Global Poverty and Inequality Data

Source: Cross-National Data Center in Luxembourg - Income Study https://www.lisdatacenter.org/

Data Dictionary:

gini - Gini Coefficient atk5 - Atkinson Coefficient (epsilon=0.5) atk1 - Atkinson Coefficient (epsilon=1) d9010 - Percentile Ratio (90/10) d9050 - Percentile Ratio (90/50) d8020 - Percentile Ratio (80/20) poorAll4 - Relative Poverty Rates - Total Population (40%) poorAll5 - Relative Poverty Rates - Total Population (50%) poorAll6 - Relative Poverty Rates - Total Population (60%) poorK4 - Relative Poverty Rates - Children (40%) poorK5 - Relative Poverty Rates - Children (50%) poorK6 - Relative Poverty Rates - Children (60%) poorE4 - Relative Poverty Rates - Elderly (40%) poorE5 - Relative Poverty Rates - Elderly (50%) poorE6 - Relative Poverty Rates - Elderly (60%) d5075 - Distribution of Children by Income Group (50-75%) d75150 - Distribution of Children by Income Group (75-150%) d150 - Distribution of Children by Income Group (above 150%) poortp - Children Poverty Rates - Two-Parent Families (50%) poorsm - Children Poverty Rates - Single-Mother Families (50%) pkidsm - % Children Living in Single-Mother Families eymed - Median Equivalized Income average - Mean Equivalized Income

Is the Gini Coefficient Enough? A Microeconomic Data Decomposition StudyIvan Skliarov, Lukasz Goczek (2023).List of data files: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. * LISSY is the remote-execution system allowing access to the Luxembourg Income Study database: https://www.lisdatacenter.org/data-access/lissy/.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, i.skliarov@student.uw.edu.pl.Lukasz Goczek, PhD: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, lgoczek@wne.uw.edu.pl.

These test data files were used to debug the code used in the following study: "Is the Gini Coefficient Enough? A Microeconomic Data Decomposition Study."

List of test data: 1. it14ih.dta - household-level dataset for Italy. 2. it14ip.dta - person-level dataset for Italy. 3. mx16ih.dta - household-level dataset for Mexico. 4. mx16ip.dta - person-level dataset for Mexico. 5. us18ih.dta - household-level dataset for the USA. 6. us18ip.dta - person-level dataset for the USA.

All files can be used for testing/debugging of the following scripts: lis_theil.R, lis_scv.R, lis_theil_functions.R, lis_scv_functions.R.

These datasets were donloaded from the following website. https://www.lisdatacenter.org/resources/self-teaching/.