Skip to main content

Advertisement

Table 1 Descriptive statistics for the original variables used in multilevel analysis. N = 49,873

From: Income inequality and privatisation: a multilevel analysis comparing prefectural size of private sectors in Western China

Variables Mean SD Min Max
Prefecture level
Privatisation 22.89 7.65 0 45.03
Gini .55 .06 .31 .66
Log Gini −.61 .12 −1.18 −.41
Average income 4292.56 1888.40 1559.69 21653.52
Average education 5.47 1.19 1.32 1.29
Avrg household size 4.48 .61 2.86 6.60
% Han Chinese .69 .30 0 1
% Living in cities .12 .14 0 1
Individual level
Income 4273.01 7155.84 0 400000
Log income 7.68 1.37 0 12.90
Gender .48 .50 0 1
Age 41.64 10.84 16 65
Majority .71 .45 0 1
Married .96 .21 0 1
Urban hukou .17 .38 0 1
Household size 4.33 1.55 1 19
Education 5.35 4.25 0 23
Has been sick .32 .47 0 1
Normal BMI 22.14 2.97 9.28 75.46
Occupational class     
 Working class .08 .27 0 1
 Service class .17 .37 0 1
 Agriculture .75 .43 0 1
Sector
 Agriculture .77 .42 0 1
 State .11 .31 0 1
 Collective .01 .09 0 1
 Private .10 .30 0 1
 Organisations .01 .08 0 1
 Other .01 .09 0 1
Working hour 48.11 25.33 0 168