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Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.

p-value --- Bayesian --- model specification --- model testing --- reporting results (p-values) --- replications --- equivalence --- minimum-effect --- non-inferiority --- point-null hypothesis testing --- zero probability paradox --- t-statistic --- pretest estimator --- model averaging --- a priori procedure --- null hypothesis significance testing --- confidence intervals --- p-values --- estimation --- hypothesis testing --- replication crisis --- profit maximization --- market failure --- teaching of econometrics --- regression analysis --- economics pedagogy --- n/a