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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

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