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Their study introduces a three stage DEA framework that employs random forest as a powerful ensemble method for variable selection to search most influential environmental variables. In management, economics and finance, regression analysis is largely used. It applies earnings management-based models, based on financial ratios and earnings management variables, to a sample of 6000 French small and medium-size enterprises, then compares the classification rates obtained by these models with a model based solely on financial ratios. This approach combines the standard quantile regression analysis with nonparametric estimations and allows examining how different quantiles of natural disasters affect different quantiles of GDP growth. [Extracted from the article]

This study analyses the implications of Jeffery–Lindley's paradox and Global Financial Crisis (GFC) for the operational aspect of macroeconomic policy coordination for financial stability. Using a Bayesian Vector Auto-regressive model and data from Jan 1985 to June 2016, our key findings suggest that the claim of macroeconomic policy interaction, interdependence and significance of coordinated policy operations for the financial stability holds its ground. The argument in the support for policy coordination for financial stability was found to be robust against the Jeffreys–Lindley's paradox and in the Post-GFC era. A profound practical, operational and philosophical implication of this study is the positive aspects of Jeffreys–Lindley's paradox and the possibility of employing the Frequentist and Bayesian estimation techniques as complementing rather competing frameworks. [ABSTRACT FROM AUTHOR]