Targeted remedial education for underperforming teenagers: Costs and benefits

Journal of Labor Economics

Volumn 23, Issue 4, 2005, Pages 839-874

  Lavy, Victor ^a   Schlosser, Analía ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 29344438428     PISSN: 0734306X     EISSN: None     Source Type: Journal    
DOI: 10.1086/491609     Document Type: Article

References (38)

1. Angrist, Joshua D. 1998. Estimating the labor market impact of voluntary military service using social security data on military applicants. Econometrica 6, no. 2:249-88.
2. Angrist, Joshua D., and Victor Lavy. 1999. Using Maimonides' rule to estimate the effect of class size on scholastic achievement. Quarterly Journal of Economics 114, no. 2:533-75.
3. _. 2001. Does teacher training affect pupil learning? Evidence from matched comparisons in Jerusalem public schools. Journal of Labor Economics 19, no. 2:343-69.
4. _. 2002. New evidence on classroom computers and pupil learning. Economic Journal 112, no. 482:735-65.
5. _. 2004. The effect of high stakes high school achievement awards: Evidence from a group randomized trial. Unpublished manuscript, Department of Economics, Massachusetts Institute of Technology and Hebrew University.
6. Banerjee, Abhijit, Shawn Cole, Esther Duflo, and Leigh Linden. 2004. Remedying education: Evidence from two randomized experiments in India. Photocopy, Department of Economics, Massachusetts Institute of Technology.
7. Becker, Sascha O., and Andrea Ichino. 2002. Estimation of average treatment effects based on propensity scores. Stata Journal 2, no. 4:338-77.
8. Betts, Julian. 1995. Does school quality matter? Evidence from the National Longitudinal Survey of Youth. Review of Economics and Statistics 77, no. 2:231-50.
9. Card, David, and Alan Krueger. 1992. Does school quality matter? Return to education and the characteristics of public schools in the United States. Journal of Political Economy 100, no. 1:1-40.
10. _. 1994. Minimum wages and employment: A case study of the fast food industry in New Jersey and Pennsylvania. American Economic Review 84, no. 4:772-93.
11. Carneiro, Pedro, and James Heckman. 2003. Human capital policy. Working Paper no. 9495, National Bureau of Economic Research, Cambridge, MA.
12. Central Bureau of Statistics. 2002. Statistical abstract of Israel, vol. 53. Jerusalem: Central Bureau of Statistics, Israel.
13. Cooper, Harris, Kelly Charlton, Jeffrey C. Valentine, and Laura Muhlenbruck. 2000. Making the most of summer school: A meta-analytic and narrative review. Monographs of the Society for Research in Child Development 65, no. 1:1-118.
14. Currie, Janet. 2001. Early childhood education programs. Journal of Economic Perspectives 15, no. 2:213-38.
15. Currie, Janet, and Duncan Thomas. 2001. Early test scores, school quality, and SES: Long-run effects on wage and employment outcomes. In Worker wellbeing in a changing labor market, Research in Labor Economics, vol. 20, ed. Solomon W Polachek, 20:103-32. New York: Elsevier Science.
16. Davison, Antony C., and David Hinkley. Bootstrap methods and their application. Cambridge: Cambridge University Press, 1997.
17. Dynarski, Mark, and Philip Gleason. 1998. How can we help? What have we learned from evaluations of federal dropout-prevention programs? Policy Research Report no. 8014-140, Mathematica, Princeton, NJ.
18. Garces, Eliana, Duncan Thomas, and Janet Currie. 2002. Longer term effects of Head Start. American Economic Review 92, no. 4:999-1012.
19. Heckman, James J., Ichimura Hidehiko, and Petra Todd. 1997. Matching as an econometric evaluation estimator. Review of Economic Studies 64, no. 4:605-54.
20. Heckman, James, and Yona Rubinstein. 2001. The importance of noncognitive skills: Lessons from the GED Testing Program. American Economic Review 91, no. 2:145-49.
21. Hoxby, Caroline M. 2000. The effects of class size on student achievement: New evidence from population variation. Quarterly Journal of Economics 115, no. 3:1239-85.
22. Jacob, Brian A., and Lars Lefgren. 2004. Remedial education and student achievement: A regression discontinuity analysis. Review of Economics and Statistics 86, no. 1:226-44.
23. Jepsen, Christopher, and Steven Rivkin. 2002. What is the tradeoff between smaller classes and teacher quality? Working Paper no. 9205, National Bureau of Economic Research, Cambridge, MA.
24. Karoly, Lynn A., Peter W. Greenwood, Susan S. Everingham, Jill Houbé, M. Rebecca Kilburn, C. Peter Rydell, Matthew Sanders, and James Chiesa. 1998. Investing in our children: What we know and don't know about the costs and benefits of early childhood interventions. Santa Monica, CA: Rand.
25. Koretz, Daniel. 1996. Using student assessments for educational account-ability. In Improving American schools, ed. Eric A. Hanushek and Dale W. Jorgenson, 171-95. Washington, DC: National Academy Press.
26. Krueger, Alan B. 1999. Experimental estimates of education production functions. Quarterly Journal of Economics 114, no. 2:497-532.
27. Krueger, Alan B., and Diane M. Whitmore. 2001. The effect of attending a small class in the early grades on college-test taking and middle school test results: Evidence from Project STAR. Economic Journal 111, no. 468:1-28.
28. Lavy, Victor. 2002. Evaluating the effect of teachers' group performance incentives on pupil achievement. Journal of Political Economy 110, no. 6:1286-1317.
29. _. 2004. Performance pay and teacher's effort, productivity, and grading ethics. Working Paper no. 10622, National Bureau of Economic Research, Cambridge, MA.
30. Machin, Stephen, Sandra McNally, and Costas Meghir. 2004. Improving pupil performance in English secondary schools: Excellence in cities. Journal of the European Economic Association 2, no. 2:396-405.
31. Masse, Leonard, and W. Steven Barnett. 2002. A benefit-cost analysis of the Abecedarian Early Childhood Intervention. National Institute for Early Education Research, New Brunswick, NJ.
32. Ministry of Education, Culture, and Sport. 2001. Facts and figures about education in Israel. Jerusalem: Publications Department, Ministry of Education, Culture, and Sport.
33. Rosenbaum, Paul R., and Donald B. Rubin. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70, no. 1:41-55.
34. Schinke, S. P., Kristin Cole, and Stephen R. Poulin. 2000. Enhancing the educational achievement of at-risk youth. Prevention Science 1, no. 1: 51-60.
35. Schweinhart, Lawrence J. 2004.The High/Scope Perry Preschool Study through age 40: Summary, conclusions, and frequently asked questions. High Scope Educational Research Foundation, Ypsilanti, MI.
36. Smith, Jeffrey, and Petra Todd. 2005. Does matching overcome Lalonde's critique of nonexperimental estimators? Journal of Econometrics 125, no. 1-2:305-53.
37. Subramanian, Shankar, and Angus Deaton. 1996. The demand for food and calories. Journal of Political Economy 104, no. 1:133-62.
38. U.S. Department of Education, Office of the Under Secretary. 2003. When schools stay open late: The national evaluation of the Twenty-First Century Community Learning Centers Program, first year findings. U.S. Department of Education, Office of the Under Secretary, Washington, DC.