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Kenneth L. Judd
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Kenneth L. Judd
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  • Teaching
    • 2009 Lectures at Peking and Renmin Universities
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    • Numerical Methods Course by Judd
      • Lecture 05: Nonlinear Equations
      • Lecture 06: Constrained optimization theory and methods
      • Lecture 07: Constrained optimization applications
      • Lecture 08: Structural Estimation I
      • Lecture 09: Finite-difference ODEs
      • Lecture 13: Approximation I
      • Lecture 21: Perturbation methods
      • Lecture 01: Introduction
      • Lecture 02: Computer Arithmetic
      • Lecture 03: Linear algebra and equations
      • Lecture 04: Unconstrained optimization
      • Lecture 10: Version Control Using Git
      • Lecture 11: Automatic Differentiation
      • Lecture 12: Homotopy
      • Lecture 14: Numerical quadrature MC qMC
      • Lecture 15: Dynamic optimization equilibrium NLCEQ
      • Lecture 16: Dynamic programming-discrete state
      • Lecture 17: Structural estimation II
      • Lecture 18: Dynamic programming-continuous state
      • Lecture 19: Projection methods I
      • Lecture 20: Projection Methods II
      • Lecture 22: Modern Approximation
      • Lecture 23: Dynamic Games
      • Lecture 24: Multi Objective Optimization
      • Lecture 25: Structural estimation III
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        • Penn State 2021, March 16: Discrete-state dynamic programming
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        • Penn State 2021, March 23: Not your grandfather’s confidence intervals
        • Penn State 2021, March 25: Macro-based empirical micro
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      • Bonus Lecture: Macroeconomics
      • Lecture 01: Introduction
      • Lecture 02: Computer Arithmetic
      • Lecture 03: Linear algebra and equations
      • Lecture 04: Unconstrained optimization
      • Lecture 05: Nonlinear Equations
      • Lecture 06: Constrained optimization theory and methods
      • Lecture 08: Structural Estimation I
      • Lecture 09: Finite-difference ODEs
      • Lecture 10: Version Control Using Git
      • Lecture 11: Automatic Differentiation
      • Lecture 12: Homotopy
      • Lecture 13: Approximation I
      • Lecture 14: Numerical quadrature MC qMC
      • Lecture 15: Dynamic optimization equilibrium NLCEQ
      • Lecture 16: Dynamic programming-discrete state
      • Lecture 17: Structural estimation II
      • Lecture 18: Dynamic programming-continuous state
      • Lecture 19: Projection methods I
      • Lecture 20: Projection Methods II
      • Lecture 21: Perturbation methods
      • Lecture 22: Modern Approximation
      • Lecture 23: Dynamic Games
      • Lecture 24: Multi Objective Optimization
      • Lecture 25: Structural estimation III
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      • Lecture 27: Concluding remarks
      • Lecture 07: Constrained optimization applications
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ICE 2009 Student Presentations

ICE 2009

ICE 2009 Home Page — ICE Home Page — Ken Judd’s Home Page

Student Presentations

“Nonlinear Pricing without Single Crossing” (Dimitri Blueschke, Guilherme Freitas, Martin Szydlowski, and Nan Yang)

  • Presentation slides
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