Table 2 Multinomial probit model results of milk choice.
From: Spillover effects of food recalls: A milk recall scenario experiment in China
Milk_brand | ||||
|---|---|---|---|---|
Model (1) | Model (2) | |||
No purchase | Other brands | No purchase | Other Brands | |
Online | 0.717** | 0.374 | 1.273* | 0.778 |
(0.364) | (0.284) | (0.727) | (0.595) | |
Voluntary | −1.002** | −0.488 | −1.016 | −0.326 |
(0.494) | (0.354) | (0.775) | (0.460) | |
Mandatory | 0.245 | −0.267 | 0.713 | −0.026 |
(0.440) | (0.366) | (0.620) | (0.474) | |
Online*Voluntary | −0.448 | −0.448 | ||
(0.737) | (0.737) | |||
Online*Mandatory | −0.638 | −0.632 | ||
(0.769) | (0.769) | |||
FoodonlinefreqH | −1.138*** | −0.811** | −1.154*** | −0.813** |
(0.425) | (0.347) | (0.427) | (0.347) | |
MilkfreqH | −0.309 | 0.040 | −0.302 | 0.038 |
(0.421) | (0.337) | (0.425) | (0.340) | |
WorryH | 0.898 | 0.625 | 1.007 | 0.656 |
(0.820) | (0.589) | (0.836) | (0.594) | |
Price | −0.296 | −0.224 | −0.329 | −0.233 |
(0.210) | (0.163) | (0.213) | (0.164) | |
Brand | 0.053 | 0.204 | 0.028 | 0.197 |
(0.202) | (0.162) | (0.206) | (0.164) | |
Age | −0.011 | 0.004 | −0.011 | 0.004 |
(0.019) | (0.015) | (0.019) | (0.015) | |
Male | −0.074 | 0.177 | −0.089 | 0.174 |
(0.373) | (0.291) | (0.377) | (0.294) | |
Edu | −0.009 | 0.080 | −0.004 | 0.084 |
(0.128) | (0.101) | (0.129) | (0.101) | |
Income | −0.013 | 0.002 | −0.015 | 0.001 |
(0.016) | (0.012) | (0.016) | (0.012) | |
Have_old | −0.241 | −0.156 | −0.206 | −0.132 |
(0.424) | (0.311) | (0.427) | (0.315) | |
_cons | 1.584 | 0.409 | 1.393 | 0.268 |
(2.294) | (1.802) | (2.337) | (1.833) | |
Observations | 360 | 360 | ||
Wald chi2 | 34.32 | 34.22 | ||
