Using Achievement Tests to Measure Language Assimilation and Language Bias among Immigrant Children

We use Woodcock Johnson III child assessment data in the New Immigrant Survey to examine language assimilation and test score bias among children of Hispanic immigrants. Our identification strategy exploits the test language randomization (Spanish or English) to quantitatively measure the degree and speed of language assimilation, in addition to the potential costs associated with taking a test in one’s non-dominant language. We find that U.S. born children of Hispanic immigrants are not bilingual as predicted by most language assimilation models but rather are English dominant. English language assimilation occurs at a rapid pace for foreign born children as well; children who arrive in the U.S. at an early age or who have spent more than four years in the U.S. do not benefit from taking the tests in Spanish. Results are robust to a fixed effects specification that controls for household level characteristics constant across siblings.immigration, language assimilation, New Immigrant Survey, Woodcock Johnson achievement tests

Risk, Network Quality, and Family Structure: Child Fostering Decisions in Burkina Faso

Researchers often assume household structure is exogenous, but child fostering, the institution in which parents send their biological children to live with another family, is widespread in sub-Saharan Africa and provides evidence against this assumption. Using data I collected in Burkina Faso, I analyze a household's decision to adjust its size and composition through fostering. A household fosters children as a risk-coping mechanism in response to exogenous income shocks, if it has a good social network, and to satisfy labor demands within the household. Increases of one standard deviation in a household's agricultural shock, percentage of good network members, or number of older girls increase the probability of sending a child above the current fostering level by 29.1, 30.0, and 34.5 percent, respectively. Testing whether factors influencing the sending decision have an opposite impact on the receiving decision leads to a rejection of the symmetric, theoretical model for child fostering.Child Fostering, Risk-coping, Social Networks, Household Structure

Adjusting Household Structure: School Enrollment Impacts of Child Fostering in Burkina Faso

Researchers claim that children growing up away from their biological parents may be at a disadvantage and have lower human capital investment. This paper measures the impact of child fostering on school enrollment and uses household and child fixed effects regressions to address the endogeneity of fostering. Data collection by the author involved tracking and interviewing the sending and receiving household participating in each fostering exchange, allowing a comparison of foster children with their non-fostered biological siblings. Foster children are equally likely as their host siblings to be enrolled after fostering and are 3.6 percent more likely to be enrolled than their biological siblings. Relative to children from non-fostering households, host siblings, biological siblings, and foster children all experience increased enrollment after the fostering exchange, indicating fostering may help insulate poor households from adverse shocks. This Pareto improvement in schooling translates into a long-run improvement in educational and occupational attainment.Human capital investment, Child fostering, Household structure

Health and civil war in rural Burundi

This paper combines household survey data with event data on the timing and location of armed conflicts to examine the impact of Burundi's civil war on children's health status. The identification strategy exploits exogenous variation in the war's timing across provinces and the exposure of children's birth cohorts to the fighting. After controlling for province of residence, birth cohort, individual and household characteristics, and province-specific time trends, the authors find that children exposed to the war have on average 0.515 standard deviations lower height-for-age z-scores than non-exposed children. This negative effect is robust to specifications exploiting alternative sources of exogenous variation.Youth and Governance,Rural Poverty Reduction,Population Policies,Post Conflict Reconstruction,Health Monitoring&Evaluation

Wars and Child Health: Evidence from the Eritrean-Ethiopian Conflict

This is the first paper using household survey data from two countries involved in an international war (Eritrea and Ethiopia) to measure the conflict’s impact on children's health in both nations. The identification strategy uses event data to exploit exogenous variation in the conflict's geographic extent and timing and the exposure of different children's birth cohorts to the fighting. The paper uniquely incorporates GPS information on the distance between survey villages and conflict sites to more accurately measure a child’s war exposure. War-exposed children in both countries have lower height-for-age Z-scores, with the children in the war-instigating and losing country (Eritrea) suffering more than the winning nation (Ethiopia). Negative impacts on boys and girls of being born during the conflict are comparable to impacts for children alive at the time of the war. Effects are robust to including region-specific time trends, alternative conflict exposure measures, and an instrumental variables strategy.child health, conflict, economic shocks, Africa

The Analytical Returns to Measuring a Detailed Household Roster

Households are dynamic while most surveys only collect information on individuals who are present at a single point in time. We exploit a unique and thorough household membership enumeration in Burkina Faso to consider the analytical costs of the typical static household roster. We document that households are extremely fluid with 10 percent of individuals spending sometime away over a three year period, averaging 16 of the 36 months away. The residency status of persons age 16 to 24 is most in flux. A more complete enumeration offers substantial analytical richness that is especially important for the analysis of issues that are intertwined with who is present in the household, such as the measurement of income inequality and the nature of sibling interactions in education decisions. We find that evidence of sibling rivalry in Burkina Faso appears to owe to the correlation between the presence of sisters in a household and nonagricultural income. We argue for more detailed and thorough measurement of household composition in future multi-purpose household surveys.sibling rivalry, Lorenz curves, household composition, schooling

The Impact of Violent Conflict on Child Health: What Are the Channels?

Child health during and after violent conflicts has been a priority for both policymakers and academics, as ill-health in early life can be impossible to make up for in later life, and has important effects on education and adult wages. In order for policy interventions to mitigate health impacts, it is essential to understand the channels through which conflict impacts on child health. This briefing uses empirical results of research in Burundi and Rwanda to identify these channels. It outlines the policy implications of these findings, arguing that policymakers should prioritise interventions to rebuild agricultural capacity and improve sanitation conditions and nutrition in displacement camps.violent conflict; child health; Burundi; Rwanda; policy

Civil war, crop failure, and child stunting in Rwanda

Economic shocks at birth have lasting effects on children's health several years after the shock. The authors calculate height for age z-scores for children under age five using data from a Rwandan nationally representative household survey conducted in 1992. They exploit district and time variation in crop failure and civil conflict to measure the impact of exogenous shocks that children experience at birth on their height several years later. They find that boys and girls born after the shock in regions experiencing civil conflict are both negatively affected with height for age z-scores 0.30 and 0.72 standard deviations lower, respectively. Conversely, only girls are negatively affected by crop failure, with these girls exhibiting 0.41 standard deviation lower height for age z-scores and the impact is worse for girls in poor households. Results are robust to using sibling difference estimators, household level production, and rainfall shocks as alternative measures of crop failure.Youth and Governance,Population Policies,Rural Poverty Reduction,Children and Youth,Adolescent Health