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Schools, Neighborhoods and Selection: Outcomes Across Metropolitan Los Angeles

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Abstract

What is the relationship between school segregation and neighborhood segregation across school districts in Los Angeles County, and are school district outcomes on reading and mathematics scores related to levels of school segregation across these districts? We compute segregation scores using US tract level data for 2000 and use reading and mathematics scores from California State tests. Data from the Los Angeles family and neighborhood survey are used to track individual residential changes and differences in the associated Woodcock Johnson scores. We show that there is a close link between levels of school segregation and neighborhood segregation and that many suburban school districts are relatively integrated across both neighborhoods and schools. When we examine average school district outcomes on reading and mathematics scores we do not find any relationship with levels of segregation. At the same time there is clear evidence of spatial sorting with poorer and lower scoring children moving into school districts (or zones with poorer achieving schools). The multi-level models of segregation and achievement show that the variance in achievement levels across districts is significantly greater than across schools within districts.

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Notes

  1. Los Angeles is representative of a growing range of metropolitan districts which have diverse populations of Hispanics, Blacks, Whites and Asians as well as Native American and Pacific Island groups.

  2. We use dissimilarity indices because of their broad familiarity and their previous use in similar research (Saporito and Sohoni 2006). Sample sizes preclude the analysis of other comparisons between groups.

  3. The scatter plot is available from the authors.

References

  • Andersson, Eva., Östh, John., & Malmberg, B. (2010). Ethnic segregation and performance inequality in the Swedish school system: A regional perspective. Environment and Planning A, 42, 2674–2686.

    Article  Google Scholar 

  • Armor, D. (1995). Forced justice: School desegregation and the law. New York: Oxford University Press.

    Google Scholar 

  • Black, D. (2008). The uncertain future of school desegregation and the importance of goodwill, good sense and a misguided decision. Catholic University Law Review, 57, 947–990.

    Google Scholar 

  • Brannstrom, L. (2008). Making their mark: The effects of neighborhood and upper secondary school on educational achievement. European Sociological Review, 24, 463–478.

    Article  Google Scholar 

  • Clark, W. A. V. (1987). School desegregation and white flight: A re-examination and case study. Social Science Research, 16, 211–228.

    Article  Google Scholar 

  • Clark, W. A. V. (1988). Does school desegregation policy stimulate residential integration: Evidence from a case study. Urban Education, 23, 51–67.

    Article  Google Scholar 

  • Clark, W. A. V. (2002) School desegregation and demographic change. In C. Rossell, D. Armor, & H. Walberg (Eds.), School desegregation in the 21st Century (pp. 119–145). New York: Greenwood Press.

  • Clark, W. A. V., & Ledwith, V. (2007). How much does income matter in neighborhood choice? Population Research and Policy Review, 26, 145–161.

    Article  Google Scholar 

  • Clotfelter, C. T. (1999). Public school segregation in metropolitan areas. Land Economics, 75, 487–504.

    Article  Google Scholar 

  • Clotfelter, C. T. (2001). Are whites still ‘fleeing’? Racial patterns and enrollment shifts in urban public schools, 1987–1996. Journal of Policy Analysis and Management, 20, 199–221.

    Article  Google Scholar 

  • Coleman, J. S., Campbell, E., Mood, A., Hobson, C., McPartland, J., Weinfeld, F., & York, R. (1966). Equality of educational opportunity. Washington D.C.: Government Printing Office.

  • Fairlie, R. W., & Resch, A. M. (2002). Is there “White flight” into private schools? Evidence from the national educational longitudinal survey. The Review of Economics and Statistics, 84(1), 21–33.

    Article  Google Scholar 

  • Finney, N., & Simpson, L. (2009). Sleepwalking into segregation: Challenging the myths about race and migration. Bristol: Policy Press.

    Google Scholar 

  • Frankenburg, E., Lee, C., & Orfield, G. (2003). A multiracial society with segregated schools: Are we losing the dream? Cambridge, MA: The Civil Rights Project, Harvard University.

  • Freeman v Pitts (1992). 118 l. Ed 2nd 108.

  • Hamnett, C., Ramsden, M., & Butler, T. (2007). Social background, ethnicity, school composition and educational attainment in East London. Urban Studies, 44, 1255–1280.

    Article  Google Scholar 

  • Harris, R., & Johnston, R. (2008). Primary schools, markets and choice: Studying polarization and the core catchment areas of schools. Applied Spatial Analysis, 1, 59–84.

    Article  Google Scholar 

  • Harris, R., Johnston, R. J., & Burgess, S. M. (2007). Neighborhoods, ethnicity and school choice: Developing a statistical framework for geodemographic analysis. Population Research and Policy Review, 26, 553–579.

    Google Scholar 

  • Johnston, R. J., Wilson, D., & Burgess, S. (2004). School segregation in multiethnic England. Ethnicities, 4(2), 237–265.

    Article  Google Scholar 

  • Ledwith, V. (2009). Open enrolment and student sorting in public schools: Evidence from Los Angeles County. Environment and Planning A, 41, 1109–1128.

    Article  Google Scholar 

  • Ledwith, V., & Clark, W. A. V. (2008). The effect of the residential mosaic and white flight on public school composition: Evidence from Los Angeles County. Urban Geography, 28, 1–20.

    Google Scholar 

  • Lee, V., & Burkam, D. (2002). Inequality at the starting gate: Social background differences in achievement as children begin school. Washington: Economic Policy Institute.

  • Los Angeles family and neighborhood survey. (2001). Rand Corporation, Santa Monica, CA. Retrieved from http://www.lasurvey.rand.org.

  • Nechyba, T. (2003). School finance, spatial income segregation, and the nature of communities. Journal of Urban Economics, 54, 61–88.

    Article  Google Scholar 

  • Nelson, E. (2009). Examining the costs of diversity. University of Miami Law Review, 63, 577–603.

    Google Scholar 

  • Oberti, M. (2007). Social and school differentiation in urban space: Inequalities and local configurations. Environment and Planning A, 39, 208–227.

    Article  Google Scholar 

  • Orfield, G. (1978). Must we bus?. Washington, DC: Brookings Foundation.

    Google Scholar 

  • Orfield, G., & Monfort, F. (1992). The status of school desegregation: The next generation. Alexandria, VA: National School Boards Assn.

  • Parents v Seattle School District No. 1. (2007). 551U.S. 701, 2007.

  • Reynolds, A., Chen C., & Herbers, J. (2009). School mobility and educational success: A research synthesis and evidence on prevention. Paper at the Workshop on the Impact of Mobility and Change on the lives of Young Children. National Research Council, June 2009, Washington, DC.

  • Rossell, C. (1990). The carrot of the stick for school desegregation policy. Urban Affairs Quarterly, 25, 474–499.

    Google Scholar 

  • Rossell, C. (1995). Controlled choice desegregation plans: Not enough choice and too much control. Urban Affairs Review, 31, 43–76.

    Google Scholar 

  • Rossell, C., Armor, D., & Walberg H. (2002). School desegregation in the 21st century (pp. 119–145). New York: Greenwood Press.

  • Saporito, S. (2003). Private choices, public consequences: Magnet school choice and segregation by race and poverty. Social Problems, 50(2), 181–203.

    Article  Google Scholar 

  • Saporito, S., & Sohoni, D. (2006). Coloring outside the lines: Racial segregation in public schools and their attendance boundaries. Sociology of Education, 79, 81–105.

    Article  Google Scholar 

  • Shaw, T. (2007). In landmark ruling supreme court strikes down voluntary desegregation in public schools, June 29, 2007 (www.democracynow.org).

  • Sibieta, L., Chowdry, H., & Muriel, A. (2008). Level playing field. The implications of school funding. London: CfBT Education Trust (www.cfbt.com).

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Boston, MA: Allyn and Bacon.

    Google Scholar 

  • Webber, R., & Butler, T. (2007). Classifying pupils by where they live: How well does this predict variations in their GCSE results. Urban Studies, 44, 1229–1253.

    Article  Google Scholar 

  • Yinger, J. (1995). Closed doors, opportunities lost. New York: Russell Sage Foundation.

    Google Scholar 

Download references

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Correspondence to William A. V. Clark.

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Clark, W.A.V., Maas, R. Schools, Neighborhoods and Selection: Outcomes Across Metropolitan Los Angeles. Popul Res Policy Rev 31, 339–360 (2012). https://doi.org/10.1007/s11113-012-9234-9

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