Antithetic Acceleration and Estimation of Unobserved Heterogeneity Parameters

Abstract

We show that, besides the well-known advantage of antithetic acceleratation reducing the variance of simulation error, it also reduces bias associated with estimating variance terms such as unobserved heterogeneity variance parameters. We provide proofs of the relevant asymptotics and empirical evidence from a sequence of Monte Carlo experiments.