Quantitative Economics

Journal Of The Econometric Society

Edited by: Stéphane Bonhomme • Print ISSN: 1759-7323 • Online ISSN: 1759-7331

Quantitative Economics: Mar, 2012, Volume 3, Issue 1

Avoiding the curse of dimensionality in dynamic stochastic games

Ulrich Doraszelski, Kenneth L. Judd

Discrete-time stochastic games with a finite number of states have been widely
applied to study the strategic interactions among forward-looking players in dy-
namic environments. These games suffer from a “curse of dimensionality” when
the cost of computing players’ expectations over all possible future states in-
creases exponentially in the number of state variables. We explore the alterna-
tive of continuous-time stochastic games with a finite number of states and ar-
gue that continuous time may have substantial advantages. In particular, under
widely used laws of motion, continuous time avoids the curse of dimensional-
ity in computing expectations, thereby speeding up the computations by orders
of magnitude in games with more than a few state variables. This much smaller
computational burden greatly extends the range and richness of applications of
stochastic games.
Keywords. Dynamic stochastic games, continuous time, Markov perfect equilib-
rium, numerical methods.
JEL classification. C63, C73, L13.

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Supplement to "Avoiding the curse of dimensionality in dynamic stochastic games"

Supplement to "Avoiding the curse of dimensionality in dynamic stochastic games"

Supplement to "Avoiding the curse of dimensionality in dynamic stochastic games"

Supplement to "Avoiding the curse of dimensionality in dynamic stochastic games"