We consider fully modified least squares estimation for systems of cointegrating polynomial regressions, i. e., systems of regressions that include deterministic variables, integrated processes and their powers as regressors. The errors are allowed to be correlated across equations, over time...

The United Nations Sustainable Development Goals (SDGs) 7, 11, and 12 are all aimed at advancing green energy consumption in the fight against the three planetary crises facing the world today: climate change, biodiversity loss, and pollution. Besides, Africa has an abundance of natural...

The study examines the intention of stock investors to adopt robo-advisers (also known as automated investing services) in financial investment decisions. Using an adapted questionnaire, we analyze data from 637 useable surveys. The study uses variance-based partial least squares structural...

This study estimates the factors influencing micro and small enterprise financial performance in the non-farm sector of Ghana. Data was sourced from Ghana ECG/ISSER Socio-Economic Panel Survey in 2010. The study is underpinned by the resource-based view theory of firm performance. Ordinary least...

Credit risk in financial institutions has been widely debated among experts and legislators as a substantial risk to the financial industry's health. In addition to examining bank-specific and macroeconomic reasons, the study examines the impacts of political institutions and macroprudential...

Treatment effects are often estimated by the least squares estimator controlling for some covariates. This paper investigates its properties. When the propensity score is constant, it is a consistent estimator of the average treatment effects if it is viewed as a semiparametric partially linear...

Amid growing concern over global climate change, the steel industry, which has historically made significant contributions to facilitating modern life by providing products that make the civilized world possible, has been singled out as being responsible for 7% to 9% of global carbon dioxide...

When a sample combines data from two or more groups, multivariate regression yields a matrix-weighted average of the group-specific coefficient vectors. However, it is possible that the weighted average of a specific coefficient falls outside the range of the group-specific coefficients, and it...

In this paper, we propose the Fama-Macbeth (FM) regression with sparsity, which is named FM-LASSO. We impose a l2 penalty across time to make sure that the factors are sparse. The factors in our model are shrinked with consistency. If a factor is 0 once, then it is always 0. If a factor is not...