Table 2. Mixed logit modela results for discrete choice experiment on rural posting attributes influencing students’ stated job preferences.
| Attribute | Parameter | Model 1 | Model 2 | |||
|---|---|---|---|---|---|---|
| βb | 95% CI | βb | 95% CI | |||
| Salaryc | Mean | 0.12 | 0.09 to 0.15 | 0.12 | 0.08 to 0.15 | |
| SD | 0.09 | 0.04 to 0.14 | 0.10 | 0.05 to 0.15 | ||
| Allowance for children’s educationd | Mean | 0.70 | 0.54 to 0.86 | 0.68 | 0.48 to 0.87 | |
| SD | 0.48 | 0.23 to 0.73 | 0.49 | 0.25 to 0.74 | ||
| Improved infrastructuree | Mean | 1.42 | 1.17 to 1.66 | 1.44 | 1.14 to 1.74 | |
| SD | 1.19 | 0.94 to 1.44 | 1.22 | 0.96 to 1.48 | ||
| Supportive managementf | Mean | 1.17 | 0.96 to 1.39 | 1.05 | 0.79 to 1.30 | |
| SD | 1.08 | 0.84 to 1.33 | 1.10 | 0.85 to 1.35 | ||
| 2 years before study leaveg | Mean | 1.04 | 0.83 to 1.24 | 1.18 | 0.92 to 1.44 | |
| SD | 1.01 | 0.78 to 1.25 | 1.04 | 0.79 to 1.29 | ||
| No housingh | Mean | −1.59 | −1.88 to −1.31 | −1.56 | −1.90 to −1.22 | |
| SD | 1.18 | 0.87 to 1.50 | 1.23 | 0.91 to 1.56 | ||
| Superior housingh | Mean | 0.65 | 0.44 to 0.86 | 0.83 | 0.56 to 1.11 | |
| SD | 0.78 | 0.46 to 1.10 | 0.83 | 0.50 to 1.15 | ||
| Utility cari | Mean | 0.78 | 0.61 to 0.94 | 0.73 | 0.53 to 0.94 | |
| SD | 0.58 | 0.33 to 0.83 | 0.62 | 0.37 to 0.87 | ||
| Female interaction terms | ||||||
| Salary | – | – | – | 0.01 | −0.04 to 0.06 | |
| Allowance for children’s education | – | – | – | 0.09 | −0.19 to 0.38 | |
| Improved infrastructure | – | – | – | 0.02 | −0.37 to 0.41 | |
| Supportive management | – | – | – | 0.40 | 0.03 to 0.77 | |
| 2 years before study leave | – | – | – | −0.33 | −0.68 to 0.03 | |
| Basic housing | – | – | – | −0.18 | −0.66 to 0.30 | |
| Superior housing | – | – | – | −0.42 | −0.84 to −0.01 | |
| Utility car | – | – | – | 0.17 | −0.13 to 0.47 | |
| No. of respondents | – | 302 | 301 | |||
| No. of observations | – | 6644 | 6622 | |||
| Log-likelihood | – | −1541.7595 | −1529.8463 | |||
| Likelihood ratio χ2 | – | 209.28 | 208.02 | |||
CI, confidence interval; SD, standard deviation.
a Mixed logit model estimated using Stata’s mixlogit command and 500 Halton draws.
b The coefficient (β) represents the mean relative utility of each attribute conditional on other attributes in a choice set, while the standard deviation of the random coefficients reflects the degree of heterogeneity among respondents in the utility of a given attribute.
c Continuous variable; the coefficient represents the magnitude of increase in utility for every 10% increase in salary.
d Compared with no allowance for children’s education.
e Compared with basic infrastructure, equipment and supplies.
f Compared with unsupportive workplace and management.
g Compared with study leave after at least 5 years.
h Compared with basic housing.
i Compared with no utility car.