Analysis of longitudinal earning data indicates higher earnings growth for scientists of the same experience but more recent vintage. Theoretical justification for such a relation is suggested, and the implied biases in cross-section data are noted. Because of a basic identification problem, an alternative interpretation, time-experience interaction, is also considered. The general conclusion is that earning growth is not uniform or neutral. There is no simple mechanical method by which lifetime profiles can be inferred from single cross-section data.

We formulate and estimate a dynamic model of marriage, divorce, and remarriage using panel data on two cohorts of Danish men and women. The marital surplus is identified from the probability of divorce and the surplus shares of husbands and wives from their willingness to enter marriage. We find that the educations of husbands and wives are complements. Education raises the share of the marital surplus for men but not for women. As men and women get older, husbands receive a larger share of the marital surplus. The estimated costs of divorce are high both early and late in marriage.