In many developed countries, children now begin their formal schooling at an older age. However, a growing body of empirical studies provides little evidence that such schooling delays improve educational and economic outcomes. This study presents new evidence on whether school starting age influences student outcomes by relying on linked Danish survey and register data that include several distinct, widely used, and validated measures of mental health that are reported out-of-school among similarly aged children.
We develop and illustrate a general method for describing in detail the joint distribution of race and income among neighborhoods. The approach we describe provides estimates of the average income distribution and racial composition of the neighborhoods of households of a given racial category and specific income level. We illustrate the method using 2007-2011 tract-level data from the American Community Survey.
Ho and Reardon (2012) present methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. They demonstrate that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data scenarios.
This study estimates the flypaper effect of intergovernmental transfers in the Brazilian education sector. Education funds in Brazil are comprised by local revenue and intergovernmental transfers, both tied to education, and other non-tied local revenue and intergovernmental transfers.
Revealed preferences for equal college access may be due to beliefs that equal access increases societal income or income equality. To isolate preferences for those goods, we implement an online discrete choice experiment using social statistics generated from true variation among commuting zones.
An Integrative View of School Functioning: Transactions Between Self-Regulation, School Engagement, and Teacher–Child Relationship Quality
This study investigates the dynamic interplay between teacher–child relationship quality and children's behaviors across kindergarten and first grade to predict academic competence in first grade. Using a sample of 338 ethnically diverse 5-year-old children, nested path analytic models were conducted to examine bidirectional pathways between children's behaviors and teacher–child relationship quality.
Longitudinal data from the children of the National Longitudinal Survey of Youth (NLSY) were used to assess how well measures of short-term and working memory and attention in early childhood predicted longitudinal growth trajectories in mathematics and reading comprehension. Analyses also examined whether changes in memory and attention were more strongly predictive of changes in academic skills in early childhood than in later childhood.
Education policy decisions are both normatively and empirically challenging. These decisions require the consideration of both relevant values and empirical facts. Values tell us what we have reason to care about, and facts can be used to describe what is possible. Following Hamlin and Stemplowska, we distinguish between a theory of ideals and descriptions of feasibility. We argue that when feasibility constraints are used to rank competing states of affairs, two things must be articulated. First, one must explain why one feasibility constraint is preferred over another.
This longitudinal study examined different explanations for negative associations between aggression and academic achievement using data collected from 403 children from low-income families followed from kindergarten or first grade (ages 6 and 7 years) through fifth grade (ages 10–11 years).
The ability of school (or teacher) value‐added models to provide unbiased estimates of school (or teacher) effects rests on a set of assumptions. In this paper, we identify six assumptions that are required in order that the estimands of such models are well‐defined and that the models are able to recover the desired parameters from observable data. These assumptions are 1) manipulability; 2) no interference between units; 3) interval scale metric; 4) homogeneity of effects; 5) strongly ignorable assignment; and 6) functional form.