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Table 5 Sub-group mixed-logit analysis: gender

From: Old people’s preference for nursing homes in East China: a discrete choice experiment

Attributes and levels

Male

Female

β

SE

95%CI

β

SE

95%CI

Monthly fee (ref: > CNY4000)

      

 ≤ 2000

1.648***

0.446

(0.773, 2.523)

1.356***

0.332

(0.706, 2.006)

 2001–4000

1.081***

0.288

(0.517, 1.645)

1.333***

0.326

(0.694, 1.972)

Distance (ref: >60 min)

      

 ≤ 30 min

0.673

0.348

(-0.010, 1.355)

1.133***

0.280

(0.584, 1.682)

 31–60 min

0.085

0.268

(-0.440, 0.610)

1.083***

0.271

(0.552, 1.615)

Location(ref: suburb)

      

 Downtown

0.189

0.207

(-0.217, 0.595)

0.359*

0.157

(0.051, 0.668)

Medical facility (ref: no)

      

 Yes

1.890***

0.453

(1.002, 2.779)

1.498***

0.316

(0.879, 2.118)

Environment (ref: fair)

      

 Good

0.752**

0.231

(0.300, 1.205)

0.077

0.177

(-0.270, 0.424)

Nursing staff (ref: not professional)

      

 Professional

2.939***

0.616

(1.732, 4.145)

2.643***

0.498

(1.667, 3.619)

 Log likelihood

-362.901

-521.062

 Sample size

100

133

 Observations

1600

2128

  1. β Beta Coefficient, SE Standard error, CI Confidence interval
  2. *P < 0.05, ** P < 0.01, *** P < 0.001