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Modeling income dynamics for public policy design: An application to income contingent student loans

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  • Higgins, Tim
  • Sinning, Mathias

Abstract

This paper studies the importance of dynamic earnings modeling for the design of income contingent student loans (ICLs). ICLs have been shown to be theoretically optimal in terms of efficiency in the presence of risk aversion, adverse selection and moral hazard, and have attractive equity properties. Recognition of their benefits has led to their adoption for tertiary education tuition fees in countries including Australia, New Zealand, and the UK. Since the design of ICLs relies on the prediction of the underlying costs, we explore the extent to which the complexity of earnings modeling affects the estimation of loan subsidies. The use of Australian data allows us to compare our simulated debt repayments to actual repayments under the Australian Higher Education Contribution Scheme (HECS). Our findings reveal that the complexity of earnings modeling has considerable implications for the calculation of loan subsidies.

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  • Higgins, Tim & Sinning, Mathias, 2013. "Modeling income dynamics for public policy design: An application to income contingent student loans," Economics of Education Review, Elsevier, vol. 37(C), pages 273-285.
    • Handle: RePEc:eee:ecoedu:v:37:y:2013:i:c:p:273-285
    DOI: 10.1016/j.econedurev.2013.08.009
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    1. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    2. Darragh Flannery & Cathal O’Donoghue, 2011. "The Life-cycle Impact of Alternative Higher Education Finance Systems in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 42(3), pages 237-270.
    3. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    4. Amy Rehder Harris & John Sabelhaus, 2003. "Projecting Longitudinal Earnings Patterns for Long-Run Policy Analysis: Technical Paper 2003-02," Working Papers 14364, Congressional Budget Office.
    5. Robert J. Gary-Bobo & Alain Trannoy, 2015. "Optimal student loans and graduate tax under moral hazard and adverse selection," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 546-576, September.
    6. Haider, Steven J, 2001. "Earnings Instability and Earnings Inequality of Males in the United States: 1967-1991," Journal of Labor Economics, University of Chicago Press, vol. 19(4), pages 799-836, October.
    7. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-375, April.
    8. Chapman, Bruce & Liu, Amy Y.C., 2013. "Repayment burdens of student loans for Vietnamese higher education," Economics of Education Review, Elsevier, vol. 37(C), pages 298-308.
    9. Dickens, Richard, 2000. "The Evolution of Individual Male Earnings in Great Britain: 1975-95," Economic Journal, Royal Economic Society, vol. 110(460), pages 27-49, January.
    10. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    11. Lorenzo Cappellari, 2004. "The Dynamics and Inequality of Italian Men’s Earnings: Long-term Changes or Transitory Fluctuations?," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    12. Migali, Giuseppe, 2012. "Funding higher education and wage uncertainty: Income contingent loan versus mortgage loan," Economics of Education Review, Elsevier, vol. 31(6), pages 871-889.
    13. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    14. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    15. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    16. Chapman, Bruce & Lounkaew, Kiatanantha, 2010. "Income contingent student loans for Thailand: Alternatives compared," Economics of Education Review, Elsevier, vol. 29(5), pages 695-709, October.
    17. Adriaan S. Kalwij & Rob Alessie, 2007. "Permanent and transitory wages of British men, 1975-2001: year, age and cohort effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1063-1093.
    18. Robert A. Moffitt & Peter Gottschalk, 2002. "Trends in the Transitory Variance of Earnings in the United States," Economic Journal, Royal Economic Society, vol. 112(478), pages 68-73, March.
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    1. Dearden, Lorraine & Nascimento, Paulo Meyer, 2019. "Modelling alternative student loan schemes for Brazil," Economics of Education Review, Elsevier, vol. 71(C), pages 83-94.
    2. Dearden, Lorraine & Nagase, Nobuko, 2017. "Getting student loans right in Japan: problems and possible solutions," Discussion Paper Series 668, Institute of Economic Research, Hitotsubashi University.
    3. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    4. Britton, Jack & van der Erve, Laura & Higgins, Tim, 2019. "Income contingent student loan design: Lessons from around the world," Economics of Education Review, Elsevier, vol. 71(C), pages 65-82.
    5. Cai, Yu & Chapman, Bruce & Wang, Qing, 2019. "Repayment burdens of mortgage-style student loans in China and steps toward income-contingent loans," Economics of Education Review, Elsevier, vol. 71(C), pages 95-108.
    6. Wenhua Di & Kelly D. Edmiston, 2017. "Student Loan Relief Programs: Implications for Borrowers and the Federal Government," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 224-248, May.
    7. Armstrong, Shiro & Dearden, Lorraine & Kobayashi, Masayuki & Nagase, Nobuko, 2019. "Student loans in Japan: Current problems and possible solutions," Economics of Education Review, Elsevier, vol. 71(C), pages 120-134.
    8. Roger Wilkins, 2021. "Economic Wellbeing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 469-481, December.
    9. Diana Bílková, 2015. "Financial Position of Czech Employees at the Beginning of the 3rd Millennium according to Educational Attainment," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(3), pages 307-331.
    10. Chapman, Bruce & Lounkaew, Kiatanantha, 2013. "Introduction to the special issue on Economic Research for Education Policy," Economics of Education Review, Elsevier, vol. 37(C), pages 200-203.
    11. Dearden, Lorraine, 2019. "Evaluating and designing student loan systems: An overview of empirical approaches," Economics of Education Review, Elsevier, vol. 71(C), pages 49-64.

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    More about this item

    Keywords

    Educational finance; Dynamic stochastic modeling; Panel data; Income contingent loans;
    All these keywords.

    JEL classification:

    • H81 - Public Economics - - Miscellaneous Issues - - - Governmental Loans; Loan Guarantees; Credits; Grants; Bailouts
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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