Variables

Binary probit

Without variable of control

With variable of control

Coefficients

Marginal effects

Coefficients

Marginal effects

Sex [Ref. Woman]

Man

−0.0734

−0.0143

-0.0942

-0.0177

Marital status [Ref. never married]

Married

Divorced or separated

Widowed

0.1251

−0.0444

0.1487

0.0241

−0.0090

0.0268

0.1045

0.0007

0.1613

0.0196

0.0001

0.0279

Age (Years old) [Ref. 15-24]

[25 - 34[

[35 - 59[

[60 - +[

− 0.3597***

−0.3558***

nd

−0.0752***

−0.0780***

nd

-0.3204***

-0.3148**

nd

-0.0643***

-0.0663**

nd

Level education [Ref. no level]

Primary

Secondary

University

−0.0780

−0.3815***

−0.5472***

−0.0157

−0.0825***

−0.1404**

-0.0706

-0.3437***

-0.5232***

-0.0138

-0.0716***

-0.1298***

Size of the company [Ref.

Don’t know

[10 - 199[

[199 - +[

−0.3118***

−0.3032

−0.0700**

−0.0700

-0.2623**

-0.2594

-0.0561**

-0.0570

Inverse Mills ratio

−0.7070***

−0.1393***

-0.6318***

-0.1207***

Duration of employment before obtaining employment [Ref. 0]

]0 - 2]

]2 - 5]

]5 - 12]

]12 - +[

−0.3603**

−0.4385***

−0.4705***

−0.4486***

−0.0819**

−0.1036**

−0.1124***

−0.1019***

Constant

1.6783***

1.8357***

Observations

LR Chi2 (12)

LR Chi2 (16)

Prob > Chi2

Pseudo R2

Log likelihood

1659

128.75

0.0000

0.0969

−599.6788

1659

156.18

0.0000

0.1176

−585.96375