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Marginal Returns to Schooling and Education Policy Change in Japan

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  • Nobuyoshi Kikuchi

Abstract

This paper examines the returns to university education in Japan, using tuition, availability of universities, and labor market conditions as instrumental variables. To measure availability of universities, this paper uses total accredited capacity of all universities in the prefecture of residence at the age of 15. This measure captures cross-time and crossprefecture variations, because birth cohort and prefecture dummies are also controlled. A set of education policy-relevant instruments allows for estimation of the marginal effects for individuals who are induced to enroll in university by policy changes. Using the estimated marginal treatment effect, this paper recovers the average treatment effect parameters. The main empirical result shows that an additional year of university education increases hourly wage by about 9% on the population average. This paper also finds heterogeneous effects by subpopulation groups: the average effect of a year of university education for those enrolled in university is about 17%, but less than 2% for those who did not enroll. Finally, this paper investigates the average returns for those who are induced to enroll in university by a particular policy shift, such as free tuition or an increase in the capacity of local universities. The results suggest that such policy changes bring about positive effects of university education.

Suggested Citation

  • Nobuyoshi Kikuchi, 2017. "Marginal Returns to Schooling and Education Policy Change in Japan," ISER Discussion Paper 0996r, Institute of Social and Economic Research, Osaka University, revised Oct 2017.
  • Handle: RePEc:dpr:wpaper:0996r
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    File URL: https://www.iser.osaka-u.ac.jp/library/dp/2017/DP0996R.pdf
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    References listed on IDEAS

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    1. Pedro Carneiro & Michael Lokshin & Nithin Umapathi, 2017. "Average and Marginal Returns to Upper Secondary Schooling in Indonesia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 16-36, January.
    2. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, January.
    3. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    4. Kling, Jeffrey R, 2001. "Interpreting Instrumental Variables Estimates of the Returns to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 358-364, July.
    5. Kyui, Natalia, 2016. "Expansion of higher education, employment and wages: Evidence from the Russian Transition," Labour Economics, Elsevier, vol. 39(C), pages 68-87.
    6. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    7. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    8. Stacy B. Dale & Alan B. Krueger, 2014. "Estimating the Effects of College Characteristics over the Career Using Administrative Earnings Data," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 323-358.
    9. Frenette, Marc, 2009. "Do universities benefit local youth? Evidence from the creation of new universities," Economics of Education Review, Elsevier, vol. 28(3), pages 318-328, June.
    10. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    11. Martin Nybom, 2017. "The Distribution of Lifetime Earnings Returns to College," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 903-952.
    12. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    13. Page, Lindsay C. & Scott-Clayton, Judith, 2016. "Improving college access in the United States: Barriers and policy responses," Economics of Education Review, Elsevier, vol. 51(C), pages 4-22.
    14. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    15. Thomas J. Kane & Cecilia E. Rouse, 1993. "Labor Market Returns to Two- and Four-Year Colleges: Is a Credit a Credit and Do Degrees Matter?," NBER Working Papers 4268, National Bureau of Economic Research, Inc.
    16. Ono, Hiroshi, 2000. "College Quality and Earnings in the Japanese Labor Market," SSE/EFI Working Paper Series in Economics and Finance 395, Stockholm School of Economics, revised 11 Mar 2003.
    17. Wang, Xiaojun & Fleisher, Belton M. & Li, Haizheng & Li, Shi, 2014. "Access to college and heterogeneous returns to education in China," Economics of Education Review, Elsevier, vol. 42(C), pages 78-92.
    18. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    19. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    20. J. P. Florens & J. J. Heckman & C. Meghir & E. Vytlacil, 2008. "Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects," Econometrica, Econometric Society, vol. 76(5), pages 1191-1206, September.
    21. 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.
    22. Belskaya, Olga & Peter, Klara Sabirianova & Posso, Christian, 2014. "College Expansion and the Marginal Returns to Education: Evidence from Russia," IZA Discussion Papers 8735, Institute of Labor Economics (IZA).
    23. James J. Heckman & Xuesong Li, 2004. "Selection bias, comparative advantage and heterogeneous returns to education: evidence from China in 2000," Pacific Economic Review, Wiley Blackwell, vol. 9(3), pages 155-171, October.
    24. Peter Arcidiacono, 2005. "Affirmative Action in Higher Education: How Do Admission and Financial Aid Rules Affect Future Earnings?," Econometrica, Econometric Society, vol. 73(5), pages 1477-1524, September.
    25. Janet Currie & Enrico Moretti, 2003. "Mother's Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1495-1532.
    26. Oppedisano, Veruska, 2011. "The (adverse) effects of expanding higher education: Evidence from Italy," Economics of Education Review, Elsevier, vol. 30(5), pages 997-1008, October.
    27. Thomas J. Kane & Cecilia E. Rouse, 1993. "Labor Market Returns to Two- And Four-Year College: Is a Credit a Credit And Do Degrees Matter?," Working Papers 690, Princeton University, Department of Economics, Industrial Relations Section..
    28. Takashi Oshio & Wataru Seno, 2007. "The Economics of Education in Japan: A Survey of Empirical Studies and Unresolved Issues," Japanese Economy, Taylor & Francis Journals, vol. 34(1), pages 46-81.
    29. Thomas J. Kane & Cecilia Rouse, 1993. "Labor Market Returns to Two- And Four-Year College: Is A Credit a Credit And Do Degrees Matter?," Working Papers 690, Princeton University, Department of Economics, Industrial Relations Section..
    30. repec:fth:prinin:311 is not listed on IDEAS
    31. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    32. Chuang, Yih-chyi & Lai, Wei-wen, 2010. "Heterogeneity, comparative advantage, and return to education: The case of Taiwan," Economics of Education Review, Elsevier, vol. 29(5), pages 804-812, October.
    33. Susan Dynarski & Judith Scott-Clayton, 2013. "Financial Aid Policy: Lessons from Research," NBER Working Papers 18710, National Bureau of Economic Research, Inc.
    34. NAKAMURO Makiko & INUI Tomohiko, 2012. "Estimating the Returns to Education Using a Sample of Twins - The case of Japan -," Discussion papers 12076, Research Institute of Economy, Trade and Industry (RIETI).
    35. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
    36. Keane, Michael P & Wolpin, Kenneth I, 2001. "The Effect of Parental Transfers and Borrowing Constraints on Educational Attainment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1051-1103, November.
    37. Oshio, Takashi & 小塩, 隆士 & オシオ, タカシ & Kobayashi, Miki & 小林, 美樹 & コバヤシ, ミキ, 2009. "Happiness, self-rated health, and income inequality: Evidence from nationwide surveys in Japan," PIE/CIS Discussion Paper 451, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
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    2. Kenjiro Hirata & Shinpei Sano & Katsuya Takii, 2021. "How can a college's admissions policies help produce future business leaders?," OSIPP Discussion Paper 21E003, Osaka School of International Public Policy, Osaka University.

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