Enrollment Data Year of Major Plan Implementation

effects of desegregation plans on white enrollment presented in Section IV suggest that white enrollment losses related to desegregation plans were large—about 15 to 20 log points after ten years. In addition, desegregation plans that increased whites’ exposure to nonwhites more and the number of nearby school districts were impor- tant predictors of white flight. This relationship holds even controlling for other fac- tors predictive of declining population during this period—the manufacturing share of enrollment in 1960 and the change in population between 1960 and 1970. If desegregation plans did not affect white enrollment, we would not expect charac- teristics of desegregation plans and the number of districts to be related to white flight. Court-ordered desegregation plans increased racial integration in schools, dramati- cally in many cases. However, in many districts, desegregation plans’ ability to reduce segregation effectively in the long run was limited by the decision to exclude the much-whiter suburban districts. The policies were generally enforced and were suc- cessful in many districts, but for districts that were surrounded by many other public school districts, short-term reductions in segregation were largely undone by the behavioral response of white families. Although we would ultimately like to know the effect of desegregation plans on the educational and labor market outcomes of the minority students they were designed to help, changes in minorities’ exposure to whites is an important intermediate meas- ure of the success of these plans. In addition, the white enrollment losses documented here may have implications for other aspects of desegregation plans’ success. For example, possible negative effects of desegregation plans on property values would make it more difficult for districts to raise revenue. Appendix Data

A. Enrollment Data

Enrollment by race at the school level for years before 1987 was obtained from Unicon Research Corporation. The data were originally collected for a report of the U.S. Commission on Civil Rights Welch and Light, 1987. Most of these data were collected from the following sources: the Office of Civil Rights of the U.S. Department of Education, Tauber-Wilson tapes, and individual school districts. Welch and Light indicate the district-years for which there is adequate data by race at the school level to calculate segregation indexes; I include these district-years in the sam- ple. Data for 1987 to 1998 were taken from the National Center for Education Statistics NCES Common Core of Data CCD Public School Universe PSU, which includes enrollment by race at the school level. Some states did not provide complete information on enrollment by race in all years particularly the earlier years. If more than 5 percent of a district’s enrollment in a par- ticular year was in schools that reported incomplete information on enrollment by race, I dropped the observation for that district-year. A school was defined as having insuf- ficient data on enrollment by race if the sum of enrollment by race was less than 90 per- Reber 581 cent of the reported total enrollment. In general, entire states were missing racial breakdowns, so the precise cutoffs used are not important.

B. Year of Major Plan Implementation

Welch and Light list all of the plans they identified for each district their Appendix Table A3. I use the year of the first plan they classify as “major” with one exception. Conversations with officials familiar with the San Jose school districts’ desegregation plans indicate that the district implemented a major plan in 1986 after the Welch and Light report; I therefore use 1986 as the implementation date for San Jose. The trends for the dissimilarity index show large breaks in segregation around the time of major plan implementation for most districts, suggesting that this is a reasonable measure of when the policy was implemented. The districts and implementation year are listed in Table A1.

C. Number of School Districts in Metropolitan Area