Table 6 Multivariate linear regression results on inpatient expenses of the poor

Poverty (ref = non-poor)

0.910***

0.800***

0.795***

0.454***

Predisposing characteristics

Gender (ref = male)

0.813***

0.906***

0.840***

0.942***

Age (ref = 15–34)

35–45

1.053

1.114***

0.943

0.953

45–60

1.144***

1.102***

0.875***

0.789***

60+

0.948

0.993

0.663***

0.642***

Rurality (ref = urban)

0.859***

0.886***

0.817***

0.843***

Marriage (ref = unmarried and other)

1.037

1.108***

1.072**

1.163***

Education (ref = high school and above)

Illiterate

0.853***

0.859***

0.848***

0.860***

Primary school

0.862***

0.857***

0.876***

0.879***

Junior school

0.943**

0.949**

0.972

1.027

Occupation (ref = employment)

Unemployment or out of labor force

1.288***

1.275***

1.339***

1.360***

Other

1.387***

1.301***

1.253***

1.209***

Area (ref = eastern)

Middle

0.715***

0.710***

0.730***

0.698***

Western

0.709***

0.737***

0.653***

0.658***

Enabling resources

Insurance (ref = not insured)

Urban employee medical insurance

1.258***

1.220***

0.601***

0.714***

Urban resident medical insurance

1.120

1.064

0.759***

0.810**

Urban and rural resident medical insurance

1.027

0.837**

0.682***

0.667***

New cooperative medical insurance

0.823**

0.898

0.524***

0.661***

Other

1.131

1.100

0.480***

0.629***

Health care need

Self-rated health (ref = the lowest 1/3 quantile)

Middle 1/3 quantile

0.798***

0.905***

0.778***

0.914***

The highest 1/3 quantile

0.696***

0.830***

0.718***

0.850***

Observations

0.798***

0.905***

0.778***

0.914***