One new dataset from the Czech Republic, CZ16 (Wave X) has been added to the LIS Database. The dataset is from the 2017 wave of the Survey on Income and Living Conditions (SILC) carried out by the Czech Statistical Office. In addition, an error in variable status1 (status in employment, main job) has been corrected […]
https://www.lisdatacenter.org/news-and-events/czech-republic-2016-added-to-the-lis-database/
Archives
Five new datasets from Canada, CA12 (Wave IX), CA14 (Wave IX), CA15 (Wave X), CA16 (Wave X), and CA17 (Wave X) have been added to the LIS Database. The datasets are based on the Canadian Income Survey (CIS) carried out by Statistics Canada. In addition, variables hc41 (actual rent), hc4 (actual rent and utilities), hxmort […]
https://www.lisdatacenter.org/news-and-events/canada-2012-2014-2015-2016-and-2017-added-to-lis-database/
LIS is delighted to announce the addition of Palestine to the LIS Database. One data point has been added, PS17 (Wave X). The dataset is based on the Household Expenditure and Consumption Survey, 2016/2017, carried out by the Palestinian Central Bureau of Statistics.
https://www.lisdatacenter.org/news-and-events/palestine-new-country-added-to-the-lis-database/
Five new datasets from Belgium, BE04 (Wave VI), BE07 (Wave VII), BE10 (Wave VIII), BE13 (Wave IX) and BE16 (Wave X) have been added to the LIS Database. The datasets are based on the 2005, 2008, 2011, 2014, and 2015 waves of the Survey on Income and Living Conditions (SILC) carried out by the Belgian […]
https://www.lisdatacenter.org/news-and-events/belgium-2004-2007-2010-2013-and-2016-added-to-lis-database/
One new dataset from Italy, IT16 (Wave X) has been added to the LWS Database. The dataset is derived from the 2016 wave of the Survey of Household Income and Wealth (SHIW), carried out by the Bank of Italy. Note that the SHIW data are used for the creation of the Household Finance and Consumption […]
https://www.lisdatacenter.org/news-and-events/italy-2016-added-to-the-lws-database/
Carlos Gradín showcases common inequality measures (Gini & Mean Log Deviation) decomposed by different social strata.
https://www.lisdatacenter.org/news-and-events/why-is-inequality-in-south-africa-higher-than-in-germany/
One new dataset from Italy, IT16 (Wave X) has been added to the LIS Database. The dataset is derived from the 2016 wave of the Survey of Household Income and Wealth (SHIW), carried out by the Bank of Italy. In addition, the provision of more detailed variables for taxes and social contributions (as simulated by […]
https://www.lisdatacenter.org/news-and-events/italy-2016-added-to-the-lis-database/
Data Scientist / Programmer espasareig@lisdatacenter.org bio Josep joined LIS in March 2020 as a Data Scientist. He holds an MSc in Social Policy Analysis from Leuven University and a Political BA in Political Science from Pompeu Fabra University. Before joining LIS, Josep worked as a Senior Statistician at the National Centre for Social Research (NatCen). […]
https://www.lisdatacenter.org/uncategorized/josep-espasa-reig/
In this article, Marco Ranaldi discusses a novel approach to distributional analysis.
https://www.lisdatacenter.org/news-and-events/income-composition-inequality-a-novel-approach-to-distributional-analysis/
In this article, Arthur B. Kennickell develops illustrative examples applied to the Survey of Consumer Finances to highlight some of the problems in making comparisons of wealth inequality measures when there are specific defects in the measurement of the upper tail of the distribution.
https://www.lisdatacenter.org/news-and-events/estimates-of-wealth-inequality-and-right-tail-coverage-an-illustration-of-oversampling-in-the-survey-of-consumer-finances/