When estimating earnings equations for men in the United States, a dic
hotomous variable for whether or not the man is currently married is o
ften included as a regressor. The coefficient estimate for this variab
le is most usually large and significant. However, there is rarely muc
h discussion of the marriage effect. This effect is central to this st
udy, which contributes to the understanding of this statistical associ
ation in two ways. First, it shows that the relationship exists in alm
ost all of the fourteen developed countries examined and across severa
l different time periods. Controlling for age, and, when available, ed
ucation, race/ethnicity, hours worked, and location, marriage differen
ces in annual earnings;in favor of currently married males range from
0% to 30%. Second, it finds that there are important differences betwe
en those who are separated, divorced, widowed, and never married.