This paper examines the prediction of IPO withdrawal using machine learning methods (lasso and random forest) and conventional regression (logit). The dataset comprises 2444 US first‐time IPOs from 1997 to 2014. Results show that random forest outperforms both logit and lasso in in‐sample...

This study examines the socio-economic externalities of two representative industrial parks(IPs) in Ethiopia: the privately-owned Eastern Industrial Park (EIP) and the state-owned Bole Lemi Industrial Park (BLI),especially on their distinct social and economic impacts. This study adopts a...

The traditional view of males as breadwinners and females as homemakers has shifted over time, resulting in many women engaging in formal and informal employment. However, the implications of this shift for work–family balance have not been adequately explored. This study compares women's...