This paper shows that polynomial sieve estimators can predict arbitrary continuous functions on closed and bounded subsets of the reals. These predictions can be arbitrarily close irrespective of whether the sieve is estimated on the full domain or a strict and non-dense subset of the domain....

Solving problems related to econometrics requires a good knowledge of regression analysis concepts. The objective of this study is to evaluate students' difficulties resulting from the lack of knowledge of regression analysis concepts among economics students enrolled in the Master's cycle at...

The procedure for estimating probabilities of future investment returns using time-shifted indexes is based on the simple principle that a multi-dimensional conditional probability distribution can be envisioned involving investment total returns (for a single investment or a fixed portfolio of...

The procedure for estimating probabilities of future investment returns using time-shifted indexes is based on the simple principle that a multi-dimensional conditional probability distribution can be envisioned involving investment total returns (for a single investment or a fixed portfolio of...

Instructors and researchers have used the ‘flow' of knowledge (post-test score minus pre-test score) to measure learning in the classroom for the past fifty years. Walstad and Wagner (2016) and Smith and Wagner (2018) move this practice forward by disag- gregating the flow of knowledge and...

The intuition behind linear regression can be difficult for students to grasp particularly without a readily accessible context. This paper uses basketball statistics to demonstrate the purpose of linear regression and to explain how to interpret its results. In particular, the student will...