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. 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

Appendix Table 4: Instrumental variable estimates of the effects of moving to reassigned school.

Results in top panel are from model that simultaneously instruments for each of the post-reassignment annual measures of “node reassigned, attends base” with the set of annual indicators for node reassignment

Year Reading Scores Math Scores Chronic Absenteeism Suspension
Year of Reassignment −0.029** (0.013) −0.023* (0.013) −0.002 (0.006) −0.011*** (0.003)
1 yr post 0.013 (0.013) 0.030** (0.013) 0.003 (0.006) −0.011*** (0.002)
2 yrs post 0.029** (0.013) 0.055** (0.013) 0.000 (0.006) 0.004* (0.002)
3 yrs post 0.018 (0.014) 0.066** (0.015) −0.009 (0.006) 0.002 (0.003)
*

p<0.10,

**

p<0.05,

***

p<0.01

Note: Data are drawn from WCPSS administrative records. Hteroskedastic robust standard errors clustered at the node-grade level presented in parentheses below coefficient estimate. Coefficients in each column are estimates of the effect of a student moving to their reassigned school on the outcome listed at the top of each column, and are from a single panel instrumental variables (IV) regression. In these regressions we instrument the potentially endogenous indicators for a student attending their reassigned school at time t (i.e. year of reassignment, one year post reassignment, etc.) with indicators that a student lives in a node that was reassigned t years ago. Models include covariates measuring subsequent node reassignments, the proportion of students reassigned in and out of a school, and measures of student special education status, sex, and race/ethnicity. Models also include fixed effects for node-grade and calendar year. See the discussion of equation (1) in the main text for further detail on the measures included in the model.