Munich Personal RePEc Archive

Simulation Based Estimation of Discrete Sequential Move Games of Perfect Information

Wang, Yafeng and Graham, Brett (2010): Simulation Based Estimation of Discrete Sequential Move Games of Perfect Information.

WarningThere is a more recent version of this item available.
[img]
Preview
PDF
MPRA_paper_23153.pdf

Download (165Kb) | Preview

Abstract

We propose simulation based estimation for discrete sequential move games of perfect information which relies on the simulated moments and importance sampling. We use importance sampling techniques not only to reduce computational burden and simulation error, but also to overcome non-smoothness problems. The model is identified with only weak scale and location normalizations, monte Carlo evidence demonstrates that the estimator can perform well in moderately-sized samples.

Available Versions of this Item

UB_LMU-Logo
MPRA is a RePEc service hosted by
the Munich University Library in Germany.