Asymptotic unbiasedness refers to a property of an estimator where the bias approaches zero as the sample size approaches infinity, ensuring that the estimator converges in probability to the true parameter value. It is a crucial concept in statistics and econometrics, especially when dealing with large-sample inference, as it guarantees that any systematic error in estimation diminishes with larger samples.