Data files

Is the Gini Coefficient Enough? A Microeconomic Data Decomposition StudyIvan Skliarov, Lukasz Goczek (2023).<br>List of data files:<br>1. theil_raw.csv - data obtained from LISSY using the lis_theil.R script.*2. scv_raw.csv - data obtained from LISSY using the scv_theil.R script.*3. hdi.csv - Human Development Index and its components.4. gini.csv - Gini coefficient from SWIID 9.4.5. wdi.csv - World Development Indicators from the World Bank.6. wgi.csv - World Governance Indicators from the World Bank.7. govcon.csv - government consumption (% of GDP) from UNCTAD.8. theil_fin.csv - final dataset (1, 3-7 combined), which is used in lis_analysis.do.9. scv_fin.csv - final dataset (2-7 combined), which is used in lis_analysis.do.10. indexes.csv - only within and between-cohort components of the Theil index and SCV with imputed values (see lis_analysis.do) for Georgia and Lithuania, which is used in lis_plot.R. <br>* LISSY is the remote-execution system allowing access to the Luxembourg Income Study database: https://www.lisdatacenter.org/data-access/lissy/.<br>For questions about this research please contact:Ivan Skliarov, MA: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, [e-mail] Goczek, PhD: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, [e-mail].《基尼系数足够吗？一项微观经济数据分解研究》，伊万·斯克利亚罗夫（Ivan Skliarov）、武卡什·戈奇克（Lukasz Goczek）（2023）。<br>数据文件清单：<br>1. theil_raw.csv：通过lis_theil.R脚本从LISSY获取的原始数据*<br>2. scv_raw.csv：通过scv_theil.R脚本从LISSY获取的原始数据*<br>3. hdi.csv：人类发展指数（Human Development Index）及其构成分项<br>4. gini.csv：源自SWIID 9.4的基尼系数（Gini Coefficient）<br>5. wdi.csv：世界银行发布的世界发展指标（World Development Indicators）<br>6. wgi.csv：世界银行发布的世界治理指标（World Governance Indicators）<br>7. govcon.csv：联合国贸易和发展会议（UNCTAD）发布的政府消费（占GDP比重）<br>8. theil_fin.csv：最终数据集（合并1、3-7项数据），用于lis_analysis.do脚本<br>9. scv_fin.csv：最终数据集（合并2-7项数据），用于lis_analysis.do脚本<br>10. indexes.csv：仅包含泰尔指数（Theil index）与SCV的组内、组间分解项，以及针对格鲁吉亚和立陶宛的插补值（详见lis_analysis.do），用于lis_plot.R脚本。<br>* LISSY是可访问卢森堡收入研究数据库的远程执行系统，访问网址：https://www.lisdatacenter.org/data-access/lissy/。<br>若对本研究存有疑问，请联系：<br>伊万·斯克利亚罗夫，硕士：波兰华沙大学经济学院，地址：波兰华沙Długa 44/50，邮编00-241，电子邮箱：[e-mail]。<br>武卡什·戈奇克，博士：波兰华沙大学经济学院，地址：波兰华沙Długa 44/50，邮编00-241，电子邮箱：[e-mail]。