | 0.81 (0.78) | −1.73 (1.88) | −1.15 (1.68) |
| Race_other, N = 29 (7%) | 3.62** (1.36) | 4.14** (1.29) | 0.98 (3.12) | 1.65 (2.78) |
| Participant is from Buffalo, N = 213 (52%) | 1.24 (0.78) | 0.84 (0.75) | 5.22** (1.79) | 4.05* (1.61) |
| BMI (mean = 28.2, SD = 6.9) | −0.11* (0.05) | −0.12** (0.05) | −0.17 (0.11) | −0.19* (0.10) |
| Participant is worried quality of life may be lower because of smoking, N = 234 (57%) | −0.29 (0.62) | −0.81 (1.33) | ||
| Participant has ever used an e-cigarette, N = 209 (52%) | 0.72 (0.63) | 2.12 (1.34) | ||
| Log likelihood | −1220 | −1162 | −1550 | −1464 |
BMI = body mass index. SE in parentheses. N = 409.
aAuctions conducted from March to November 2014. N = 409.
bCoefficient for those who saw print ad only is different from the coefficient for those who saw video ad only and that difference is statistically significant at the 5% level.
*p < .05; **p < .01.