College of Behavioral & Social Sciences

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    Parenting in place: Young children's living arrangement and migrants' sleep health in South Africa
    (Wiley, 2023-07-11) Madhavan, Sangeetha; Wan Kim, Seung; White, Michael; Gomez-Olive, Xavier
    Migration research tends to treat childrearing as a secondary role for migrants. By prioritising the economic objectives of migration, most models present migrants as either delaying childbearing or, if they have young children, not living with them. However, migration has become increasingly feminised, the types of mobility more varied, while the returns to migration remain uncertain at best. At the same time, norms around childrearing are shifting, and the capacity of kin to take care of children may be weakening. In such contexts, migrants may not want to or be able to be separated from their children. Confronting such difficult decisions and their consequences may be reflected in poor sleep health for the migrant parent. We draw on data from the Migration and Health Follow-Up Study (MHFUS) in South Africa to examine the following questions: (i) To what extent is children's coresidence associated with sleep health for migrant parents? (ii) Do effects vary by sex of migrant? and (iii) Do effects vary by location of migrant? Results from propensity score matching confirm that migrants who coreside with all their young children are more likely to experience healthy sleep compared to those who have nonresident or no young children. However, stratified analysis shows that these effects are only significant for women and those not living in Gauteng province. The value of these findings is underscored by the need for research on the well-being of migrant parents who are negotiating multiple agendas in economically precarious and physically insecure destinations.
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    Affecting Children and the Effect of Children
    (2006-04-27) Cristia, Julian Pedro; Evans, William N; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    In the first half of my dissertation, I estimate the causal effect of a first child on female labor supply. This is a difficult task given the endogeneity of the fertility decision. Ideally, this question could be answered by running a social experiment where women are randomly assigned children or not. Using field data from the National Survey of Family Growth (NSFG), I mimic this hypothetic experiment by focusing on a sample of women that sought help to become pregnant. After a certain period since they started receiving help, only some of these women are successful. In this instance, fertility appears to be exogenous to labor supply in that pre-treatment labor supply is uncorrelated with subsequent fertility. Using this strategy, I estimate that having a first child younger than a year old reduces female labor supply by 26.3 percentage points. These estimates are close to OLS and fixed-effects estimates obtained from a panel data constructed from the NSFG. They are also close to OLS estimates obtained using similarly defined samples from the 1980 and 1990 Censuses. The second part of my dissertation explores the problem of an educational authority who decides his revelation policy about students' educational attainments in order to maximize mean educational achievement. Incentives in an educational context are different from those in the marketplace. Schools cannot pay students to motivate them to attain higher levels of education. However, there is still a role for incentives. Since students care about which signal they can get from the school (pass/fail, GPA), the school has a tool to influence students' behavior. Using a theoretical model, I explore the optimal way to use this tool, i.e., the optimal way to reveal educational achievements. I find that this optimal revelation policy is dependent on the distribution of students with respect to ability. I show that this optimal scheme could be: a) classify individuals in two groups and just reveal this information, b) reveal all information, c) set a critical standard and group all individuals together below this level and provide full information about students' productivity above it.