企业财务报表与竞争力:基于微观数据的欧洲非金融企业分析

N. Benatti, Annalisa Ferrando, P. Lamarche
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引用次数: 1

摘要

在实证分析中,微数据的使用经常遇到保密问题,特别是当数据来自不同国家时。解决这类问题的一种方法被称为“分布式微数据分析”,它提出了一种数据聚合,其中包含有关底层微数据分布的充分信息。在本文中,我们提出了一种反向分析,即一种模拟匿名企业微观数据的方法,该方法从分布式微观数据集开始,并使用关于最有可能重现原始微观数据集的残差分布的标准方程和假设。因此,本文提供了一个简单的工具来分析公司层面的财务比率,例如公司的杠杆率,盈利能力,以及跨国家,行业和公司规模的公司的生产力表现,即使公司层面的数据不容易获得。
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Firms’ Financial Statements and Competitiveness: An Analysis for European Non-Financial Corporations Using Micro-Based Data
In the empirical analysis the use of micro-data often encounters confidentiality issues, especially when data are derived from different countries. One way to tackle this type of problems is known as “distributed micro-data analysis”, which proposes an aggregation of data with sufficient information on the distribution of the underlying micro-based data. In this paper we propose an inverse analysis, i.e. a methodology to mimic the anonymised firms’ micro-data starting from a distributed micro-dataset and using standard equations and assumptions about the distribution of the residuals that are most likely to reproduce the original micro dataset. As a result this paper offers an easy tool to analyse the firm-level financial ratios, such as firms’ leverage, profitability, and productivity performance of firms across country, sector and firm size even when firm-level data are not readily available.
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