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Education and Optimal Dynamic Taxation

  • Dominik Sachs

    (Universität Konstanz)

  • Sebastian Findeisen

    (University of Zurich)

We study optimal tax and educational policies in a dynamic private information economy, in which ex-ante heterogeneous individuals make an educational investment early in their life and face a stochastic wage distribution. We characterize labor and education wedges in this setting analytically and numerically, using a calibrated example. We present ways to implement the optimum. In one implementation there is a common labor income tax schedule, and a repayment schedule for government loans given out to agents during education. These repayment plans are contingent on loan size and income and capture the history dependence of the labor wedges. Applying the model to US-data and a binary education decision (graduating from college or not) we characterize optimal labor wedges for individuals without college degree and with college degree. The labor wedge of college graduates as a function of income lies first strictly above their counterparts from high-school, but this reverses at higher incomes.

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Paper provided by Society for Economic Dynamics in its series 2012 Meeting Papers with number 365.

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Date of creation: 2012
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Handle: RePEc:red:sed012:365
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Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA

Web page: http://www.EconomicDynamics.org/
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  17. N. Gregory Mankiw & Matthew C. Weinzierl, 2009. "The Optimal Taxation of Height: A Case Study of Utilitarian Income Redistribution," Harvard Business School Working Papers 09-139, Harvard Business School.
  18. P. A. Diamond & J. A. Mirrlees, 1977. "A Model of Social Insurance With Variable Retirement," Working papers 210, Massachusetts Institute of Technology (MIT), Department of Economics.
  19. A. Lans Bovenberg & Bas Jacobs, 2005. "Redistribution and Education Subsidies are Siamese Twins," Tinbergen Institute Discussion Papers 05-036/3, Tinbergen Institute.
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