俄罗斯财务报表数据库:一个公司层面的财务报表的集合。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Sergey Bondarkov, Viktor Ledenev, Dmitry Skougarevskiy
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引用次数: 0

摘要

俄罗斯财务报表数据库(RFSD)是一个开放的,统一的收集了2011-2023年俄罗斯公司的年度未合并财务报表。这是第一个包含该国所有活跃公司信息的开放数据集,包括未提交文件的公司。RFSD收集了来自两个官方来源的5660万份公司年度地理观测数据,具有多种终端用户生活质量改善功能,如数据输入、语句表达、数据提供者和格式的协调以及数据丰富。广泛的内部和外部验证表明,大多数语句表达得很好,而它们的总量与地区GDP的相关性高于以前的网格化GDP数据产品。我们还通过比较被要求提交文件的公司的范围与实际的过滤器来检查报告偏差的方向和程度。RFSD可用于各种各样的经济应用,如微型模型的校准,价格和生产率的估计,或评估行业组织和市场力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Russian Financial Statements Database: A firm-level collection of the universe of financial statements.

Russian Financial Statements Database: A firm-level collection of the universe of financial statements.

Russian Financial Statements Database: A firm-level collection of the universe of financial statements.

Russian Financial Statements Database: A firm-level collection of the universe of financial statements.

The Russian Financial Statements Database (RFSD) is an open, harmonized collection of annual unconsolidated financial statements of the universe of Russian firms in 2011-2023. It is the first open data set with information on every active firm in the country, including non-filing firms. With 56.6 million geolocated firm-year observations gathered from two official sources, the RFSD features multiple end-user quality-of-life improvements such as data imputation, statement articulation, harmonization across data providers and formats, and data enrichment. Extensive internal and external validation shows that most statements articulate well while their aggregates display higher correlation with the regional GDP than the previous gridded GDP data products. We also examine the direction and magnitude of the reporting bias by comparing the universe of firms that are required to file with the actual filers. The RFSD can be used in various economic applications as diverse as calibration of micro-founded models, estimation of markups and productivity, or assessing industry organization and market power.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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