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Research Article

An agent-based model of school tracking, accountability, and segregation

ORCID Icon &
Pages 524-538 | Received 21 Mar 2022, Accepted 27 Feb 2024, Published online: 18 Mar 2024

References

  • Allen, R., & Vignoles, A. (2007). What should an index of school segregation measure? Oxford Review of Education, 33(5), 643–668. https://doi.org/10.1080/03054980701366306
  • Alvaredo, F., Chancel, L., Piketty, T., Saez, E., & Zucman, G. (2018) World inequality database. Retrieved June, 2021, from https://wid.world.
  • Benabou, R. (1993). Workings of a city: Location, education, and production. The Quarterly Journal of Economics, 108(3), 619–652. https://doi.org/10.2307/2118403
  • Bernelius, V., & Vilkama, K. (2019). Pupils on the move: School catchment area segregation and residential mobility of urban families. Urban Studies, 56(15), 3095–3116. https://doi.org/10.1177/0042098019848999
  • Bianchi, F., & Squazzoni, F. (2019). Modelling and social science: Problems and promises. In E. A. Moallemi, & F. J. de Haan (Eds.), Modelling transitions: Virtues, vices, Visions of the future (pp. 60–74). Routledge.
  • Black, S. E., & Machin, S. (2011). Housing Valuation and School Performance. In E. Hanushek, S. Machin, & L. Woessmann (Eds.), Chap. 10 in Handbook in Economics of Education (Vol. 3, pp. 485–519). Elsevier.
  • Boero, R., & Squazzoni, F. (2005). Does empirical embeddedness matter? Methodological issues on agent-based models for analytical social science. Journal of Artificial Societies and Social Simulation, 8(4), 1–6. https://www.jasss.org/8/4/6.html
  • Bol, T., Witschge, J., Van de Werfhorst, H. G., & Dronkers, J. (2014). Curricular tracking and central examinations: Counterbalancing the impact of social background on student achievement in 36 countries. Social Forces, 92(4), 1545–1572. https://doi.org/10.1093/sf/sou003
  • Burger, K. (2019). The socio-spatial dimension of educational inequality: A comparative European analysis. Studies in Educational Evaluation, 62, 171–186. https://doi.org/10.1016/j.stueduc.2019.03.009
  • Burgess, S., Greaves, E., & Vignoles, A. (2019). School choice in England: Evidence from national administrative data. Oxford Review of Education, 45(5), 690–710. https://doi.org/10.1080/03054985.2019.1604332
  • Chmielewski, A. K. (2014). An international comparison of achievement inequality in within-and between-school tracking systems. American Journal of Education, 120(3), 293–324. https://doi.org/10.1086/675529
  • Chmielewski, A. K., & Savage, C. (2015). Socioeconomic segregation between schools in the United States and Latin America, 1970–2012. In G. W. McCarthy, G. K. Ingram, & S. A. Moody (Eds.), Land and the city (pp. 394–423). Lincoln Institute of Land Policy.
  • Díaz, D. A., Jiménez, A. M., & Larroulet, C. (2019). An agent-based model of school choice with information asymmetries. Journal of Simulation, 15(1–2), 1–18. https://doi.org/10.1080/17477778.2019.1679674
  • Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American sociological review, 20(2), 210–217.
  • Entorf, H., & Lauk, M. (2008). Peer effects, social multipliers and migrants at school: An international comparison. Journal of Ethnic and Migration Studies, 34(4), 633–654. https://doi.org/10.1080/13691830801961639
  • Epstein, J. M. (2008). Why model? Journal of Artificial Societies and Social Simulation, 11(4), 12.
  • Erikson, R., Goldthorpe, J. H., & Portocarero, L. (2010). Intergenerational class mobility and the convergence thesis: England, France and Sweden 1. The British Journal of Sociology, 61(s1), 185–219. https://doi.org/10.1111/j.1468-4446.2009.01246.x
  • Figlio, D. N., & Page, M. E. (2002). School choice and the distributional effects of ability tracking: Does separation increase inequality? Journal of Urban Economics, 51(3), 497–514. https://doi.org/10.1006/juec.2001.2255
  • Franck, R. (Ed.). (2013). The explanatory power of models: Bridging the gap between empirical and theoretical research in the social sciences (Vol. 1). Springer Science & Business Media.
  • Frankel, D. M., & Volij, O. (2007). Measuring segregation. Economics Working Papers (2002–2016). 180. http://lib.dr.iastate.edu/econ_las_workingpapers/180.
  • Fuchs, T., & Wößmann, L. (2007). What accounts for international differences in student performance? A re-examination using PISA data. Empirical Economics, 32, 433–62.
  • Fujita, K., & Maloutas, T. (Eds.). (2016). Residential segregation in comparative perspective: Making sense of contextual diversity. Routledge.
  • Fu, F., Rosenbloom, D. I., Wang, L., & Nowak, M. A. (2011). Imitation dynamics of vaccination behaviour on social networks. Proceedings of the Royal Society B: Biological Sciences, 278(1702), 42–49. https://doi.org/10.1098/rspb.2010.1107
  • Gamoran, A., & Mare, R. D. (1989). Secondary school tracking and educational inequality: Compensation, reinforcement, or neutrality? American Journal of Sociology, 94(5), 1146–1183. https://doi.org/10.1086/229114
  • Giambona, F., & Porcu, M. (2018). School size and students’ achievement. Empirical evidences from PISA survey data. Socio-Economic Planning Sciences, 64, 66–77. https://doi.org/10.1016/j.seps.2017.12.007
  • Goeree, J. K., Holt, C. A., & Palfrey, T. R. (2016). Quantal response equilibrium: A stochastic theory of games. Princeton University Press.
  • Gorard, S. (2009). Does the index of segregation matter? The composition of secondary schools in England since 1996. British Educational Research Journal, 35(4), 639–652.
  • Gorard, S., & Smith, E. (2004). An international comparison of equity in education systems. Comparative Education, 40(1), 15–28. https://doi.org/10.1080/0305006042000184863
  • Gortázar, L., Mayor, D., Montalbán, J., Sarsanedas, E., Payà, A., Mañé, L., Pedro-Botet, J., & Benaiges, D. (2020). School choice priorities and school segregation: Evidence from Madrid (no. 1/2020). BMJ Open Diabetes Research and Care, 8(1). https://doi.org/10.1136/bmjdrc-2020-001254
  • Grimm, V., Railsback, S. F., Vincenot, C. E., Berger, U., Gallagher, C., DeAngelis, D. L., Edmonds, B., Ge, J., Giske, J., Groeneveld, J., Johnston, A. S. A., Milles, A., Nabe-Nielsen, J., Polhill, J. G., Radchuk, V., Rohwäder, M.-S., Stillman, R. A., Thiele, J. C., & Ayllón, D. (2020). The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism. Journal of Artificial Societies and Social Simulation, 23(2). https://doi.org/10.18564/jasss.4259
  • Guntermann, K. L., & Colwell, P. F. (1983). Property values and accessibility to primary schools. Real Estate Appraiser and Analyst, 49(1), 62–68.
  • Gutiérrez, G., Jerrim, J., & Torres, R. (2020). School segregation across the world: Has any progress been made in reducing the separation of the rich from the poor? The Journal of Economic Inequality, 18(2), 157–179. https://doi.org/10.1007/s10888-019-09437-3
  • Hallinan, M. T. (1994). Tracking: From theory to practice. Sociology of Education, 67(2), 79–84. https://doi.org/10.2307/2112697
  • Hansen, K. (2014). Moving house for education in the pre‐school years. British Educational Research Journal, 40(3), 483–500.
  • Hanushek, E. A., and Wößmann, L. (2006). Does early tracking affect educational inequality and performance? differences-in-differences evidence across countries. The Economic Journal, 116(510), C63–C76.
  • Hulchansky, D. (2010). The three cities in Toronto: Income polarization among Toronto’s neighbourhoods, 1970–2005. University of Toronto.
  • Hutchens, R. (2001). Numerical measures of segregation: Desirable properties and their implications. Mathematical Social Sciences, 42(1), 13–29.
  • Janmaat, J. G. (2020). School social segregation and social inequalities in political engagement among 16 to 20 year olds in fourteen countries. Research Papers in Education, 37(1), 1–22. https://doi.org/10.1080/02671522.2020.1789716
  • Jenkins, S. P., Micklewright, J., & Schnepf, S. V. (2008). Social segregation in secondary schools: How does England compare with other countries? Oxford Review of Education, 34(1), 21–37. https://doi.org/10.1080/03054980701542039
  • Johansson, O. (2022). How do independent school admission rules affect school segregation?: An agent-based model in a Swedish context. Linköping University, Department of Management and Engineering, LIU-IEI-FIL-A–22/03962—SE.
  • Johnson, J. J., IV, Padilla, J. J., & Diallo, S. Y. (2021). Closing the academic achievement gap: A system dynamics study. Journal of Simulation, 15(4), 284–308. https://doi.org/10.1080/17477778.2020.1718021
  • Jürges, H., Schneider, K., & Büchel, F. (2005). The effect of central exit examinations on student achievement: Quasi-experimental evidence from TIMSS Germany. Journal of the European Economic Association, 3(5), 1134–1155. https://doi.org/10.1162/1542476054729400
  • Klaauw, H., Sóvágó, S., & Oosterbeek, B. (2019). Why are schools segregated? Evidence from the secondary-school match in Amsterdam. Journal of Health Economics, 63, 145–158. https://doi.org/10.1016/j.jhealeco.2018.11.001
  • Langenkamp, A. G., & Carbonaro, W. (2018). How school socioeconomic status affects achievement growth across school transitions in early educational careers. Sociology of Education, 91(4), 358–378. https://doi.org/10.1177/0038040718802257
  • Lavrijsen, J., & Nicaise, I. (2016). Educational tracking, inequality and performance: New evidence from a differences-in-differences technique. Research in Comparative & International Education, 11(3), 334–349.
  • Leithwood, K., & Jantzi, D. (2009). A review of empirical evidence about school size effects: A policy perspective. Review of Educational Research, 79(1), 464–490. https://doi.org/10.3102/0034654308326158
  • Leschnig, L., Schwerdt, G., & Zigova, K. (2022). Central exams and adult skills: Evidence from PIAAC. Economics of Education Review, 90, 102289. https://doi.org/10.1016/j.econedurev.2022.102289
  • Levačić, R., & Woods, P. A. (2002). Raising school performance in the league tables (part 1): Disentangling the effects of social disadvantage. British Educational Research Journal, 28(2), 207–226. https://doi.org/10.1080/01411920120122158
  • Manzo, G. (2013). Educational choices and social interactions: A formal model and a computational test. In Class and stratification analysis (Vol. 30, pp. 47–100). Emerald Group Publishing Limited.
  • Marlin, B., & Sohn, H. (2016). Using DEA in conjunction with designs of experiments: An approach to assess simulated futures in the Afghan educational system. Journal of Simulation, 10(4), 272–282. https://doi.org/10.1057/jos.2015.14
  • Massey, D. S., & Denton, N. A. (1988). The dimensions of residential segregation. Social Forces, 67(2), 281–315. https://doi.org/10.2307/2579183
  • McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). Academic Press.
  • McKelvey, R. D., & Palfrey, T. R. (1998). Quantal response equilibria for extensive form games. Experimental Economics, 1(1), 9–41. https://doi.org/10.1023/A:1009905800005
  • Mickelson, R. A., & Nkomo, M. (2012). Integrated schooling, life course outcomes, and social cohesion in multiethnic democratic societies. Review of Research in Education, 36(1), 197–238. https://doi.org/10.3102/0091732X11422667
  • Millington, J., Butler, T., & Hamnett, C. (2014). Aspiration, attainment and success: An agent-based Model of distance-based school allocation. Journal of Artificial Societies and Social Simulation, 17(1), 10. https://doi.org/10.18564/jasss.2332
  • Murillo, F. J., Hernandez-Castilla, R., Martínez-Garrido, C., & Hidalgo, N. (2018). Una Panoramica de la Segregacion Social de los Centros de Educacion Secundaria en Iberoamerica. In F. J. Murillo (Ed.), Avances en Democracia y Liderazgo Distribuido en Educacion: Actas del II Congreso Internacional de Liderazgo y Mejora de la Educacion (pp. 559–564).
  • OECD. (2018). Equity in education: Breaking down barriers to social mobility. OECD Publishing. https://doi.org/10.1787/9789264073234-en
  • OECD. (2020). PISA 2018 results (volume V): Effective policies, successful schools. OECD Publishing. https://doi.org/10.1787/ca768d40-en
  • Owens, A. (2017). Racial residential segregation of school-age children and adults: The role of schooling as a segregating force. RSF: The Russell Sage Foundation Journal of the Social Sciences, 3(2), 63–80. https://doi.org/10.7758/rsf.2017.3.2.03
  • Palardy, G. J. (2015). High school socioeconomic composition and college choice: Multilevel mediation via organizational habitus, school practices, peer and staff attitudes. School Effectiveness and School Improvement, 26(3), 329–353. https://doi.org/10.1080/09243453.2014.965182
  • Parker, P. D., Jerrim, J., Schoon, I., & Marsh, H. W. (2016). A multination study of socioeconomic inequality in expectations for progression to higher education: The role of between-school tracking and ability stratification. American Educational Research Journal, 53(1), 6–32.
  • Pepper, G. V., & Nettle, D. (2017). The behavioural constellation of deprivation: Causes and consequences. Behavioral and Brain Sciences, 40, e314. https://doi.org/10.1017/S0140525X1600234X
  • Reichelt, M., Collischon, M., & Eberl, A. (2019). School tracking and its role in social reproduction: Reinforcing educational inheritance and the direct effects of social origin. The British Journal of Sociology, 70(4), 1323–1348.
  • Riedel, A., Schneider, K., Schuchart, C., & Weishaupt, H. (2010). School choice in German primary schools. How binding are school districts? Journal for Educational Research Online, 2(1), 94–120.
  • Strello, A., Strietholt, R., & Steinmann, I. (2022). Does tracking increase segregation? International evidence on the effects of between-school tracking on social segregation across schools. Research in Social Stratification and Mobility, 78, 100689. https://doi.org/10.1016/j.rssm.2022.100689
  • Tammaru, T., Marcin´czak, S., Aunap, R., van Ham, M., & Janssen, H. (2020). Relationship between income inequality and residential segregation of socioeconomic groups. Regional Studies, 54(4), 450–461. https://doi.org/10.1080/00343404.2018.1540035
  • Tammaru, T., Marcińczak, S., van Ham, M., & Musterd, M. (2016). Socioeconomic segregation in European capital cities: East meets west. Routledge.
  • Thomson, S. (2018). Achievement at school and socioeconomic background—an educational perspective. Science of Learning, 3(1), 1–2. https://doi.org/10.1038/s41539-018-0022-0
  • Thrupp, M. (1995). The school mix effect: The history of an enduring problem in educational research, policy and practice. British Journal of Sociology of Education, 16(2), 183–203. https://doi.org/10.1080/0142569950160204
  • Van de Werfhorst, H. G., & Mijs, J. J. (2010). Achievement inequality and the institutional structure of educational systems: A comparative perspective. Annual Review of Sociology, 36(1), 407–428. https://doi.org/10.1146/annurev.soc.012809.102538
  • Van Ewijk, R., & Sleegers, P. (2010). The effect of peer socioeconomic status on student achievement: A meta-analysis. Educational Research Review, 5(2), 134–150. https://doi.org/10.1016/j.edurev.2010.02.001
  • Van Ham, M., Marcińczak, S., Tammaru, T., & Musterd, S. (2015). A multi-factor approach to understanding socio-economic segregation in European capital cities. In T. Tammaru, M. van Ham, S. Marcińczak, & S. Musterd (Eds.), Socio-economic segregation in European Capital Cities (pp. 1–29). East Meets West. Taylor & Francis.
  • Woessmann, L. (2005). The effect heterogeneity of central examinations: Evidence from TIMSS, TIMSS‐Repeat and PISA. Education Economics, 13(2), 143–169. https://doi.org/10.1080/09645290500031165