This blog is based on the book of the same name by Norbert Hirschauer, Sven GrĂĽner, and Oliver MuĂźhoff that was published in SpringerBriefs in Applied Statistics and Econometrics in August 2022. Starting from the premise that a lacking understanding of the probabilistic foundations of statistical inference is responsible for the inferential errors associated with the conventional routine of null-hypothesis-significance-testing (NHST), the book provides readers with an effective intuition and conceptual understanding of statistical inference.
[* EIR = Econometrics in Replications, a feature of TRN that highlights useful econometrics procedures for re-analysing existing research. The material for this blog is motivated by a recent blog at TRN, “ The problem isn’t just the p-value, it’s also the point-null hypothesis!” by Jae Kim and Andrew Robinson] In a recent blog, Jae Kim and Andrew Robinson highlight key points from their recent paper, “ Interval-Based Hypothesis Testing and Its Applications to Economics and Finance” (Econometrics, 2019).