Forecast combinations have flourished remarkably in the forecasting community and, in
recent years, have become part of mainstream forecasting research and activities …

In many situations across computational science and engineering, multiple computational
models are available that describe a system of interest. These different models have varying …

The use of statistical significance and p-values has become a matter of substantial
controversy in various fields using statistical methods. This has gone as far as some journals …

'A brilliant new book'Daily Telegraph'Well written... and often entertaining'The Times' A
sparkling analysis' Prospect When uncertainty is all around us, and the facts are not clear …

In this paper, we discuss recent developments in econometrics that we view as important for
empirical researchers working on policy evaluation questions. We focus on three main …

Much economic advice is bogus quantification, warn two leading experts in this essential
book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we …

This paper is a tribute to researchers who have significantly contributed to improving and
advancing structural equation modeling (SEM). It is, therefore, a brief overview of SEM and …

There is growing interest in enhancing research transparency and reproducibility in
economics and other scientific fields. We survey existing work on these topics within …

I follow The Design of Experiments, using randomization statistical inference to test the null
hypothesis of no treatment effects in a comprehensive sample of 53 experimental papers …

The language and conceptual framework of “research reproducibility” are nonstandard and
unsettled across the sciences. In this Perspective, we review an array of explicit and implicit …