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What Makes a Test Score? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education

Author

Listed:
  • Francis Kramarz
  • Stephen Machin
  • Amine Ouazad

Abstract

This study develops an analytical framework for evaluating the respective contributions of pupils, peers, and school quality in affecting educational achievement. We implement this framework using rich data from England that matches pupils to their primary schools. The dataset records all English pupils and their test scores in Key Stage 1 (age 7) and Key Stage 2 (age 11) national examinations. The quality of the data source, coupled with our econometric techniques, allows us to assess the respective importance of different educational inputs. We can distinguish school effects that affect all pupils irrespective of their year and grade of study, from school-grade-year effects. Identification of pupil effects separately from these school-grade-year effects is achieved because students are mobile across schools. Peer effects are identified assuming variations in school-grade-year group composition in adjacent years are exogenous. We estimate three different specifications, the most general allowing Key Stage 2 results to be affected by the Key Stage 1 school(-grade-year) at which the pupil studied. We discuss the validity of our various exogeneity assumptions. Estimation results show statistically significant pupil ability, school and peer effects. Our analysis suggests the following ranking: pupils' ability and background are more important than school time-invariant inputs. Peer effects are significant, but small.

Suggested Citation

  • Francis Kramarz & Stephen Machin & Amine Ouazad, 2009. "What Makes a Test Score? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education," CEE Discussion Papers 0102, Centre for the Economics of Education, LSE.
    • Handle: RePEc:cep:ceedps:0102
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    1. Joshua D. Angrist & Kevin Lang, 2002. "How Important are Classroom Peer Effects? Evidence from Boston's Metco Program," NBER Working Papers 9263, National Bureau of Economic Research, Inc.
    2. Blundell, Richard & Robin, Jean Marc, 1999. "Estimation in Large and Disaggregated Demand Systems: An Estimator for Conditionally Linear Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 209-232, May-June.
    3. Woodcock, Simon D., 2008. "Wage differentials in the presence of unobserved worker, firm, and match heterogeneity," Labour Economics, Elsevier, vol. 15(4), pages 771-793, August.
    4. Janet Currie, 2001. "Early Childhood Education Programs," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 213-238, Spring.
    5. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    6. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    7. Eliana Garces & Duncan Thomas & Janet Currie, 2002. "Longer-Term Effects of Head Start," American Economic Review, American Economic Association, vol. 92(4), pages 999-1012, September.
    8. Stephen Machin & Anna Vignoles, 2005. "What's the Good of Education?," CentrePiece - The magazine for economic performance 171, Centre for Economic Performance, LSE.
    9. Jonathan Guryan, 2004. "Desegregation and Black Dropout Rates," American Economic Review, American Economic Association, vol. 94(4), pages 919-943, September.
    10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    11. James J. Heckman & Dimitriy V. Masterov, 2007. "The Productivity Argument for Investing in Young Children," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 446-493.
    12. Stephen Gibbons & Stephen Machin & Olmo Silva, 2008. "Choice, Competition, and Pupil Achievement," Journal of the European Economic Association, MIT Press, vol. 6(4), pages 912-947, June.
    13. Eric D. Gould & Victor Lavy & M. Daniele Paserman, 2009. "Does Immigration Affect the Long‐Term Educational Outcomes of Natives? Quasi‐Experimental Evidence," Economic Journal, Royal Economic Society, vol. 119(540), pages 1243-1269, October.
    14. John M. Abowd (corresponding) & Francis Kramarz, 2004. "Are Good Workers Employed by Good Firms? A Simple Test of Positive Assortative Matching Models," Econometric Society 2004 North American Winter Meetings 385, Econometric Society.
    15. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    16. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    17. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    18. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    19. Jean-Marc Robin, 1999. "[Econometrics of systems of demand] [Econométrie des systèmes de demande]," Post-Print hal-02688894, HAL.
    20. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    21. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    22. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    23. repec:pri:edures:23.pdf is not listed on IDEAS
    24. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    25. Eric A. Hanushek & Steven G. Rivkin, 2003. "Does Public School Competition Affect Teacher Quality?," NBER Chapters, in: The Economics of School Choice, pages 23-48, National Bureau of Economic Research, Inc.
    26. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    27. Rosalind Levacic & Anna Vignoles, 2002. "Researching the Links between School Resources and Student Outcomes in the UK: A Review of Issues and Evidence," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 313-331.
    28. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    29. Woodcock, Simon D., 2015. "Match effects," Research in Economics, Elsevier, vol. 69(1), pages 100-121.
    30. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    31. Charles T. Clotfelter, 1999. "Are Whites Still "Fleeing"? Racial Patterns and Enrollment Shifts in Urban Public Schools, 1987-1996," NBER Working Papers 7290, National Bureau of Economic Research, Inc.
    32. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    33. Kenneth Y. Chay & Patrick J. McEwan & Miguel Urquiola, 2005. "The Central Role of Noise in Evaluating Interventions That Use Test Scores to Rank Schools," American Economic Review, American Economic Association, vol. 95(4), pages 1237-1258, September.
    34. Lorraine Dearden & Javier Ferri & Costas Meghir, 2002. "The Effect Of School Quality On Educational Attainment And Wages," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 1-20, February.
    35. Sheila M. Bird & Cox Sir David & Vern T. Farewell & Goldstein Harvey & Holt Tim & Smith Peter C., 2005. "Performance indicators: good, bad, and ugly," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 1-27, January.
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    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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