Müller, Ulrich K. - In: Journal of Business & Economic Statistics 32 (2014) 3, pp. 311-322
Applied work routinely relies on heteroscedasticity and autocorrelation consistent (HAC) standard errors when conducting inference in a time series setting. As is well known, however, these corrections perform poorly in small samples under pronounced autocorrelations. In this article, I first...