{"title":"Firms’ Financial Statements and Competitiveness: An Analysis for European Non-Financial Corporations Using Micro-Based Data","authors":"N. Benatti, Annalisa Ferrando, P. Lamarche","doi":"10.2139/ssrn.2639171","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":236717,"journal":{"name":"ERN: Other Microeconomics: Intertemporal Firm Choice & Growth","volume":"275 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Microeconomics: Intertemporal Firm Choice & Growth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2639171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.