In this paper, we propose an efficient weighted average estimator in Seemingly Unrelated Regressions. This average estimator shrinks a generalized least squares (GLS) estimator towards a restricted GLS estimator, where the restrictions represent possible parameter homogeneity specifications. The...

This paper proposes a new combined semiparametric estimator of the conditional variance that takes the product of a parametric estimator and a nonparametric estimator based on machine learning. A popular kernel-based machine learning algorithm, known as the kernel-regularized least squares...

Knowledge Management makes businesses sustainable and enhances their competitive edge. Therefore, this study aims to investigate the relationship between knowledge management and green product competitive advantage through the mediating role of green process innovation. To achieve the...

This article explores the impact of language proficiency on international trade by using panel data analysis. To do so, we construct a time-variant test-score-based measure of common language. Controlling for the standard gravity model variables, we find strong empirical evidence that English...

The high cost of medical care and its association with poverty have given rise to a growing concern for developing countries, but how insurance plans affect household income and alleviate poverty has been rarely discussed. This study aims to bridge this research gap by examining a medical...

Appropriate risk sharing is crucial for the successful implementation of Public-Private Partnership projects. However, under different social systems, the international community lacks a clear risk-sharing framework in Public-Private Partnership research. This study employs a multi-case study...