Volume II extends the finite state framework to general state spaces, covering abstract dynamic programs, stochastic discounting, valuation, recursive decision processes, and continuous time.

An online research resource featuring chapters from Risk, Uncertainty and Value, developing concepts and tools for uncertainty characterization in nonlinear stochastic equilibrium models.

Volume I covers dynamic programming theory and applications for finite state spaces, including operators and fixed points, Markov dynamics, optimal stopping, and Markov decision processes.

This book is an introduction to economic networks and it emphasizes quantitative modeling, with the main underlying tools being graph theory, linear algebra, fixed point theory and programming.