This paper estimates a dynamic model of schooling attainment to investigate the sources of racial and ethnic disparity in college attendance. Parental income in the child's adolescent years is a strong predictor of this disparity. This is widely interpreted to mean that credit constraints facing...

This paper examines the determinants of GED acquisition. high school graduation and postsecondary training and schooling choices. Economic factors determining dropping out are considered. The determinants of high school certification by exam are fundamentally different from the determinants of...

This paper estimates a dynamic model of schooling attainment to investigate the sources of discrepancy by race and ethnicity in college attendance. When the returns to college education rose, college enrollment of whites responded much more quickly than that of minorities. Parental income is a...

This paper examines an empirical regularity found in many societies: that family influences on the probability of transiting from one grade level to the next diminish at higher levels of education. We examine the statistical model used to establish the empirical regularity and the intuitive...

This paper analyzes the causes and consequences of the growing proportion of high-school-certified persons who achieve that status by exam certification rather than through high school graduation. Exam-certified high school equivalents are statistically indistinguishable from high school...

For randomized controlled trials (RCTs) of education interventions, estimates of associations between student and mediating teacher practice outcomes can help examine the extent to which the data support the study's conceptual model. They can also identify mediators most associated with student...

This paper examines both theoretically and empirically whether using ordinary least squares (OLS) multivariate regression models to estimate average treatment effects under experimental designs is justified by the Neyman model for causal inference. The paper finds that estimated standard errors...

This article develops a new approach for calculating appropriate sample sizes for school-based randomized controlled trials (RCTs) with binary outcomes using logit models with and without baseline covariates. The theoretical analysis develops sample size formulas for clustered designs in which...

In social policy evaluations, the multiple testing problem occurs due to the many hypothesis tests typically conducted across multiple outcomes and subgroups, which can lead to spurious impact findings. This article discusses a framework that balances Types I and II errors for addressing this...