Varieties of gendered inequality outcomes
This article studies gender inequality trends before and after the global financial crisis across eight high-income countries
News
Who are the bachelors? – Capturing degree heterogeneity within the tertiary level in comparative perspective
This article gives some hints how in the LIS databases international and national classifications can be used for cross-national research with respect to coping with the diversity of tertiary degrees
Applications to the LIS Introductory Workshop, 21-26 May 2023 are Now Open!
LIS is happy to announce that its annual Workshop is taking place in Luxembourg from the 21st to 26th of May 2023.
Call for Visitors at LIS and LISER within the (LIS)2ER Initiative
Call for Visitors at LIS and LISER within the (LIS)2ER Initiative is Now Open!
LISSY System Access: Annual Renewal Required
Renewal of registration to access the LISSY Remote-Execution System is required
Welfare and Distributional Impact of Soaring Prices in Europe
This article addresses the cost of living crisis in six European countries : Finland, Hungary, Ireland, Lithuania, Luxembourg, and Portugal.
Three Tales of Gender Equality in a Post-Industrial World
This articles discusses the overall effect of increased female labour force participation on women’s economic position
3rd (LIS)2ER Workshop on Policies to Fight Inequality – Inflation, Energy Prices and Tax Policy: Effects on Consumption and Welfare
This article summarises the papers discussed during the 3rd (LIS)2ER Workshop on Policies to Fight Inequality
Upcoming (LIS)2ER workshop “Inflation, energy prices and tax policy: Effects on consumption and welfare”
We are happy to announce the upcoming (LIS)2ER workshop “Inflation, energy prices and tax policy: Effects on consumption and welfare”- from Thursday 1st December (mid-day) through Friday 2nd December (mid-afternoon)
Public issuance of GAO report on older household income, wealth, and survival
The U.S. Government Accountability Office has publicly released a new report that heavily uses the LWS data