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. 2020 Jun 16;6(6):e04127. doi: 10.1016/j.heliyon.2020.e04127

Table 6.

Logistic regression arranged by type of benefit: Marginal effects.

Variables Men
Women
No Benefits Benefits Required By Law Benefits Greater than those Required By Law No Benefits Benefits Required By Law Benefits Greater than those Required By Law
Search Method:
 Friends 0.011864∗ -0.000200∗ -0.011664∗ 0.019805∗ -0.000801∗ -0.019004∗

Personal Characteristics:

 Age -0.011980∗ 0.000202∗ 0.011778∗ -0.014974∗ 0.000606∗ 0.014369∗
 Years in Education -0.007591∗ 0.000128∗ 0.007463∗ -0.007258∗ 0.000294∗ 0.006965∗
 Married -0.039109∗ 0.000659∗ 0.038450∗ -0.001864∗ 0.000075∗ 0.001789∗

Job Characteristics:

 Tenure -0.005171∗ 0.000087∗ 0.005084∗ -0.009758∗ 0.000395∗ 0.009363∗
 Type of Company
 Medium -0.172162∗ 0.002901∗ 0.169262∗ -0.125042∗ 0.005057∗ 0.119985∗
 Large -0.237662∗ 0.004004∗ 0.233658∗ -0.192630∗ 0.007790∗ 0.184839∗
Type of work
 Part-time 0.085543∗ -0.001441∗ -0.084102∗ 0.099046∗ -0.004006∗ -0.095040∗
Size of Sample 1,091,205 698,585

∗p < 0.05.

Note: The marginal effects show an increase in probability in relation to the sample mean, corresponding to the particular characteristics in relation to the reference group. The results of the occupation coefficients, industries, cities, and year are not shown in the table but are available to those interested.