Lecture Notes

SES # TOPICS LECTURE NOTES
Discrete time: deterministic models
1-7

Vector spaces

The principle of optimality

Concavity and differentiability of the value function

Euler equations

Deterministic dynamics

Models with constant returns to scale

Nonstationary models

Lecture 1 (This resource may not render correctly in a screen reader.PDF)

Lecture 2 (This resource may not render correctly in a screen reader.PDF)

Lecture 3 (This resource may not render correctly in a screen reader.PDF)

Lecture 4 (This resource may not render correctly in a screen reader.PDF)

Lecture 5 (This resource may not render correctly in a screen reader.PDF)

Lecture 6 (This resource may not render correctly in a screen reader.PDF)

Lecture 7 (This resource may not render correctly in a screen reader.PDF)
Discrete time: stochastic models
8-9

Stochastic dynamic programming

Stochastic Euler equations

Stochastic dynamics

Lecture 8 (This resource may not render correctly in a screen reader.PDF)

Lecture 9 (This resource may not render correctly in a screen reader.PDF)
Continuous time
10-12

Calculus of variations

The maximum principle

Discounted infinite-horizon optimal control

Saddle-path stability

 Lecture 10 (This resource may not render correctly in a screen reader.PDF)