SciencesPo Paris, École Doctorale, 2023
Computational Economics for PhDs
by
Florian Oswald
Course home
Software installation
Cheatsheets
Homework 0
Course content
Lecture 1
-
Why Julia?
Lecture 2
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First Examples
Homework 1
Lecture 3
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Optimization 1
Homework 2
Lecture 4
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Optimization 2
Homework 3
Lecture 5
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Optimization 3
Homework 4
Lecture 6
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Function Approximation
Lecture 7
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Dynamic Programming
Lecture 8
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Discrete + Continuous
Homework 5
Lecture 9
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Data with Julia
Homework 6
Lecture 10
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Dynamic Discrete Choice
Lecture 4 : Optimization 2
We continue with application of optimization.
We'll add constraints to our optimization setup.
Notebooks
Topic
Notebook
Unconstrained Optimization Algorithms
click for notebook
Constraints and Linear Programming
click for notebook
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