{"title":"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","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":"{\"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}","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}
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.