High School Exit Examinations and the Schooling Decisions of Teenagers: A Multidimensional Regression Discontinuity Analysis

Working Paper: NBER ID: w17112

Authors: John P. Papay; John B. Willett; Richard J. Murnane

Abstract: We ask whether failing one or more of the state-mandated high-school exit examinations affects whether students graduate from high school. Using a new multi-dimensional regression-discontinuity approach, we examine simultaneously scores on mathematics and English language arts tests. Barely passing both examinations, as opposed to failing them, increases the probability that students graduate by 7.6 percentage points. The effects are greater for students scoring near each cutoff than for students further away from them. We explain how the multi-dimensional regression-discontinuity approach provides insights over conventional methods for making causal inferences when multiple variables assign individuals to a range of treatments.

Keywords: high school exit examinations; graduation rates; regression discontinuity

JEL Codes: C10; C14; I20; I21; I28; J24


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
barely passing both examinations (Y40)probability of graduating (A23)
passing ELA examination (A21)probability of graduating for students who failed mathematics test (C12)
passing ELA examination (A21)probability of graduating for students who passed mathematics test (C12)
passing ELA examination (A21)passing mathematics examination (C12)

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