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China Finance and Economic Review

Table 3 The result of correlation test

From: Leisure participation patterns and gender wage gap—evidence from Chinese manufacturing industry

Variables

 

Gender

Standard hours

Work age

Income

Pearson value

.442**

.411**

.592**

Asymp.Sig (2-tailed)

.000

.000

.000

N

74

74

74

  1. Fourteen variables including level of education, marital status, and leisure time show no significant relationship with income level, so we omit them in the table
  2. *Two-tailed significance at the 0.10 level; ** Two-tailed significance at the 0.05 level
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