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Empirical Economics

, Volume 56, Issue 2, pp 651–678 | Cite as

Threat of grade retention, remedial education and student achievement: evidence from upper secondary schools in Italy

  • Erich BattistinEmail author
  • Antonio Schizzerotto
Article

Abstract

We use a reform in Italy to investigate the effects on academic achievement of more stringent requirements for grade progression at secondary school. Geographic discontinuities in the implementation enable comparison among similar students undergoing alternative progression rules. We find different short-term results across curricular tracks, with negative effects of the increased threat of grade retention for students in technical and vocational schools. In contrast with the effects on academic achievement, we find that schools reacted to the additional administrative burden and costs imposed by the reform by admitting more students to the next grade. We argue that the reform had a negative effect on the motivation and engagement of the students who experienced the greatest difficulties, exacerbating inequalities.

Keywords

Policy evaluation Quasi-experimental design Remedial education 

JEL Classification

C31 I24 I28 

Supplementary material

181_2018_1443_MOESM1_ESM.zip (663 kb)
Supplementary material 1 (ZIP 663 kb)
181_2018_1443_MOESM2_ESM.docx (120 kb)
Supplementary material 2 (DOCX 120 kb)

References

  1. Akerlof G, Kranton R (2002) Identity and schooling: some lessons for the economics of education. J Econ Lit 40(4):1167–1201Google Scholar
  2. Battistin E, Meroni EC (2016) Should we increase instruction time in low achieving schools? Evidence from Southern Italy. Econ Educ Rev 55:39–56Google Scholar
  3. Battistin E, Schizzerotto A (2012) Threat of grade retention, remedial education and student achievement: evidence from upper secondary schools in Italy. IZA Discussion paper 7086Google Scholar
  4. Belot M, Vandenberghe V (2014) Evaluating the “threat” effects of grade repetition. Exploiting the 2001 reform by the French-speaking community of Belgium. Educ Econ 22(1):73–89Google Scholar
  5. Betts JR, Grogger J (2003) The impact of grading standards on student achievement, educational attainment, and entry-level earnings. Econ Educ Rev 22(4):343–352Google Scholar
  6. Bishop JH (2004) Drinking from the fountain of knowledge: Student incentive to study and learn-externalities, information problems and peer pressure. CAHRS Working Paper 04-15. Ithaca, NY: Cornell University, School of Industrial and Labor Relations, Center for Advanced Human Resource StudiesGoogle Scholar
  7. Borghans L, Golsteyn BH, Heckman JJ, Meijers H (2009) Gender differences in risk aversion and ambiguity aversion. J Eur Econ Assoc 7(2–3):649–658Google Scholar
  8. Boudon R (1974) Education, opportunity, and social inequality: changing prospects in western society. Wiley, New YorkGoogle Scholar
  9. Bowles S, Gintis H (2002) The Inheritance of Inequality. J Econ Perspect 16(3):3–30Google Scholar
  10. Breen R, Goldthorpe J (1997) Explaining educational differentials: towards a formal rational action theory. Ration Soc 9(3):275–305Google Scholar
  11. Calcagno JC, Long BT (2008) The impact of postsecondary remediation using a regression discontinuity approach: addressing endogenous sorting and noncompliance. NBER Working Paper No. 14194Google Scholar
  12. Cappellari L, Lucifora C (2009) The “Bologna Process” and college enrolment decisions. Labour Econ 16(6):638–647Google Scholar
  13. Carbonaro W (2005) Tracking, students’ effort, and academic achievement. Soc Educ 78(1):27–49Google Scholar
  14. De Lillo A, Schizzerotto A (1985) La valutazione sociale delle occupazioni. Una scala di stratificazione occupazionale per l’Italia contemporanea. Bologna, Il MulinoGoogle Scholar
  15. De Paola M, Scoppa V (2014) The effectiveness of remedial courses in Italy: a fuzzy regression discontinuity design. J Popul Econ 27(3):65–386Google Scholar
  16. Englund HM, Luckner AE, Whaley GJL, Egeland B (2004) Children’s achievements in early elementary school: longitudinal effects of parental involvement, expectations, and quality of assistance. J Educ Psychol 96(4):723–730Google Scholar
  17. Figlio DN, Lucas ME (2004) Do high grading standards affect student performance? J Public Econ 88:1815–1834Google Scholar
  18. Firpo S (2010) Efficient semiparametric estimation of quantile treatment effects. Econometrica 75(1):259–276Google Scholar
  19. Fortier MS, Vallerand RJ, Guay F (1996) Academic motivation and school performance: toward a structural model. Contemp Educ Psychol 20(3):257–274Google Scholar
  20. Gipps C, Murphy P (1994) A fair test? Assessment, achievement and equity. Open University Press, MaidenheadGoogle Scholar
  21. Hanushek EA, Wössmann L (2006) Does educational tracking affect performance and inequality? Differences-in-differences evidence across countries. Econ J 116(510):63–76Google Scholar
  22. Hastings JS, Neilson CA, Zimmerman SD (2012) The Effect of School Choice on Intrinsic Motivation and Academic Outcomes. NBER Working Paper No. 18324Google Scholar
  23. Heckman JJ, Vytlacil JE (2007) Econometric evaluation of social programs, part I: causal models, structural models and econometric policy evaluation. In: Handbook of econometrics, Chapter 70, vol 6, Part B. Elsevier, Amsterdam, pp 4779–4874Google Scholar
  24. Imbens GW (2004) Nonparametric estimation of average treatment effects under exogeneity. A review. Rev Econ Stat 86(1):4–29Google Scholar
  25. Jacob BA, Lefgren L (2004) Remedial education and student achievement: a regression-discontinuity analysis. Rev Econ Stat 86(1):226–244Google Scholar
  26. Jacob BA, Lefgren L (2009) The effect of grade retention on high school completion. Am Econ J Appl Econ 1(3):33–58Google Scholar
  27. Jimerson SR (2001) Meta-analysis of grade retention research: implications for practice in the 21st century. School Psychol Rev 30(3):420–437Google Scholar
  28. Lavy V, Schlosser A (2005) Targeted remedial education for underperforming teenagers: costs and benefits. J Labor Econ 23(4):839–874Google Scholar
  29. Lavy V, Schlosser A (2011) Mechanisms and impacts of gender peer effects at school. Am Econ J Appl Econ 3(2):1–33Google Scholar
  30. Lavy V, Silva O, Weinhardt F (2012) The good, the bad and the average: evidence on the scale and nature of ability peer effects in schools. J Labor Econ 30(2):367–414Google Scholar
  31. Machin S, McNally S (2005) Gender and student achievement in english schools. Oxf Rev Econ Policy 21(3):357–372Google Scholar
  32. OECD (2001) Knowledge and skills for life. First results from PISA 2000. OECD, ParisGoogle Scholar
  33. OECD (2004) Learning for tomorrow’s world. First results from PISA 2003. OECD, ParisGoogle Scholar
  34. OECD (2007) Evidence in education: linking research and policy. OECD, ParisGoogle Scholar
  35. OECD (2012) Programme for international student assessment (PISA). Results from Pisa 2012—Country Note, ItalyGoogle Scholar
  36. OECD (2013) Education at a glance, Country Report-Italy, ParisGoogle Scholar
  37. Pintrich PR (2003) A motivational science perspective on the role of student motivation in learning and teaching context. J Educ Psychol 95(4):667–686Google Scholar
  38. Powney J (1996) Gender and attainment: a review. Scottish Council for Research in Education, EdinburghGoogle Scholar
  39. Rosenthal R, Jacobson L (1968) Pygmalion in the classroom. Holt, Reinhart & Winston, New YorkGoogle Scholar
  40. Rubie-Davies C, Hottie J, Hamilton R (2006) Expecting the best for students: teacher expectation and academic outcomes. Br J Educ Psychol 76(3):429–444Google Scholar
  41. Shavit Y, Blossfeld HP (eds) (1993) Persistent Inequality. Changing educational attainments in thirteen countries. Westview Press, BoulderGoogle Scholar
  42. Staddon J (1983) Adaptive learning and behavior. Cambridge University Press, CambridgeGoogle Scholar
  43. Whelan C, Layte R, Maitre B (2002) Multiple deprivation and persistent poverty in the European Union. J Eur Soc Policy 12(2):91–105Google Scholar
  44. Zimmer R (2003) A new twist in the educational tracking debate. Econ Educ Rev 22(3):307–315Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Agriculture and Resource EconomicsUniversity of MarylandCollege ParkUSA
  2. 2.CEPRLondonUK
  3. 3.FBK-IRVAPPTrentoItaly
  4. 4.IZABonnGermany

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