Estimation of Dynamic Discrete Choice Models in Continuous Time

Abstract

This paper provides a method of estimating dynamic discrete choice models (in both singleand multi-agent settings) in which time is a continuous process. The advantage of working in continuous time is that state changes occur sequentially, rather than simultaneously, eliminating a substantial curse of dimensionality that arises in multi-agent settings… (More)

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