IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2011-74-3.html

Using Artificial Societies to Understand the Impact of Teacher Student Match on Academic Performance: The Case of Same Race Effects

Author

Listed:
  • Guillermo Montes

Abstract

This paper presents an agent-based model of the standard U.S. k-12th grade classroom using NetLogo. By creating an artificial society, we identify the casual implications of the same-race effect (a moderate sized academic boost to students whose teachers have the same race) on the national educational achievement trends. The model predicts sizeable achievement gaps at the national level, consistent in size with those documented by the US National Report Card (NAEP) stemming from moderate sized same race effects. In addition, matching effects are found to be a source of increased heterogeneity in academic performance for the minority group. These results hold for all teacher-student matching phenomena and have implications for educational policy at the aggregate level. Using artificial societies to disentangle the aggregate effects of hypothesized causes of the achievement gap is a promising strategy that merits further research.

Suggested Citation

  • Guillermo Montes, 2012. "Using Artificial Societies to Understand the Impact of Teacher Student Match on Academic Performance: The Case of Same Race Effects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(4), pages 1-8.
    • Handle: RePEc:jas:jasssj:2011-74-3
    as

    Download full text from publisher

    File URL: https://www.jasss.org/15/4/8/8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kukla-Acevedo, Sharon, 2009. "Do teacher characteristics matter? New results on the effects of teacher preparation on student achievement," Economics of Education Review, Elsevier, vol. 28(1), pages 49-57, February.
    2. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    3. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    4. Gary L. St. C. Oates, 2003. "Teacher‐Student Racial Congruence, Teacher Perceptions, and Test Performance," Social Science Quarterly, Southwestern Social Science Association, vol. 84(3), pages 508-525, September.
    5. Douglas N. Harris, 2009. "Would Accountability Based on Teacher Value Added Be Smart Policy? An Examination of the Statistical Properties and Policy Alternatives," Education Finance and Policy, MIT Press, vol. 4(4), pages 319-350, October.
    6. Ronald G. Ehrenberg & Daniel D. Goldhaber & Dominic J. Brewer, 1995. "Do Teachers' Race, Gender, and Ethnicity Matter? Evidence from the National Educational Longitudinal Study of 1988," ILR Review, Cornell University, ILR School, vol. 48(3), pages 547-561, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matt Kasman & Brynle Owen & Joshua Hayward, 2017. "A Community-based Complex Systems Approach to High School Completion," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(3), pages 267-276, May.
    2. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
    3. Annie TUBADJI & Vassilis ANGELIS & Peter NIJKAMP, 2019. "Micro-Cultural Preferences and Macro-Percolation of New Ideas: A NetLogo Simulation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 168-185, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Balcázar, Carlos Felipe & Nopo, Hugo R., 2014. "Broken Gears: The Value Added of Higher Education on Teachers' Academic Achievement," IZA Discussion Papers 8477, Institute of Labor Economics (IZA).
    2. Atsushi Inoue & Ryuichi Tanaka, 2023. "Do teachers’ college majors affect students’ academic achievement in the sciences? A cross-subfields analysis with student-teacher fixed effects," Education Economics, Taylor & Francis Journals, vol. 31(5), pages 617-631, September.
    3. Paul Bingley & Lorenzo Cappellari & Konstantinos Tatsiramos, 2014. "Family, Community and Long-Term Earnings Inequality," DISCE - Working Papers del Dipartimento di Economia e Finanza def017, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    4. Agar Brugiavini & Carlo Carraro & Matija Kovacic, 2014. "Academic Achievements: Grades versus Duration," Working Papers 2014:13, Department of Economics, University of Venice "Ca' Foscari".
    5. Tanaka, Ryuichi & Bessho, Shun-ichiro & Kawamura, Akira & Noguchi, Haruko & Ushijima, Koichi, 2020. "Determinants of Teacher Value-Added in Public Primary Schools: Evidence from Administrative Panel Data," IZA Discussion Papers 13146, Institute of Labor Economics (IZA).
    6. Stephan Litschig, 2008. "Financing local development: Quasi-experimental evidence from municipalities in Brazil, 1980-1991," Economics Working Papers 1142, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2012.
    7. Gregorio Gimenez & Luis Vargas-Montoya, 2021. "ICT Use and Successful Learning: The Role of the Stock of Human Capital," Mathematics, MDPI, vol. 9(14), pages 1-15, July.
    8. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    9. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    10. Norman Gemmell & Patrick Nolan & Grant Scobie, 2017. "Public sector productivity: Quality adjusting sector-level data on New Zealand schools," Working Papers 2017/02, New Zealand Productivity Commission.
    11. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    12. Oswald, Yvonne & Backes-Gellner, Uschi, 2014. "Learning for a bonus: How financial incentives interact with preferences," Journal of Public Economics, Elsevier, vol. 118(C), pages 52-61.
    13. Albarrán, Pedro & Hidalgo-Hidalgo, Marisa & Iturbe-Ormaetxe, Iñigo, 2020. "Education and adult health: Is there a causal effect?," Social Science & Medicine, Elsevier, vol. 249(C).
    14. Anderberg, Dan & Chevalier, Arnaud & Wadsworth, Jonathan, 2011. "Anatomy of a health scare: Education, income and the MMR controversy in the UK," Journal of Health Economics, Elsevier, vol. 30(3), pages 515-530, May.
    15. Arsene Mouongue Kelly & Beatrice Laure Toukap Yimele & Nidel Lolita Wassou Tchieu & Pascal Ndyanabo Rutazihana, 2023. "Access to Electricity and Primary Education Nexus in Central Africa," Journal of Regional Economics, Anser Press, vol. 2(1), pages 26-41, June.
    16. Luc Behaghel & Clément de Chaisemartin & Marc Gurgand, 2017. "Ready for Boarding? The Effects of a Boarding School for Disadvantaged Students," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 140-164, January.
    17. Kai Hong & Peter A. Savelyev & Kegon T. K. Tan, 2020. "Understanding the Mechanisms Linking College Education with Longevity," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 371-400.
    18. Black, Sandra E. & Lincove, Jane & Cullinane, Jennifer & Veron, Rachel, 2015. "Can you leave high school behind?," Economics of Education Review, Elsevier, vol. 46(C), pages 52-63.
    19. Dinçer, Mehmet Alper & Kaushal, Neeraj & Grossman, Michael, 2014. "Women’s Education: Harbinger of Another Spring? Evidence from a Natural Experiment in Turkey," World Development, Elsevier, vol. 64(C), pages 243-258.
    20. Grytten, Jostein & Skau, Irene, 2020. "Educational inequalities in access to fixed prosthodontic treatment in Norway. Causal effects using the introduction of a school reform as an instrumental variable," Social Science & Medicine, Elsevier, vol. 260(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2011-74-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.