Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....

Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articlessuggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....

Given that structural labor supply models continue to play a key role in the process of policy design, it is important to validate their capacity to provide reasonable predictions of alternative hypothetical policy options. Comparing outcomes before and after a realized policy change (such as a...

Given that structural labor supply models continue to play a key role in the process of policy design, it is important to validate their capacity to provide reasonable predictions of alternative hypothetical policy options. Comparing outcomes before and after a realized policy change (such as a...

This working paper used measurements of accelerometer-based and self-reported physical activity from the National Health and Nutrition Examination Survey 2003–2006 to develop and validate a set of models for predicting objective moderate to vigorous physical activity from self-report...

Since its evolution, the concept of Entropy has been applied in various fields like Computer Science, Quantitative Finance, Physics etc. The definition of Entropy has slightly different meanings depending on the field of science to which it is being applied. This paper aims to examine the...