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The gender wage gap is the difference between ¯f(Ĉt) and ¯f(ĈM ). Since<br />
at the steady state women leave the labour market with higher probability<br />
than men, and wages are decreasing with this probability - see derivative<br />
(4)- the previous result arises.<br />
Comparative statics<br />
The determinants of the distribution of preferences within the women’s<br />
population at the steady state ˆq s ( µ, and F )affect the firm training in<br />
female jobs and, consequently, the gender wage gap in the long run.<br />
First, a lower probability to exit the labour market µ of f women results<br />
in a higher fraction of job-priority women in the long run. Implicit<br />
´<br />
´<br />
differentiation of (25), where w 2<br />
³Ĉ (qs ; δ,µ) = f<br />
³Ĉ(qs ; δµ) , yields:<br />
h<br />
1<br />
dˆq s<br />
dµ = F<br />
1 − 1 F<br />
f 0 ³Ĉ(·)´<br />
∂Ĉ(·)<br />
∂µ<br />
i<br />
∂w 2(Ĉ(qs;δ,µ))<br />
∂ ˆq s<br />
< 0,<br />
which is negative because: (i) the denominator is positive since condition<br />
(27) is verified at the steady state and (ii) the numerator is negative given<br />
that the first-order condition for optimal training (2) implies ∂Ĉ<br />
∂µ < 0.<br />
Second, a lower non-monetary payoff of family care and housework F<br />
leads to a higher fraction of job-priority women in the long run:<br />
dˆq s<br />
dF =<br />
1 − 1 F<br />
w 2(Ĉ(·))<br />
F 2<br />
∂w 2(Ĉ(qs;δ,µ))<br />
∂ ˆq s<br />
< 0;<br />
this expression is clearly negative arguing, as before, with respect to the denominator.<br />
The evolution and changes of this psychological payoff is beyond<br />
24