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Table 5 Panel Quantile Regression Results Using Health Score Variable

From: The inequality of health-income effect in employed workers in China: a longitudinal study from China Family Panel Studies

 

Panel Quantile Regression Estimation

25th

50th

75th

90th

Score 1

0.262∗ ∗ ∗ (0.054)

0.183∗ ∗ ∗ (0.041)

0.221∗ ∗ ∗ (0.056)

0.086 (0.073)

Score 2

0.235∗ ∗ ∗ (0.057)

0.148∗ ∗ ∗ (0.045)

0.155∗∗ (0.063)

0.003 (0.077)

Score 3

0.171∗ ∗ ∗ (0.054)

0.133∗ ∗ ∗ (0.043)

0.119∗∗ (0.060)

−0.023 (0.077)

Controlling Covariates

YES

YES

YES

YES

  1. a Numbers in parentheses are estimated robust standard errors corrected for clustering using bootstrap technique
  2. b ***, **, * Significance levels at 1, 5, and 10% respectively
  3. c All estimations control for the following covariates: sex; education; age and its squared term; registered residence; marital status; nationality, dummy indicators for the residential area
  4. d Health score is defined as an ordered response variable with four different levels: no chronic disease (s1), have a chronic illness but not severe (s2), have chronic diseases somewhat severe(s3) and quite severe(s4). s4 is used as reference group.