Showing 1 - 10 of 26
Persistent link: https://www.econbiz.de/10003376574
Persistent link: https://www.econbiz.de/10003951063
Persistent link: https://www.econbiz.de/10002814173
In this paper, we remove one serious drawback of the IAB employment sample impeding its applicability to the estimation of earnings frontiers: the censoring of the income data, by multiple imputation. Then, we estimate individual potential income with stochastic earnings frontiers, and we...
Persistent link: https://www.econbiz.de/10010266781
In order to analyze the gender wage gap with the German IAB-employment sample we have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a missing data problem. We regard the missingness mechanism as not missing at random (NMAR,...
Persistent link: https://www.econbiz.de/10010266796
Persistent link: https://www.econbiz.de/10008394550
Persistent link: https://www.econbiz.de/10008515334
"In this paper, we remove one serious drawback of the IAB employment sample impeding its applicability to the estimation of earnings frontiers: the censoring of the income data, by multiple imputation. Then, we estimate individual potential income with stochastic earnings frontiers, and we...
Persistent link: https://www.econbiz.de/10005537119
"In order to analyze the gender wage gap with the German IAB-employment sample we have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a missing data problem. We regard the missingness mechanism as not missing at random (NMAR,...
Persistent link: https://www.econbiz.de/10005537152
"In order to analyze the gender wage gap with the German IAB-employment sample we have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a missing data problem. We regard the missingness mechanism as not missing at random (NMAR,...
Persistent link: https://www.econbiz.de/10010592376