Skip to main content
. Author manuscript; available in PMC: 2022 Jul 15.
Published in final edited form as: J Policy Anal Manage. 2021 Aug 31;40(4):1197–1229. doi: 10.1002/pam.22326

Table 7:

Estimated spillover effects of reassignments into and out of non-reassigned students’ schools

Math Achievement Reading Achievement Chronic Absenteeism Suspension
Effect on Non-reassigned Students in Receiving Schools Linear 0.016*** (0.003) 0.006 (0.003) −0.005*** (0.001) −0.001 (0.001)
Quadratic −0.033*** (0.007) −0.014 (0.007) 0.007** (0.003) 0.001 (0.001)
Effect on Non-reassigned Students in Contributing Schools Linear −0.067*** (0.004) −0.046*** (0.004) 0.003* (0.002) −0.007*** (0.001)
Quadratic 0.173*** (0.011) 0.113*** (0.010) −0.008 (0.005) 0.017*** (0.003)
N (student-year) 565,158 563,033 663,878 1,071,138
***

p<0.001,

**

p<0.01,

*

p<0.05

Note: Data are drawn from WCPSS administrative records. Math and reading achievement data are available for students in grades 3–8; chronic absenteeism data are for students in all grades in years 2005–2010; suspension data are available for students in all grades and years with administrative data. Effect on Non-reassigned Students in Receiving Schools is estimated as (ζpist,k=0in) in Equation (1); see Equation (2) for more detail on this variable’s construction. Effect on Non-reassigned Students in Contributing Schools is estimated as (λpist,k=0out) in Equation (2); see Equation (3) for more detail on this variable’s construction. Both spillover variables are scaled such that a 1 unit shift represents a 10 percentage point shift in the proportion of reassigned students. All models include controls for student race/ethnicity, gender, special education, and ELL status, effects of reassignment event history, node-by-grade fixed effects, year fixed effects.