Table 2.
Bovine health effects on nutrient shadow prices.
| Dependent | Independent | Coefficient | Std errors | t-values | Pr(>|t|) | |
|---|---|---|---|---|---|---|
| Protein | Intercept | 0.3197 | 0.0617 | 5.1796 | 0.0000 | *** |
| Livestock illness avg | 0.1113 | 0.0507 | 2.1934 | 0.0283 | ** | |
| Total HH members | −0.0044 | 0.0058 | −0.7659 | 0.4438 | ||
| Lipids | Intercept | 0.4172 | 0.0934 | 4.4678 | 0.0000 | *** |
| Livestock illness avg | 0.1210 | 0.0726 | 1.6658 | 0.0958 | * | |
| Total HH members | 0.0047 | 0.0071 | 0.6541 | 0.5131 | ||
| Carbohydrates | Intercept | 0.0647 | 0.0162 | 3.9961 | 0.0001 | *** |
| Livestock illness avg | 0.0341 | 0.0142 | 2.4110 | 0.0159 | ** | |
| Total HH members | −0.0031 | 0.0024 | −1.2785 | 0.2011 |
OLS specified regression results for bovine livestock health effects on costs of nutrient consumption at the household level. Covariance matrix is estimated using the (20) Heteroskedastic and Autocorrelation Consistent Covariance Estimator. {***, **, *} Significant at the {0.01, 0.05, 0.1} level. The adjusted R squared for protein, lipids, and carbohydrates models are 0.005, 0.002, and 0.005, respectively.