five

Random effect regression result.

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Random_effect_regression_result_/24351181
下载链接
链接失效反馈
官方服务:
资源简介:
The study examines the financial distress situation and its determinants in insurance sectors in Ethiopia. To achieve study objectives, revised Altman‘s 2000 is adopted to measure the financial distress situation. The study adopted an explanatory research design with an arrangement of secondary data analysis via document analysis, quantitative approach, and deductive method of inquiry. The study used panel data from ten insurance companies over the study period 2010/11-2020/21. Descriptive and regression analyses were performed to analyze the data using STATA 14. Econometric model estimation procedures and multiple regression assumptions were tested accordingly. The random effect regression result revealed that firm-specific factors (liquidity and profitability) have a significant positive association, whereas firm size significantly negatively impacts financial distress. While the random effect regression result also proposed inflation has a positive and significant association with financial distress. However, firm-specific factors (revenue growth and leverage) have positive and negative, respectively, and macroeconomic factors (Gross Domestic Product) have positive but statically insignificant to the financial distress situation of insurance sectors in Ethiopia.
创建时间:
2023-10-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作