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Kenneth L. Judd
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  • The Fed and its Models
    • Is extra computational power useful?
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    • Pictures are important
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  • Working Papers
Kenneth L. Judd
  • About Us
  • Block Content Examples
  • Blog
  • Books
  • books
  • Che-Lin Su Conference
    • Program
  • Conferences
    • ICE 2005
      • ICE 2005 Participants
      • ICE 2005 Personnel
      • ICE 2005 Photos
      • ICE 2005 Poster Session Winners
      • ICE 2005 Program Description
      • ICE 2005 Schedule
    • ICE 2006
      • ICE 2006 Participants
      • ICE 2006 Personnel
      • ICE 2006 Program Description
      • ICE 2006 Schedule
      • ICE 2006 Supplemental Resources
    • ICE 2007
      • ICE 2007 Personnel
      • ICE 2007 Program Description
      • ICE 2007 Schedule
      • ICE 2007 Supplemental Resources
    • ICE 2008
      • ICE 2008 Personnel
      • ICE 2008 Program Description
      • ICE 2008 Schedule
      • ICE 2008 Student Presentations
      • ICE 2008 Supplemental Resources
    • ICE 2009
      • ICE 2009 Personnel
      • ICE 2009 Photos
      • ICE 2009 Program Description
      • ICE 2009 Schedule
      • ICE 2009 Student Presentations
    • ICE 2010
      • ICE 2010 Personnel
      • ICE 2010 Program Description
      • ICE 2010 Schedule
      • ICE 2010 Supplemental Materials
    • ICE 2011
      • ICE 2011 Personnel
      • ICE 2011 Program Description
      • ICE 2011 Schedule
    • ICE 2012
      • Benjamin Skrainka’s Reading List
      • ICE 2012 Personnel
      • ICE 2012 Program Description
      • ICE 2012 Schedule
    • nICE 2016
  • Contact
  • Contact Us
  • DICE_N vs DICE_CJL
    • CJL-flexible time period
      • CJL1
      • CJL10
      • CJL2
      • CJL4
      • CJL8
      • CJLhalf
      • CJLquarter
      • Terminal Value Function
    • DICE-N and Solvers
      • DICE with unconstrainted investment and Solvers
    • Nordhaus original code
      • output
    • Nordhaus unconstrained investment
      • output
    • Notes in Nordhaus original code
    • template
  • Documentation for “Tyranny of the Top Five”
  • Dynamic Stochastic Integration of Climate and Economy
  • Economics and Computation
    • American Economic Review
    • Econometrica
    • Economists vs Computation
    • Europe: Here’s an opportunity! Take it!
    • Games and Economic Behavior
    • Long Live Ludd!
    • Review of Economic Studies
  • Economics vs. Science
  • FlatTax+40
  • Homepage
  • Initiative for Computational Economics
  • judd home page
  • Judd Lecture Materials
  • Ken Judd Home Page
  • Ken Judd Home Page Old
  • Landing Page
  • Open Science Letter
    • General Discussion
    • Introduction
    • Results
      • CJL – one half year
        • GAMS Code
      • CJL – one quarter year
        • GAMS Code
      • CJL – One Year
        • GAMS Code
      • DICE2007 – Ten Year Time Step
        • GAMS Code
  • Papers
  • posts page
  • Privacy Policy
  • Program
  • Published Papers
  • Research Projects
  • Skrainka Lecture Materials
  • Teaching
    • Penn State Numerical Methods
      • Penn State 2014
        • DownWithLogLin
        • DSICE
        • FAQ
        • Iterative Methods
      • Penn State 2015
        • Lecture Notes
        • Michelangeli Papers
        • Papers
        • XSEDE
      • Penn State 2017
      • Penn State 2018
      • Penn State 2019
      • Penn State 2023
      • Penn State 2011
        • Approximation
        • Doraszelski-Judd Paper and RAND’s rejection
        • Dynamic Programming
        • Judd Maliar Maliar
        • Quadrature
        • Structural Estimation
      • Penn State 2012
      • Penn State 2013
    • University of Zurich 2020
      • 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 07: Constrained optimization applications
      • 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
      • Lecture 26: DSICE
      • Lecture 27: Concluding remarks
  • The Fed and its Models
    • Is extra computational power useful?
    • Is macro underfunded?
    • Pictures are important
    • Questions about FRB/US
    • We knew 2008 could happen
  • Working Papers

Lecture 19: Projection methods I

Lecture 19.1: Projection Methods

Lecture 19.2: Projection Growth Model

Lecture 19.3: L1 method with shape constraints

 

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