# Paid job-gender

**Hypothesis:** A higher proportion of women have a paid job.

fre gndr.

RECODE gndr (1=0)(2=1) INTO gndr_dummy.

VARIABLE LABELS gndr_dummy ‘Gender dummy’.

VALUE LABELS gndr_dummy 0’Male’ 1’Female’.

fre gndr gndr_dummy.

fre pdjobev.

RECODE pdjobev (1=1)(2=0) INTO pdjobev_dummy.

VARIABLE LABELS pdjobev_dummy ‘Ever had a paid job dummy variable’.

VALUE LABELS pdjobev_dummy 0’No’ 1’Yes’.

fre pdjobev pdjobev_dummy.

LOGISTIC REGRESSION pdjobev_dummy WITH gndr_dummy.

**b0**: the log odds for category 1 of the dependent variable when the independent variable’s category is 0

b0: the log odds for having a paid job among men are 1.431.

**b1**: how much larger or smaller the log odds become as the independent variable increases by 1 unit.

b1: the log odds of having a paid job among women is by 0.113 higher than among men.

**b0+b1**: the log odds for category 1 of the dependent variable when the independent variable’s category is 1.

b0+b1: the log odds of having a paid job among women are (b0+b1=1.431+0,113)

**Exp(b1)**: the odds of having a paid job among women are 1.120 times as high as among men.

**Exp(b1)**: the odds of having a paid job among men are 4.182.

**Exp(b0+b1)**=Exp(b0)*Exp(b1)= The odds of having a paid job among women are (4,182*1,120).

**Conclusion: **The results refute the hypothesis stating that”a higher proportion of women have a paid job” (p>0,05). We don’t have evidence for concluding this.