How to Construct Nationally Representative Firm Level Data from the ORBIS Global Database
How to Construct Nationally Representative Firm Level Data from the ORBIS Global Database
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如何从奥比斯全球数据库构建具有全国代表性的公司级数据
DOI：
10.2139/ssrn.2660191
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Sevcan Yeşiltaş
中科院分区：
文献类型：
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作者：
S. Kalemli‐Ozcan;Bent E. Sørensen;Carolina Villegas;V. Volosovych;Sevcan Yeşiltaş
关于生产率、金融活动和企业国际联系的企业层面数据已成为宏观、国际金融和增长领域研究的关键。本文描述了基于行政微观数据集 ORBIS 的公共和私营公司企业级全球面板数据集的开发，该数据集由 Bureau van Dijk Electronic Publishing (BvD) 商业提供。 ORBIS 数据库通过资产负债表和损益表提供有关公司财务和生产活动的数据，以及全球超过 1.3 亿家公司的国内和国际所有权结构的详细信息。在使数据库可用于研究之前，研究人员需要克服几个挑战。首先，该数据库并不是为计量经济分析所必需的大量下载而设计的。其次，数据库中存在一些固有的偏差，这些偏差会影响下载过程并导致信息丢失。第三，原始数据可能包含许多不规则之处，如果不进行处理，将导致标准清理过程中的数据丢失。综合起来，这些问题导致小企业覆盖面极小、数据大量缺失以及国家代表性较差。我们对 ORBIS 的数据收集过程在下载方法和清理程序方面提供了详细说明，以便研究人员能够构建一个具有全国代表性且缺失信息最少的数据库。我们提供了来自几个欧洲国家的示例来展示该过程并详细讨论生成的数据集。
Firm-level data on productivity, financial activity and firms' international linkages have become essential for research in the fields of macro, international finance and growth. This paper describes the development of a firm-level global panel dataset for public and private companies based on the administrative microdataset ORBIS, provided commercially by Bureau van Dijk Electronic Publishing (BvD). The ORBIS database provides data on firms' financial and productive activities from balance sheets and income statements together with detailed information on firms' domestic and international ownership structure for over 130 million companies across the world. Researchers need to overcome several challenges before making the database usable for research. First, the database is not designed for large downloads that is essential for an econometric analysis. Second, there are several inherent biases in the database that affect the download process and lead to missing information. Third, the raw data may contain a number of irregularities which, if not dealt with, will result in data loss during a standard cleaning procedure. In combination, these issues cause minimal coverage of small firms, extensive missing data, and poor national representation. We give detailed instructions on the data gathering process from ORBIS in terms of downloading methodology and cleaning procedure so that a researcher can construct a database that is nationally representative with minimal missing information. We provide examples from several European countries to present the process and discuss the resulting dataset in detail.