用SAFE数据探索中小企业融资的方法框架
Marie Finnegan1,2, Lucía Morales2
1School of Business, Atlantic Technological University, Galway, Ireland.
PloS one
|August 29, 2024
概括
本研究引入了一个框架,用于选择用于中小型企业 (中小企业) 融资研究的计量模型,使用企业融资准入调查 (SAFE) 数据. 它强调了线性概率模型 (LPM) 适合与探针模型和逻辑模型一起使用.
科学领域:
- 计量经济学 计量经济学
- 金融经济学 金融经济学
- 中小企业融资提供中小企业融资
背景情况:
- 中小企业对欧元区经济至关重要,占GDP的一半以上,雇佣1亿人.
- 关于中小企业获得融资的研究经常使用企业获得融资的调查 (SAFE) 数据.
- 现有的研究主要使用探针或逻辑模型,对模型选择的理由有限,缺乏稳定性测试.
研究的目的:
- 用SAFE数据解决用于中小企业融资研究的计量经济学模型选择的研究缺口.
- 引入一个强大的方法框架来选择合适的分类依赖模型.
- 在LPM,probit和logit模型中为模型选择提供基于证据的标准.
主要方法:
- 开发一个方法框架,采用模型选择的四个标准.
- 对线性概率模型 (LPM),探针模型和逻辑模型进行比较分析.
- 该框架应用于用于中小企业融资研究的SAFE数据.
主要成果:
- 试验模型通常是合适的,但在涉及货币政策和债务对资产或创新之间的相互作用的特定情况下,LPM是合适的.
- 确定了四个关键标准,以指导选择合适的计量经济模型.
- 证明了拟议的方法框架的有效性和实用性.
结论:
- 该研究提供了一个强大的方法来选择用于使用SAFE数据的中小企业融资研究的计量经济模型.
- 这些发现支持在特定情况下有效使用LPM,为更清晰的沟通提供了更简单的替代方案.
- 拟议的框架提高了关于中小企业获得融资的研究可靠性和可比性.
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