Mind The Gap: What Explains Changes in the Relative Timing of Marriage and Fertility?

    The typical American family has undergone a dramatic transformation since the 1950s. Marriage and fertility have been delayed, while single-motherhood rates have increased. The link between these facts emanates from the greater delay in marriage than that in first births. As ``the Gap'' between the age at first birth and the age at first marriage becomes negative for some women, out-of-wedlock first births increase. This paper focuses on the increase in income inequality and the decrease in income mobility -- observed across two National Longitudinal Survey of Youth (NLSY) cohorts of women -- to account for the above facts using an equilibrium two-sided search framework where agents make marriage and fertility choices over the life-cycle. Marriage is a commitment device for consumption-sharing, providing spouses with partial insurance against idiosyncratic earnings risk. Agents derive utility from children, but children also involve a risky commitment to future monetary and time costs. According to my model, two observed trends in the income process produce these changes in the respective timings of marriage and fertility. First, the increase in income inequality produces incentives to delay marriage. Since single women tend to face higher income risk than do married women, all else being equal, a decline in marriages when young implies delayed births, which are perceived to be risky. Second, the decrease in income mobility also delays marriage as the insurance value of marriage decreases but accelerates fertility because it becomes less risky to have a child. The model qualitatively matches the observed changes in family formation and quantitatively accounts for a significant portion of the observed changes in marriage and fertility timing between the two NLSY cohorts.

[paper]   [slides]

ART vs Abortion: explaining trends in child adoption.

This paper studies the demand side of the adoption market. I argue that returns to accumulated human capital for females, together with changes in Assisted Reproductive Technology (ART), can partially explain the observed trends in the adoption rate in the U.S. between 1950 and 1990. To analyze these trends, I develop a life-cycle model, in which an agent makes a fertility-timing decision given returns to her human capital and age-specific probability of conception. Under the assumption that adoption is an alternative to childbearing, i.e., an agent chooses to adopt after she fails to conceive, my model uses historical trends of returns to human capital and the success rate of ART to explain changes in adoption trends.

 [paper]   [slides]