Purpose The study aims to determine whether there is a bidirectional causality relationship between health expenditures and per capita income in Brazil, Russia, India, China, South Africa and Turkey (BRICS+T). Design/methodology/approach For that purpose, the 2000-2018 period data of the...

This paper considers bootstrap inference in model averaging for predictive regressions. We firstshow that a naïve bootstrap approach, which consists of stacking all residuals at time t into a vector, and then resampling these cross-sectional vectors of residuals over time is invalid in the...

Advocates for education reforms frequently call for policies to increase school efficiency performance. The Greek educational system has undergone several reforms while the recent financial crisis alters significantly. Using a unique dataset this study attempts to shed light on 643 Greek...

Principal components analysis (PCA) is often used as a dimensionality reduction technique. A small number of principal components is selected to be used in a classification or a regression model to boost accuracy. A central issue in the PCA is how to select the number of principal components....

Fractile Graphical Analysis (FGA) was proposed by Prasanta Chandra Mahalanobis in 1961 as a method for comparing two distributions at two different points (of time or space) controlling for the rank of a covariate through fractile groups. We use bootstrap techniques to formalize the heuristic...

This paper examines prediction of U.S. bank failure with a probit model that uses bias-corrected technical efficiency estimated using bootstrap data envelopment analysis as the measure of management quality. The model is tested on a sample of failed and non-failed banks during the sub-prime...

For strategic and competitive insights, this study measures and benchmarks the comparative operating efficiencies of insurance companies in Taiwan and mainland China. We employ the two-stage DEA with the bootstrapped truncated regression approach to examine the overall efficiency of insurance...