Table 10 Regression Discontinuity Estimates of Effect of Admission to High-Cutoff non-IPN Schools on School Characteristics and Student Outcomes
Dependent VariableMean COMIPEMS Score (1)Mean Middle School GPA (2)Mean Parental Education (yrs.) (3)Distance from Home to School (km) (4)Dropout (Not Taking ENLACE Exam) (5)ENLACE Math Score (6)ENLACE Spanish Score (7)
Score ≥ cutoff10.981***0.168***0.630***−0.504**−0.030**0.014−0.017
(0.5814)(0.0193)(0.0486)(0.2159)(0.0135)(0.0202)(0.0241)
[0.00][0.00][0.02][0.00][0.01][0.54][0.47]
Observations18,13021,65218,13030,07543,26624,49825,966
Adjusted R-squared0.6770.7880.6810.0600.0960.1410.106
Mean of dependent variable 1 point below cutoff67.0617.99910.3166.6800.4530.1120.299
Bandwidth5.15.65.48.811.513.414.1
  • Notes: Estimates are from local linear regressions, including piecewise-linear terms in COMIPEMS score and cutoff school-year fixed effects. The edge kernel is used in each regression and in computation of the corresponding optimal Imbens–Kalyanaraman bandwidth. Dependent variables in columns 1–3 are mean characteristics of all students admitted to the student’s admitted school in his admission year. Standard errors clustered at the admitted high school level are in parentheses. Wild cluster bootstrapped p-values, clustered at the centered COMIPEMS score level, are in brackets.

  • * p < 0.10,

  • ** p < 0.05,

  • *** p < 0.01.