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Dr Philipp Renner

Senior Lecturer

  1. 2020
  2. Published

    An augmented first-order approach for incentive problems

    Renner, P., 28/05/2020, Lancaster: Lancaster University, Department of Economics, (Economics Working Papers Series).

    Research output: Working paper

  3. Forthcoming

    Discrete-Time Dynamic Principal--Agent Models: Contraction Mapping Theorem and Computational Treatment

    Renner, P. & Schmedders, K., 13/05/2020, (Accepted/In press) In : Quantitative Economics.

    Research output: Contribution to journalJournal article

  4. 2017
  5. Published

    Dynamic Principal–Agent Models

    Renner, P. & Schmedders, K., 11/2017, Lancaster: Lancaster University, Department of Economics, (Economics Working Paper Series).

    Research output: Working paper

  6. Published

    Machine learning for dynamic incentive problems

    Renner, P. & Scheidegger, S., 11/2017, Lancaster: Lancaster University, Department of Economics, (Economics Working Papers Series).

    Research output: Working paper

  7. 2015
  8. Published

    A Polynomial Optimization Approach to Principal-Agent Problems

    Renner, P. & Schmedders, K., 03/2015, In : Econometrica. 83, 2, p. 729-769 41 p.

    Research output: Contribution to journalJournal article

  9. 2014
  10. Published

    Computing All Solutions to Polynomial Equations in Economics

    Kubler, F., Schmedders, K. & Renner, P., 2014, Handbook of Computational Economics. Elsevier, Vol. 3. p. 599-652 54 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  11. 2013
  12. Published

    Computing generalized Nash equilibria by polynomial programming

    Couzoudis, E. & Renner, P., 06/2013, In : Mathematical Methods of Operational Research. 77, 3, p. 459-472 14 p.

    Research output: Contribution to journalJournal article

  13. 2012
  14. Published

    Finding all pure-strategy equilibria in games with continuous strategies

    Judd, K., Renner, P. & Schmedders, K., 07/2012, In : Quantitative Economics. 3, 2, p. 289-331 43 p.

    Research output: Contribution to journalJournal article

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