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Drawing on previous findings that married men earn more than never-married or divorced men, explored here is whether married men are seen to earn more because they are economically attractive candidates for marriage in the first place. Data on 2,350 young employed men followed from the 1979 to the 1984 waves of the Panel Study of Income Dynamics are used to model individual transitions in marital status as functions of variables that capture men's earnings prospects. Analysis reveals that single men who are characterized by favorable earnings residuals are more likely to marry. Married men with favorable expected earnings are less prone to divorce. The observed earnings premium of married men results in part from economic selection of high earners into marriage. 6 Tables, 23 References. Adapted from the source document.

This paper addresses the impact of active labor market programs on interregional migration in Sweden. The purpose of the study is to determine the extent to which the programs, which provide training and labor market assistance to jobless individuals, induce participants to migrate. Analysis is based on data registers compiled in 1994 and 1995 by Statistics Sweden and the Labor Market Board of Sweden. The paper specifies and estimates a two‐equation model of participation and subsequent migration. The model, which is estimated by the method of maximum simulated likelihood, accounts for the role of program participation as an endogenous choice variable in the decision to migrate. In an attempt to capture the effect of migrant self‐selection, the estimation approach also controls for unobserved heterogeneity in the participation and migration equations.Results of the study indicate a significant positive impact of participation on subsequent mobility for males. This result is robust with respect to alternative specifications of the migration equation and alternative formulations of the model for program participation. For females, the evidence of program impacts is mixed and it appears to be sensitive to the statistical formulation of the model. (JEL J38, J61)