Data

New Norwegian Datasets Added to the LWS Database

We are delighted to announce that we have acquired wealth microdata from Norway. As of today, two datasets, NO10 (Wave VIII) and NO13 (Wave IX) are available in the LWS Database.

The datasets are derived from the fully register-based Household Income and Wealth Statistics maintained by Statistics Norway (SSB).

September 12, 2016 | Data

Germany 2013 Added to the LIS Database

One new dataset from Germany, DE13, (WaveIX), has been added to the LIS Database.

The dataset is from the 2014 data (wave 31) of the German Socio-Economic Panel (GSOEP), which is carried out by the German Institute for Economic Research (DIW).

In addition to releasing the Wave IX dataset, the 7 earlier German datasets based on the same survey (DE10/07/04/00/94/89/84) have been revised for consistency.

See Revision notes for details.

September 12, 2016 | Data

Norway 2013 Added to the LIS Database

One new dataset from Norway, NO13, (WaveIX), has been added to the LIS Database.

The dataset is derived from the fully register-based Household Income Statistics maintained by Statistics Norway (SSB).

In addition to releasing the Wave IX dataset, the two earlier Norwegian LIS datasets based on the same source (NO10/07) have been revised for consistency.

See Revision notes for details.

September 12, 2016 | Data

Finland 2013 Added to the LIS Database

One new dataset from Finland, FI13, (WaveIX), has been added to the LIS Database.

The dataset is from the 2014 wave of the Survey on Income and Living Conditions (SILC), which is carried out by Statistics Finland.

In addition to releasing the Wave IX dataset, 5 earlier Finnish datasets (FI10/07/04/00/95) have been revised for consistency.

See Revision notes for details.

July 1, 2016 | Data

New US Datasets Added to the LWS Database

Five datasets from the United States, US95, US98, US01, US04 and US07, have been added to the LWS Database.

The datasets are from the Survey of Consumer Finances (SCF), carried out by the Board of Governors of the Federal Reserve System.

Please note that these datasets were included in the LWS pilot database but have been reworked, based on the improved wealth conceptual framework.

June 30, 2016 | Data

New Country: Data from Paraguay Now Available in the LIS Database

We are delighted to announce that we have acquired, for the first time, microdata from Paraguay. As of today, two datasets, PY10 (Wave VIII) and PY13 (Wave IX), are available in the LIS Database.

The datasets are respectively from the 2010 and 2013 waves of the Continuous Household Survey (EPH), which are carried out by the Department of Statistics, Surveys and Censuses of Paraguay Government (DGEEC).

May 30, 2016 | Data

Luxembourg 2013 Added to the LIS Database

One new dataset from Luxembourg, LU13, (Wave IX), has been added to the LIS Database.

The dataset is from the 2014 wave of Socio-Economic Panel “Living in Luxembourg” / Panel socio-économique “Liewen zu Letzebuerg” (PSELL III), carried out by the Luxembourg Institute of Socio-Economic Research (LISER).

In addition to releasing the Wave IX dataset, the the whole Luxembourgish series, all based on the same survey, has been revised for consistency.

See Revision notes for details.

May 30, 2016 | Data

Slovenia 2012 Added to the LIS Database

One new dataset from Slovenia, SI12 (Wave IX), has been added to the LIS Database

The dataset is from the 2012 wave of Household Budget Survey (HBS), which is carried out by the Statistical Office of the Republic of Slovenia.

In addition to releasing the Wave IX dataset, the Slovenian datasets from the previous two waves (SI07 and SI10), which are based on the same survey, have been slightly revised for consistency.

See Revision notes for details.

May 30, 2016 | Data

NYT Database Updated, Complementary Database Added

We have updated the LIS / New York Times Income Distribution Database that we added to the LIS website in April 2014. This database, which contains detailed information on the distribution and growth of household income across countries, has been updated to include later microdata and to change from 2005 to 2011 PPPs.

We have also added a related database: the Incomes across the Distribution Database (2016), assembled by Stefan Thewissen, Brian Nolan and Max Roser (Institute for New Economic Thinking at the Oxford Martin School, University of Oxford). This database also includes detailed information on income distributions. It contains information on total household income, both disposable and market income, and for entire populations as well as working-age populations.

We encourage you to explore both databases. See “Resources”, then “Other Databases”.

May 24, 2016 | Data

New Luxembourg Wealth Study (LWS) Database is launched

Today, LIS is taking an exciting step forward by introducing an expanded and updated version of the Luxembourg Wealth Study (LWS) Database.

Launched in 2007 as a pilot project, the LWS Database has provided opportunities for research on wealth and debt. In the intervening nine years, LIS has contributed to, and gained from, networks of wealth researchers and experts at the OECD and ECB. These ventures have led to improved international standards and better practices for collecting and analysing micro statistics on household wealth.

One outcome of these collaborations is a redesigned LWS Database. Our upgraded database embodies a cutting-edge conceptual framework and improved standards for the analysis of household wealth. The new LWS Database ensures high quality and comparability across countries.

Today, we are releasing 12 newly harmonised datasets, from seven countries: Australia, Canada, Finland, Greece, Italy, the United Kingdom, and the United States. The reference years range from 2005 to 2013. The number of LWS datasets will continue to increase; more extensive data holdings will enable new lines of research on wealth and debt across countries and, to some extent, over time.

The LWS Database includes harmonized microdata on various aspects of household balance sheets, as well as related economic, demographic, and behavioral variables. The data enable distributional analyses on household assets and liabilities, which are particularly important for gaining a comprehensive understanding of households’ financial stability.

We anticipate that the common variables in the LWS and LIS Databases, specifically income, expenditures, and a range of demographic and economic characteristics, will facilitate the use of the new LWS datasets by our large community of LIS Database users. With these new LWS datasets, our data users will be able to jointly assess multiple dimensions of household economic well-being, namely wealth, income and (in some datasets) consumption.

Last, but not least, we will continue to make available the pilot version of the LWS Database and, over time, we will harmonize some of these earlier datasets into the new LWS Database.

May 2, 2016 | Data