TABLE 4. Multinomial Logistic Regression Output for Predicting the Competing Risks of Taking A Second Trip to Three Locations in Year t + 1.
| INDEPENDENT VARIABLES IN YEAR t | Within Chitwan | To Other Districts | To Other Countries | |||
|---|---|---|---|---|---|---|
| B | SE | B | SE | B | SE | |
| Physical Capital | ||||||
| Home business | -0.190 | 0.319 | -1.580** | 0.731 | -0.993 | 0.610 |
| Outside business | -1.612 | 1.016 | -1.541 | 1.032 | -1.505 | 1.037 |
| Social Capital | ||||||
| Mother traveled internationally | 0.099 | 0.268 | -0.313 | 0.348 | -0.152 | 0.345 |
| Father traveled internationally | -0.218 | 0.185 | 0.120 | 0.227 | 0.661*** | 0.244 |
| Neighborhood prevalence ratio for within Chitwan migrants | -0.004 | 0.004 | -0.005 | 0.006 | 0.003 | 0.006 |
| Neighborhood prevalence ratio for migrants to other districts | 0.015** | 0.007 | 0.027*** | 0.009 | 0.001 | 0.012 |
| Neighborhood prevalence ratio for international migrants | -0.011 | 0.009 | -0.010 | 0.013 | 0.035*** | 0.011 |
| Human Capital | ||||||
| Education | 0.046** | 0.021 | 0.074*** | 0.026 | -0.028 | 0.032 |
| Salary job | 0.732*** | 0.206 | 0.585** | 0.241 | -0.878** | 0.419 |
| Wage job | -0.020 | 0.173 | -0.559** | 0.283 | -0.565** | 0.277 |
| Served in the military | 0.019 | 0.351 | 1.236*** | 0.298 | 0.783** | 0.399 |
| Migration-specific Human Capital | ||||||
| First migration to other districts | 0.735*** | 0.193 | 0.551** | 0.249 | 0.666** | 0.335 |
| First migration to other countries | 0.906*** | 0.218 | 0.460 | 0.306 | 1.102*** | 0.293 |
| First migration within Chitwan | - | - | - | - | - | - |
| Neighborhood Characteristics | ||||||
| Electricity | -0.011 | 0.186 | -0.668** | 0.280 | -0.423 | 0.301 |
| Indicator of neighborhood development | 0.00002 | 0.126 | -0.176 | 0.262 | -0.516 | 0.376 |
| Demographic Variables | ||||||
| Age | -0.163*** | 0.048 | -0.248*** | 0.071 | -0.296*** | 0.087 |
| Age2 | 0.002** | 0.001 | 0.002** | 0.001 | 0.002* | 0.001 |
| Gender | -0.411** | 0.177 | -1.282*** | 0.281 | -2.207*** | 0.330 |
| Marriage | -0.084 | 0.251 | -0.434 | 0.272 | 0.111 | 0.315 |
| Ethnicity | ||||||
| Hindu upper caste | -0.219 | 0.222 | 0.387 | 0.344 | 0.768* | 0.419 |
| Hindu lower caste | 0.348 | 0.245 | 0.941** | 0.389 | 0.672 | 0.457 |
| Hill Tibeto-Burmese | 0.202 | 0.235 | 0.521 | 0.366 | 0.878** | 0.433 |
| Newar and other | 0.035 | 0.333 | 0.862* | 0.443 | 0.649 | 0.655 |
| Terai Tibeto-Burmese | - | - | - | - | - | - |
| Constant | -0.962 | 0.799 | 0.457 | 1.134 | 1.024 | 1.396 |
| No. of person years | 15351 | |||||
*
significant at 10%;
**
significant at 5%;
***
significant at 1%