logWi= Xi+ γ1SUM−DURi+ γ2FREQi+ i
Wi i
Xi SUM−DUR
FREQ
RECNT−DUR REMAIN−DUR
logWi= ηXi+ 1R EM A IN−D U Ri+ 2R E C N T−D URi+ 3F R EQi+ wi
1
1 2
2 1
REMAIN−DUR
RECNT−DURi= αZi+ µ1REMAIN−DURi+ µ2FREQi+ µ3logWi+ vi
Z v
FREQ REMAIN−DUR
RECNT−DURi
y1i=Di y2i y3i= y2i− Di
yi=
y1i= Di if y3i 0 y2i if y3i 0
yi Di y2i
y2i Di Di
Prob(y2i Di) = 1−F(Di) f(y2i) F(y2i) = f (y2i) = αy2iα−1e Xi−y2iαe
Xi
E (y2i│Xi) = Xi
lnL =y
Σ
2i Di
ln1− F (Di)+y
Σ
2 i Di
lnf (y2i)
RECNT−DUR) REMAIN−DUR)
R2
σ
abstract
On the basis of data from the National Longitudinal Survey of Youth (NLSY), this paper investigates wage consequences of cumulative experience of job displacement. Unlike previous studies, we consider two measures of cumulative unemployment experience simultaneously: the total frequency and the cumulative duration of unemployment induced by job displacement. When frequency and cumulative duration compete in a wage equation, only cumulative duration remains significant for men, while only frequency matters for women. For men, a one-month increase in the cumulative duration of displacement-initiated unemployment leads to a fall in wages by 0.4 percent. This finding is quite robust with respect to various sample restrictions and/or estimation methods. For women, approximately a 2.5 percent wage reduction is associated with an additional event of displacement
Keywords: displacement frequency, cumulative duration, wages, human capital, gender differences