Topics in Economic Theory (Winter 2014)

OYAMA Daisuke
oyama@e.u-tokyo.ac.jp

Wednesday 10:30-12:10
First session October 1
Class room 4

In this course, we study topics in economic dynamics, mainly (but not fully) following the textbook given below. We focus on mathematical aspects, but occasionally discuss computational methods as well.

The programming language used is Python.

Notice

Textbook

J. Stachurski, Economic Dynamics: Theory and Computation, MIT Press, 2009. [Amazon]

Other References

J. P. Jarvis and D. R. Shier, ``Graph-Theoretic Analysis of Finite Markov Chains.''
``Strongly Connected Components,'' in timl.blog.
W. J. Stewart, Probability, Markov Chains, Queues, and Simulation, Princeton University Press, 2009. [Amazon] [Slides]
J. Rust, ``Numerical Dynamic Programming in Economics,'' Handbook of Computational Economics, Volume 1, 619-729, 1996. [Working paper version]
D. P. Bertsekas, Dynamic Programming: Deterministic and Stochastic Models, Prentice Hall, 1987.
M. L. Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming, Wiley-Interscience, 2005.
L. Kallenberg, ``Markov Decision Processes.''
M. J. Miranda and P. L. Fackler, Applied Computational Economics and Finance, MIT Press, 2002.
J. Rust, ``Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher,'' Econometrica 55 (1987), 999-1033.
J. Rust, Nested Fixed Point Maximum Likelihood Algorithm.

Slides

Homework

Office hours

Friday 14:00-15:30
Economics Research Building 10th floor, 1012

Class schedule