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Table 3 Mixed logit estimates and WTP (n = 106)

From: Tackling brain drain at Chinese CDCs: understanding job preferences of public health doctoral students using a discrete choice experiment survey

Attributes and levels

Coefficient (SE)

p-value

SD (SE)

p-value

WTP (CNY)a

95% CI

Employment location (ref: third-tier city)

 Second-tier city

0.814 (0.157)

p < 0.001

0.805 (0.207)

p < 0.001

7357.3

4726.2

10,360.6

 First-tier city

1.508 (0.215)

p < 0.001

1.444 (0.229)

p < 0.001

13,638.2

10,088.1

18,184.4

Housing benefits (ref: no housing benefits)

 Housing allowance provided

0.419 (0.135)

p = 0.002

0.198 (0.326)

p = 0.544

3792.5

1439.2

6231.9

 Housing provided

0.715 (0.139)

p < 0.001

0.285 (0.299)

p = 0.341

6466.9

4103.1

9293.4

Children’s education opportunities (ref: ordinary)

 Good

0.584 (0.108)

p < 0.001

0.498 (0.163)

p = 0.002

5278.1

3367.8

7502.6

Career promotion speed (ref: 5 years)

 3 years

0.243 (0.129)

p = 0.060

0.180 (0.444)

p = 0.685

2200.7

-85.3

4656.5

 1 year

0.584 (0.141)

p < 0.001

0.522 (0.232)

p = 0.024

5280.0

2852.6

7983.5

Working environment (ref: ordinary)

 Better

0.193 (0.091)

p = 0.033

0.221 (0.238)

p = 0.354

1748.0

123.6

3403.9

bianzhi (ref: none)

 Offer

0.824 (0.134)

p < 0.001

0.831 (0.157)

p < 0.001

7447.6

5153.6

10,091.5

Monthly income

0.0001106 (0.0000122)

p < 0.001

     

 LR Chi2 (10)

69.48

      

 Number of observations

1272

      

 Log-likelihood

− 662.25

      

 AIC

1362.50

      

 BIC

1473.49

      
  1. WTP willingness to pay, CNY Chinese yuan, SD standard deviation, SE standard error, 95% CI 95% confidence intervals, AIC Akaike information criterion, BIC Bayesian information criterion aUS$1 = CNY 6.901