Table:
male workers
female workers

column 1
column 2

standard deviation of log earnings
0.575
0.499

number of person-year observations
39,572,671
20,738,690

summary of parameter estimates

number of person effects
5,558,251
3,243,861

number of firm effects
423,876
356,756

standard deviation of person effects
0.438
0.413

standard deviation of firm effects
0.192
0.167

standard deviation of predicted log earnings
0.229
0.220

correlation of person-firm effects
0.068
0.000

root-mean-square error of model
0.251
0.222

adjusted r-squared of model
0.810
0.803

correlation of estimated male-female firm effects
..
0.599

inequality decomposition of two-way fixed effects model

share of variance of log earnings attributable to

person effects
58.1
68.5

firm effects
11.1
11.3

covariance of person and firm effects
3.5
0.0

predicted log earnings and associated covariances
11.2
3.9

residual
16.2
16.4

Statement: the most important contributor to total variance was person effects, which explained 58.1% of the variance of earnings for male workers.
Question: the most important contributor to total variance was person effects, what was the percentage of the variance of earnings for male workers?
Answer: [58.1]