Das Vertrauen der Bevölkerung gegenüber der Wissenschaft hängt in starkem Maß von der Art der Vermittlung wissenschaftlicher Erkenntnisse ab. Dabei ist es entscheidend, durch eine adäquate Interpretation statistischer Analysen eine vernünftige Bewertung der Zuverlässigkeit...

Financial education programs enjoy widespread governmental and financial industry support. They are considered an important tool for improving financial literacy, encouraging financial inclusion, and increasing consumer financial protection. Therefore, assessing their effectiveness is important...

Spanish Abstract: En este ensayo muestro que los modelos teóricos en finanzas y economía se usan de un modo que los vuelven “camaleones”, y que los camaleones devalúan la moneda intelectual y enturbian los debates de política. Un modelo se convierte en camaleón cuando se basa en...

In many areas of science including business disciplines, statistical decisions are often made almost exclusively at a conventional level of significance. Serious concerns have been raised that this contributes to a range of ill-practices such as p-hacking and data-mining that undermine research...

This study addresses the issue of the presence of a unit root on the growth rate estimation by the least-squares approach. We argue that when the log of a variable contains a unit root, i.e., it is not stationary then the growth rate estimate from the log-linear trend model is not a valid...

This note demonstrates that in applied regression analysis, the variance of a coefficient of interest may decrease from the inclusion of a control variable, contrasting with Clarke's assertion (2005, 2009) that the variance can only increase or stay the same. Practitioners may thus be...

In the physical sciences, order and disorder refer to the presence or absence of some symmetry or correlation in a many-particle system. It follows that it is important to examine whether there is any regularity hidden in the phase transition of the disorder-order relationship. In this paper a...

The paper proposes a new algorithm for finding the confidence set of a collection of forecasts or prediction models. Existing numerical implementations for finding the confidence set use an elimination approach where one starts with the full collection of models and successively eliminates the...

The objective of this research is to introduce in literature new measures of accuracy for point forecasts (radical of order n of the mean of squared errors, mean for the difference between each predicted value and the mean of the effective values, ratio of radicals of sum of squared errors...