Abstract
In this chapter, we survey how the methods of dynamic and stochastic games have been applied in macroeconomic research. In our discussion of methods for constructing dynamic equilibria in such models, we focus on strategic dynamic programming, which has found extensive application for solving macroeconomic models. We first start by presenting some prototypes of dynamic and stochastic games that have arisen in macroeconomics and their main challenges related to both their theoretical and numerical analysis. Then, we discuss the strategic dynamic programming method with states, which is useful for proving existence of sequential or subgame perfect equilibrium of a dynamic game. We then discuss how these methods have been applied to some canonical examples in macroeconomics, varying from sequential equilibria of dynamic nonoptimal economies to time-consistent policies or policy games. We conclude with a brief discussion and survey of alternative methods that are useful for some macroeconomic problems.
Original language | English (US) |
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Title of host publication | Handbook of Dynamic Game Theory |
Publisher | Springer International Publishing |
Pages | 729-778 |
Number of pages | 50 |
ISBN (Electronic) | 9783319443744 |
ISBN (Print) | 9783319443737 |
DOIs | |
State | Published - Aug 12 2018 |
Keywords
- Approximating sets
- Computing correspondences
- Markov equilibria
- Non-optimal economies
- Numerical methods
- Perfect public equilibria
- Policy games
- Sequential equilibria
- Strategic dynamic programming
- Time-consistency problems
ASJC Scopus subject areas
- Mathematics(all)
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)