News

2019 Winter Data Release

LIS is happy to announce the release of eight additional micro datasets to the LIS Database: ChileCL17 (Wave X), DenmarkDK16 (Wave X), GermanyDE16 (Wave X), MexicoMX14 (Wave IX), MX16 (Wave X) and MX18 (Wave XI), PeruPE16 (Wave X), and SloveniaSI15 (Wave X).

Two new countries have been added to the LWS Database, JapanJP14 (Wave IX), JP11 (Wave VIII), JP09 (Wave VII), and JP04 (Wave VI), and LuxembourgLU14 (Wave IX), LU10 (Wave VIII). In addition to one data point from GermanyDE17 (Wave X).

With this release, the following Datasets have been revised:

Luxembourg Income Study (LIS)

  • Chile (CL92, CL94, CL96, CL98, CL00, CL03, CL06, CL09, CL11, CL13, and CL15)
  • Denmark (DK10, and DK13)
  • Mexico (MX84, MX89, MX92, MX94, MX96, MX98, MX00, MX02, MX04, MX08, MX10, and MX12)
  • Peru (PE04, PE07, PE10, and PE13)
  • Slovenia (SI12, and SI97 )

Luxembourg Wealth Study (LWS)

  • Italy (IT95, and IT00 )

December 13, 2019 | News

Press release – Signing of an agreement between the Luxembourg Cooperation and LIS (11.12.2019)

Communicated by: Ministry of Foreign and European Affairs / Directorate for Development Cooperation and Humanitarian Action / STATEC / Luxembourg Income Study (LIS)

Paulette Lenert, Minister of Cooperation and Humanitarian Action and François Bourguignon, President of LIS: Cross-National Data Center in Luxembourg, have signed an agreement aimed at provision of unlimited access to LIS data to a large part of the United Nations agencies. As part of its overall strategy, the collection and dissemination of relevant data for sustainable development is a priority for the Luxembourg Cooperation.

LIS is a transnational data center located in Luxembourg serving a global community of researchers, educators and policymakers. It acquires data on the income, wealth, employment and demographics of many countries and harmonizes them to allow cross-country comparisons and make them publicly available through databases.

These data are useful for several UN agencies, and in particular for monitoring Sustainable Development Goals 1 and 10 (SDGs) on poverty and inequality. In particular, they make it possible to study trends and results in these areas. LIS has already collaborated with UN agencies UNDP, UNICEF, UN-Women, UNRISD and UN DESA.

The contribution of the Luxembourg Cooperation amounts to € 150,000 over a period of 5 years (2020-24).

The announcement of UN access to the LIS Data, is available here .

December 12, 2019 | Events

LIS is Hiring!

LIS is currently seeking applications for a

Microdata Expert (2-year contract)


Mission

The position involves joining the LIS data team in producing harmonised datasets. This includes evaluating the original datasets structure and quality (possibly working with data providers), harmonising original variables, documenting harmonisation methods and dataset specificities, assisting and instructing users.

Profile

  • The successful candidate will have a Master in statistics, sociology, economics, demography, or another social science.
  • Extensive experience in management of large micro datasets with a focus on income, consumption or wealth.
  • Knowledge of STATA is required; knowledge of R is an asset, as is experience working with the LIS data.
  • Excellent command of English is required, other languages are an asset.
  • Strong quantitative skills, abilities to pay attention to detail and to work closely within a team in a cooperative way.

Application process

Applicants should submit a cover letter and a Curriculum Vitae to Lucie Scapoli, admin@lisdatacenter.org , or mail to:

Lucie Scapoli

LIS: Cross-National Data Center in Luxembourg

Maison des Sciences Humaines

5e étage

11, porte des Sciences

L-4366 Esch-Belval

Luxembourg

Review of applications will begin 01 January 2020 and will continue until the position is filled.

November 28, 2019 | Jobs

2019 Autumn Data Release

LIS is happy to announce the release of six additional micro datasets to the Luxembourg Income Study (LIS) Database: Austria AT16 (Wave X), BrazilBR16 (Wave X), ColombiaCO16 (Wave X), FinlandFI16 (Wave X), and JapanJP13 (Wave IX), and JP10 (Wave VIII).

In addition, Spain has been added to the Luxembourg Wealth Study (LWS) Database: ES14 (Wave IX), ES11 (Wave VIII), ES08 (Wave VII), ES05 (Wave VI), and ES02 (Wave V).

With this release, the following Datasets have been revised:

  • United Kingdom (UK86, UK91, UK94, UK95, UK99, UK04, UK07, UK10, UK13,and UK16)
  • Panama (PA07,PA10,and PA13 )
  • Greece (GR95, and GR00)
  • Lithuania (LT10, and LT13)
  • Mexico (MX84,MX89, and MX92)

For more information on these revisions, please consult the “Data News” section of the September issue of the Inequality Matters newsletter, accessible here.

September 13, 2019 | News

New Data archiving system in LISSY

(applies only to datasets that went under revision after May/June 2019 and for journal review purposes only).

Following the release of the 2019 LIS Template in May/June 2019, LIS is happy to introduce a new data archiving system. With our mission to continue adding new datasets and new countries while maintaining cross-country comparability and high quality data, we foresee that we will occasionally carry out revisions to existing datasets. With this tool, users will be able to replicate the analysis that was carried out on datasets that were uploaded in LISSY after May/June 2019, and successively revised.

Note that due to the significant work required from our side to retrieve the archived data versions and to make them accessible through LISSY upon individual request, this tool can only be used for results replication for journal review purposes and for a period of maximum two weeks from the date the access is given.

How to request access to an earlier version of revised datasets?
In order to be able to replicate your analysis carried out on a pre-revised dataset, you need to write to the LIS user support at usersupport@lisdatacenter.org specifying the following:

  • The Database (LIS/LWS)
  • The Statistical package (Stata, R, SAS, SPSS).
  • Date of accessing the dataset(s) and running the analysis.

You will subsequently receive an e-mail with instructions on how to access the pre-revised datasets.

For users interested in accessing the Databases following the 2011 Template (i.e. the last version of the datasets on LISSY prior to May 2019 for LIS and mid-June for LWS), choose the project “LISPRE” from LISSY for the LIS Database, and “LWSPRE” for the LWS Database.

September 13, 2019 | News

2019 Summer Data Release

Following up on the release of the LIS Database in the beginning of May, now the LWS Database is available in the new template.

LIS is happy to announce the addition of two new countries to the Luxembourg Income Study (LIS) Database: Ivory Coast – CI02, CI08, and CI15, Vietnam – VN11, VN13). In addition, one micro dataset Spain – ES16 has been added.  

June 14, 2019 | News

Launch of the new OECD report on the middle class “Under Pressure: The Squeezed Middle Class”

On April 10th 2019, the OECD launched a new flagship report on the middle class: Under Pressure: The Squeezed Middle Class. The report makes heavy use of the LIS data, which is the main data source for two of the three main empirical chapters.

The report can be accessed through this link

June 14, 2019 | Ignore on home

UNDP Symposium on Measuring Inequality in the 21st Century

The UN Human Development Report Office, LIS, the Stone Center, UN-WIDER, and the World Inequality Lab have joined forces to host a Symposium on Measuring Inequality in the 21st Century on March 28-29 2019 at the UN Headquarters in New York.
The Symposium has revisited the frontier debate on inequality measurement with a view to generate a basic consensus on the issues and priorities to guide policy makers, inform intergovernmental consultations regarding the state of measures of inequality in the world, and push a collaborative agenda to refine concepts, data and methodological approaches on inequality.

June 14, 2019 | Ignore on home

The Legacy of Tony Atkinson in Inequality Analysis- Proceedings from the 2018 LIS/LWS User Conference

 This month, the proceedings of the 2018 LIS/LWS User Conference have been released. The LIS leadership decided to honor Tony Atkinson by dedicating this edition of the Users Conference to him. The conference was held in the Belval Campus of the University of Luxembourg on 3-4 May 2018.

This Conference Proceedings, edited by Andrea Brandolini, Daniele Checchi, Janet C. Gornick, and Timothy M. Smeeding, contain brief articles summarising the main results of thirteen papers presented at the conference.

PDF version is available here

Kindle version is available here

E-book version is available here

June 12, 2019 | News

Release of the 2019 LIS Template

Dear LIS users,

The motivation of this template revision stemmed from our determination to provide easier to use variables (clearer categories, definitions and aggregation rules), higher temporal and cross-country variables’ coverage, and more data points – possibly annual data series and expansion to new geographical areas.

As a result, we decided to implement a significant reduction in the number of the LIS variables to be included in the new template – from 737 to 191 – in conjunction with a reorganisation of all of the included variables. The reorganisation entailed adjusted definitions, refined categories and easier aggregation rules, as well as the introduction of few new crucial variables. For more information about the new variable list and user guide for LIS, see here. More information about the LWS new variable list and the user guide is available here.

With this revision, we believe we have achieved at least four major improvements: i) higher coverage of the income variables, ii) higher degree of data usability and comparability, iii) addition of new variables, and iv) extended documentation. We are confident that this template revision will also help us achieve new milestones in the near future. The flexibility offered by the new template will enable us to extend the LIS dataset coverage both in the temporal and geographical dimensions, as well as allow for a much easier introduction of new blocks of variables. For more information about the changes with respect to the old template, see here.

As of today, all the LIS datasets are available in the new template, and accessible through LISSY, while the LWS datasets will be available in the new template shortly. In addition, the pre-revised version of the data will remain accessible for a specific period of time so that the researchers can finalize their ongoing projects.

Overall we are proud of this further step towards increasing the quality and easing the use of the LIS databases. We continue in our policy of serving the research community with the best quality for the largest number of countries.

Daniele Checchi
Director of Luxembourg LIS Office
May 1st 2019

April 30, 2019 | News