Table 6.
Random parameters logit estimates accounting for attribute nonattendance.
| Total Sample |
Drought-prone |
Flood-prone |
|||||||
|---|---|---|---|---|---|---|---|---|---|
| Coef. | Std. Error | Coef. | Std. Error | Coef. | Std. Error | ||||
| Random utility parameters | |||||||||
| Yields 55, 32, 16 qtl/haa (“FSD”) | 1.967 | *** | 0.104 | 1.802 | *** | 0.134 | 2.545 | *** | 0.166 |
| Yields 53, 32, 16 qtl/haa (“SSD”) | 1.907 | *** | 0.097 | 1.638 | *** | 0.117 | 2.478 | *** | 0.164 |
| Yields 53, 22, 16 qtl/haa (“TSD”) | 1.925 | *** | 0.108 | 1.424 | *** | 0.145 | 2.731 | *** | 0.171 |
| SubT 5–10 days | 0.888 | *** | 0.106 | 0.987 | *** | 0.106 | 0.582 | *** | 0.200 |
| SubT 10–15 days | 0.143 | 0.131 | −0.258 | 0.199 | 0.365 | * | 0.199 | ||
| Short Duration | 1.700 | *** | 0.250 | 1.172 | *** | 0.251 | 1.930 | *** | 0.367 |
| Medium Duration | 0.488 | * | 0.257 | 0.638 | *** | 0.245 | 0.925 | ** | 0.375 |
| Seeds cannot be reused | −1.900 | *** | 0.173 | −2.274 | *** | 0.258 | −1.581 | *** | 0.245 |
| Nonrandom utility parameters | |||||||||
| Price | −0.402 | *** | 0.032 | −0.398 | *** | 0.044 | −0.426 | *** | 0.048 |
| Distribution of random utility parameters | |||||||||
| Std. Deviation (“FSD”) | 0.883 | *** | 0.106 | 0.792 | *** | 0.128 | 0.786 | *** | 0.157 |
| Std. Deviation (“SSD”) | 0.696 | *** | 0.119 | 0.458 | ** | 0.195 | 0.740 | *** | 0.161 |
| Std. Deviation (“TSD”) | 0.780 | *** | 0.134 | 0.910 | *** | 0.169 | 0.355 | 0.269 | |
| Std. Deviation (SubT: 5–10 days) | 0.861 | *** | 0.152 | 0.012 | 0.217 | 1.470 | *** | 0.210 | |
| Std. Deviation (SubT: 10–15 days) | 1.522 | *** | 0.151 | 1.402 | *** | 0.199 | 1.576 | *** | 0.203 |
| Std. Deviation (Short Duration) | 3.562 | *** | 0.258 | 2.780 | *** | 0.277 | 4.435 | *** | 0.418 |
| Std. Deviation (Medium Duration) | 3.060 | *** | 0.326 | 2.106 | *** | 0.254 | 3.627 | *** | 0.481 |
| Std. Deviation (Grain cannot be stored and reused as seed) | 2.138 | *** | 0.179 | 2.163 | *** | 0.271 | 1.966 | *** | 0.264 |
| N. Replications for simulated probabilities | 1000 | 1000 | 1000 | ||||||
| N. Observations | 3600 | 1800 | 1800 | ||||||
| N. Parameters | 17 | 17 | 17 | ||||||
| Log Likelihood | −3383.308 | −1763.921 | −1536.256 | ||||||
| Pseudo R2 | 0.321 | 0.291 | 0.382 | ||||||
| AIC | 6800.615 | 3561.842 | 3106.512 | ||||||
| BIC | 3452.911 | 1827.633 | 1599.968 | ||||||
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.