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...

A correlation between regressors and disturbances presents challenging problems in linear regression. Issues like omitted variables, measurement error and simultaneity render ordinary least squares (OLS) biased and inconsistent. In the context of heteroscedastic linear regression, this note...

Purpose: To assess the predictive validity of Lott and Varney's (2022) ordinary least squares (OLS) multiple regression (MRA) causal model of the effect of immigrant population numbers, as a proportion of the total population, on the homicide victim rate for 31 European countries.Methods: The...

We provide necessary and sufficient conditions for expected utility and risk-averse expected utility to rationalize behavior when the decision maker faces linear probability-prize tradeoffs. The setting subsumes those proposed in Andreoni and Harbaugh (2009) and Crosetto and Filippin (2013). The...