Table 4.
Random parameters logit estimates under full attribute attendance model.
| Total Sample |
Drought-Prone |
Flood-Prone |
|||||||
|---|---|---|---|---|---|---|---|---|---|
| Coef. | Std. Error | Coef. | Std. Error | Coef. | Std. Error | ||||
| Random utility parameters | |||||||||
| Yields 55 qtl/ha, 32 qtl/ha, 16 qtl/haa (“FSD”) | 1.494 | *** | 0.166 | 1.331 | *** | 0.148 | 1.519 | *** | 0.169 |
| Yields 53 qtl/ha, 32 qtl/ha, 16 qtl/haa (“SSD”) | 1.519 | *** | 0.164 | 1.499 | *** | 0.130 | 1.510 | *** | 0.177 |
| Yields 53 qtl/ha, 22 qtl/ha, 16 qtl/haa (“TSD”) | 1.337 | *** | 0.171 | 1.258 | *** | 0.147 | 1.399 | *** | 0.175 |
| SubT - 5–10 days | 0.258 | 0.200 | 0.349 | *** | 0.101 | 0.258 | 0.128 | ||
| SubT - 10–15 days | 0.124 | 0.199 | −0.058 | 0.119 | 0.157 | 0.137 | |||
| Short Duration | 1.208 | *** | 0.367 | 0.855 | *** | 0.196 | 1.377 | *** | 0.275 |
| Medium Duration | 0.116 | 0.375 | 0.194 | 0.134 | 0.348 | 0.201 | |||
| Seeds cannot be re-used | −0.736 | *** | 0.245 | −1.124 | *** | 0.170 | −0.595 | *** | 0.145 |
| Non-random utility parameters | |||||||||
| Price | −0.365 | *** | 0.048 | −0.389 | *** | 0.044 | −0.330 | *** | 0.049 |
| Distribution of random utility parameters | |||||||||
| Std. Deviation (“FSD”) | 1.159 | *** | 0.157 | 1.083 | *** | 0.138 | 1.276 | *** | 0.194 |
| Std. Deviation (“SSD”) | 0.952 | *** | 0.161 | 0.685 | *** | 0.162 | 1.299 | *** | 0.176 |
| Std. Deviation (“TSD”) | 1.106 | *** | 0.269 | 0.874 | *** | 0.151 | 1.343 | *** | 0.178 |
| Std. Deviation (SubT - 5–10 days) | 0.732 | *** | 0.210 | 0.617 | *** | 0.145 | 0.964 | *** | 0.194 |
| Std. Deviation (SubT – 10–15 days) | 1.032 | *** | 0.203 | 0.908 | *** | 0.150 | 1.089 | *** | 0.165 |
| Std. Deviation (Short Duration) | 3.114 | *** | 0.418 | 2.385 | *** | 0.207 | 4.059 | *** | 0.388 |
| Std. Deviation (Medium Duration) | 1.716 | *** | 0.481 | 1.165 | *** | 0.163 | 2.478 | *** | 0.264 |
| Std. Deviation (Grain cannot be stored and reused as seed) | 1.660 | *** | 0.264 | 1.775 | *** | 0.171 | 1.508 | *** | 0.182 |
| N. Replications for simulations | 1000 | 1000 | 1000 | ||||||
| N. Observations | 3600 | 1800 | 1800 | ||||||
| N. Parameters | 17 | 17 | 17 | ||||||
| Log Likelihood | −3843.162 | −1972.900 | −1837.663 | ||||||
| Pseudo R2 | 0.229 | 0.208 | 0.261 | ||||||
| AIC | 7720.325 | 3979.799 | 3709.326 | ||||||
| BIC | 3912.766 | 2036.612 | 1901.375 | ||||||
Note: * Significant at 10% level; ** Significant at 5% level; *** Significant at 1% level. Presented models were estimated using NLOGIT 5.0.
a
These figures correspond to yields under normal conditions, moderate drought stress conditions, and extreme drought stress conditions, respectively. A quintal is a unit of mass commonly used in Odisha, equivalent to 100 kg.