Table 3.
Logit model for the decision to buy or not buy.
| Variable Name | Y_binary (Purchase or Not) | |
|---|---|---|
| Coefficients | Marginal Effects | |
| Insect_phobia | −0.506 ** | −0.120 ** |
| (0.232) | (0.055) | |
| Disgust | −0.598 ** | −0.133 ** |
| (0.285) | (0.059) | |
| Knowledgelevel | 0.846 *** | 0.199 *** |
| (0.161) | (0.038) | |
| Birthplace | 0.446 | 0.105 |
| (0.273) | (0.064) | |
| Age | 0.121 * | 0.027 * |
| (0.062) | (0.014) | |
| Householdincome | 0.156 ** | 0.037 ** |
| (0.062) | (0.015) | |
| Householdsize | 0.225 *** | 0.053 *** |
| (0.082) | (0.019) | |
| Citydummy | 1.095 *** | 0.242 *** |
| (0.298) | (0.061) | |
| Number of observations | 614 | - |
| Log likelihood | −372.061 | - |
| LR Chi Square | 77.58 | - |
| Prob > Chi Square | 0 | - |
| Pseudo R2 | 0.0944 | - |
Notes: The number of observations in the model is 614. We evaluated the difference of the probability of 1 and 0 for the discrete variables while holding all other variables at their means. For continuous variables, we obtained the marginal effects by taking the derivatives of the variable while fixing all variables at the mean. We employed STATA for estimation. *, **, and *** denote coefficient estimates that are statistically significant at the 0.10, 0.05, and 0.01 level, respectively. Standard errors are presented in parentheses. Each variable is defined in Table 1.