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Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter

  • Philip Oreopoulos

The change to the minimum school-leaving age in the United Kingdom from 14 to 15 had a powerful and immediate effect that redirected almost half the population of 14-year-olds in the mid-twentieth century to stay in school for one more year. The magnitude of this impact provides a rare opportunity to (a) estimate local average treatment effects (LATE) of high school that come close to population average treatment effects (ATE); and (b) estimate returns to education using a regression discontinuity design instead of previous estimates that rely on difference-in-differences methodology or relatively weak instruments. Comparing LATE estimates for the United States and Canada, where very few students were affected by compulsory school laws, to the United Kingdom estimates provides a test as to whether instrumental variables (IV) returns to schooling often exceed ordinary least squares (OLS) because gains are high only for small and peculiar groups among the more general population. I find, instead, that the benefits from compulsory schooling are very large whether these laws have an impact on a majority or minority of those exposed.

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Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 96 (2006)
Issue (Month): 1 (March)
Pages: 152-175

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Handle: RePEc:aea:aecrev:v:96:y:2006:i:1:p:152-175
Note: DOI: 10.1257/000282806776157641
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  1. Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working papers 98-7, Massachusetts Institute of Technology (MIT), Department of Economics.
  2. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post-Secondary Schooling," NBER Working Papers 9055, National Bureau of Economic Research, Inc.
  3. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  4. Luiz M. Cruz & Marcelo J. Moreira, 2005. "On the Validity of Econometric Techniques with Weak Instruments: Inference on Returns to Education Using Compulsory School Attendance Laws," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).
  5. Philip Oreopoulos, 2003. "Do Dropouts Drop Out Too Soon? Evidence from Changes in School-Leaving Laws," Working Papers oreo-03-01, University of Toronto, Department of Economics.
  6. Joshua Angrist, 2004. "Treatment Effect Heterogeneity in Theory and Practice," Econometric Society 2004 North American Winter Meetings 186, Econometric Society.
  7. Joshua Angrist & Alan Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
  8. Daron Acemoglu & Joshua Angrist, 2001. "How Large are Human-Capital Externalities? Evidence from Compulsory-Schooling Laws," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 9-74 National Bureau of Economic Research, Inc.
  9. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-86, December.
  10. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
  11. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
  12. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
  13. Stephen V. Cameron & Christopher Taber, 2004. "Estimation of Educational Borrowing Constraints Using Returns to Schooling," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 132-182, February.
  14. Kane, Thomas J & Rouse, Cecilia Elena, 1995. "Labor-Market Returns to Two- and Four-Year College," American Economic Review, American Economic Association, vol. 85(3), pages 600-614, June.
  15. Daron Acemoglu & Kenneth Rogoff & Michael Woodford, 2009. "NBER Macroeconomics Annual 2008, Volume 23," NBER Books, National Bureau of Economic Research, Inc, number acem08-1, June.
  16. Chiswick, Barry R, 1969. "Minimum Schooling Legislation and the Cross-Sectional Distribution of Income," Economic Journal, Royal Economic Society, vol. 79(315), pages 495-507, September.
  17. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," Review of Economic Studies, Oxford University Press, vol. 72(1), pages 189-221.
  18. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.
  19. Claudia Goldin & Lawrence Katz, 2003. "Mass Secondary Schooling and the State," NBER Working Papers 10075, National Bureau of Economic Research, Inc.
  20. George A. Akerlof & Rachel E. Kranton, 2002. "Identity and Schooling: Some Lessons for the Economics of Education," Journal of Economic Literature, American Economic Association, vol. 40(4), pages 1167-1201, December.
  21. J. Dominitz & C. F. Manski, . "Using expectations data to study subjective income expectations," Institute for Research on Poverty Discussion Papers 1050-94, University of Wisconsin Institute for Research on Poverty.
  22. Lance Lochner & Enrico Moretti, 2004. "The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports," American Economic Review, American Economic Association, vol. 94(1), pages 155-189, March.
  23. Park, Jin Heum, 1999. "Estimation of sheepskin effects using the old and the new measures of educational attainment in the Current Population Survey," Economics Letters, Elsevier, vol. 62(2), pages 237-240, February.
  24. Philip Oreopoulos, 2003. "Do Dropouts Drop Out Too Soon? International Evidence From Changes in School-Leaving Laws," NBER Working Papers 10155, National Bureau of Economic Research, Inc.
  25. Stacey Chen, 2001. "Is Investing in College Education Risky?," Discussion Papers 01-09, University at Albany, SUNY, Department of Economics.
  26. Levhari, David & Weiss, Yoram, 1974. "The Effect of Risk on the Investment in Human Capital," American Economic Review, American Economic Association, vol. 64(6), pages 950-63, December.
  27. Lang, Kevin, 1993. "Ability Bias, Discount Rate Bias and the Return to Education," MPRA Paper 24651, University Library of Munich, Germany.
  28. Philip Oreopoulos, 2006. "The compelling effects of compulsory schooling: evidence from Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 39(1), pages 22-52, February.
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