Table 4 Regression Results of FE and Panel Quantile Regression

Good health

0.158^{∗ ∗ ∗} (0.020)

0.219^{∗ ∗ ∗} (0.071)

0.169^{∗ ∗ ∗} (0.053)

0.164^∗ (0.085)

−0.064 (0.093)

Average health

0.113^{∗ ∗ ∗} (0.019)

0.171^∗∗ (0.070)

0.123^∗∗ (0.052)

0.082 (0.087)

−0.131 (0.095)

Age

0.035^{∗ ∗ ∗} (0.002)

−0.008^{∗ ∗ ∗} (0.001)

−0.012^{∗ ∗ ∗} (0.001)

−0.010^{∗ ∗ ∗} (0.001)

−0.006^{∗ ∗ ∗} (0.001)

Sex

–

0.179^{∗ ∗ ∗} (0.012)

0.267^{∗ ∗ ∗} (0.014)

0.209^{∗ ∗ ∗} (0.015)

0.116^{∗ ∗ ∗} (0.015)

Marital

0.044 (0.010)

0.167^{∗ ∗ ∗} (0.013)

0.285^{∗ ∗ ∗} (0.015)

0.307^{∗ ∗ ∗} (0.016)

0.215^{∗ ∗ ∗} (0.019)

Registered residence

−0.399^{∗ ∗ ∗} (0.020)

−0.290^{∗ ∗ ∗} (0.017)

−0.225^{∗ ∗ ∗} (0.019)

−0.070^{∗ ∗ ∗} (0.018)

−0.005 (0.019)

Junior high

–

0.061^{∗ ∗ ∗} (0.014)

0.093^{∗ ∗ ∗} (0.018)

0.050^{∗ ∗ ∗} (0.018)

0.012 (0.017)

Senior high or College

–

0.149^{∗ ∗ ∗} (0.017)

0.210^{∗ ∗ ∗} (0.021)

0.150^{∗ ∗ ∗} (0.022)

0.089^{∗ ∗ ∗} (0.021)

University and above

–

0.485^{∗ ∗ ∗} (0.033)

0.520^{∗ ∗ ∗} (0.036)

0.403^{∗ ∗ ∗} (0.040)

0.404^{∗ ∗ ∗} (0.072)

Occupation

0.227^{∗ ∗ ∗} (0.009)

0.450^{∗ ∗ ∗} (0.018)

0.397^{∗ ∗ ∗} (0.022)

0.446^{∗ ∗ ∗} (0.027)

0.675^{∗ ∗ ∗} (0.029)

Central China

–

−0.142^{∗ ∗ ∗} (0.016)

−0.184^{∗ ∗ ∗} (0.022)

−0.120^{∗ ∗ ∗} (0.019)

−0.109^{∗ ∗ ∗} (0.021)

Northeast China

–

−0.182^{∗ ∗ ∗} (0.020)

−0.277^{∗ ∗ ∗} (0.022)

−0.274^{∗ ∗ ∗} (0.022)

−0.229^{∗ ∗ ∗} (0.025)

West China

–

−0.196^{∗ ∗ ∗} (0.024)

−0.287^{∗ ∗ ∗} (0.027)

−0.293^{∗ ∗ ∗} (0.027)

−0.266^{∗ ∗ ∗} (0.027)