Found in Translation? The Effects of Dual Language Immersion Programs (Job Market Paper)

Abstract: Dual Language Immersion (DLI) programs are educational models where students learn core academic subjects in both English and a partner language. They aim to support the needs of English learners (ELs) by promoting bilingualism in English and their native language. Despite their growing popularity, there is little causal evidence of their effects on students' short- and long-run outcomes. Using longitudinal student-level data from Texas, I exploit the gradual expansion of DLI programs across schools in a staggered difference-in-differences framework and estimate their effect on short and long-run educational outcomes including test scores, EL reclassification, college preparation and enrollment. Students drawn to DLI programs would have counterfactually been served by transitional bilingual programs, which use less native language instruction, serve ELs only in all-EL classrooms, and aim to graduate students quickly into English-only instruction. I find that DLI programs raise ELs’ reading scores and reclassification rates, with gains concentrated in schools where ELs are integrated with non-ELs. However, these gains do not translate into higher long-term educational attainment for ELs. Non-ELs, by contrast, see gains in both test scores and college application and enrollment. Overall, my findings indicate that DLI programs improve ELs' academic achievement and English proficiency but suggest that improving English proficiency and academic achievement alone may not be sufficient in increasing college enrollment among ELs.

When Constraints Bind: The Effects of the California DREAM Act Application on Undocumented Student Success (with Kassandra Hernández)

Abstract: Undocumented students in the United States are ineligible for federal financial aid. Yet, data constraints make estimating the effects of these policies difficult. In this paper, we study the effect of the California DREAM Act, which granted undocumented students access to Cal Grants, the state's primary form of financial aid, through the California Dream Act Application (CADAA). Equipped with the universe of CADAA applications linked to enrollment data from the National Student Clearinghouse, we overcome the need to proxy for immigration status as is usually done in the literature and are thus able to produce better estimates of the effects of aid for this population. Using a regression discontinuity design (RDD), we first present reduced form estimates of the intent-to-treat (ITT) effect—i.e., the effect of scoring above annual Cal Grant offer cutoffs on various educational outcomes. While we observe minimal noncompliance, we also implement a fuzzy RDD to estimate the local average treatment effect (LATE), where a student's score relative to the cutoff instruments for whether they were actually offered aid. Ultimately, we find evidence that scoring above the offer threshold affects awardees' postsecondary outcomes.