LIS Cross-National Data Center in Luxembourg

🤝 Co-organized by
@liser.lu @lisdata.bsky.social @share-eric.bsky.social

Registration is free but required, please register until November 18.
🔗 More info & programme:
www.lisdatacenter.org/news-and-eve...

📣 2025 (LIS)²ER–SHARE Joint Workshop
#Pensions & Old-Age #WellBeing: Policy Challenges in #Ageing Societies

📅 27–28 Nov 2025 | 📍 #Luxembourg

Two days of research and discussion on ageing, health, retirement, and inequality, concluding with a policy roundtable on sustainable pension reforms.

📣 2025 (LIS)2ER-SHARE Joint workshop: #Pensions & Old-age #WellBeing: Policy Challenges in Ageing Societies

📅Nov. 27-28, 2025 in #Luxembourg

🤝Co-organized by @liser.lu @lisdata.bsky.social @share-eric.bsky.social

Registration is free but required

🔗Info: www.lisdatacenter.org/news-and-eve...

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5 / Find all here in the combined pdf version: lisdatacenter.org/wp-content/u...

4/ #InequalityMatters features three contributions:
🗒️Denys Orlov on savings, #financialliteracy & demographics in the UK
🗒️Chiara Mussida & Dario Sciulli on #inworkpoverty across 22 European countries
🗒️Jörg Neugschwender on household incomes in #Luxembourg & neighbours

3/ Other data updates:

LIS Database
▶️France: FR21, FR22
▶️Luxembourg: LU22, LU23
▶️Switzerland: CH20, CH21, CH22
▶️Uruguay: UY23, UY24
▶️Germany: DE21, DE22 (LIS + LWS now based on GSOEP-Core v40.1eu)

LWS Database
▶️UK: UK21 (LWS)

2/ The biggest news: India joins the LWS Database
Four datasets (IN91, IN02, IN12, IN18) from AIDIS/NSS rounds are now harmonised — bringing new insights from one of the world’s largest economies.

1/ The new issue of #InequalityMatters is out! 📊
It combines major LIS/LWS data updates with latest research on inequality.
lisdatacenter.org/wp-content/u...

Explore the full issue here: www.lisdatacenter.org/wp-content/u...
Subscribe to our mailing list here:
lisdatacenter.us17.list-manage.com/subscribe?u=...

"False Negatives? Earnings Underreporting, Tax Overreporting in Surveys Worldwide"
by Vladimir Hlasny
www.lisdatacenter.org/newsletter/n...

"Comparing Child Poverty Using the Luxembourg Income Study and Policy Recommendations"
by Jonathan Bradshaw, Gianluca Munalli, and Dominic Richardson
www.lisdatacenter.org/newsletter/n...

"Occupational Assortative Mating and Gender Inequality in Earnings"
by Supriya Lakhtakia, Deepak Malghan, and Hema Swaminathan
www.lisdatacenter.org/newsletter/n...

Updates to the LWS Database:
▶️ Mexico debuts in LWS with MX19
▶️ Spain: ES22
▶️ France: data revised and enriched

Updates to the LIS Database:
▶️ Bulgaria joins LIS (BG07–BG22)
▶️ Iceland: data annualised (IS03–IS17)
▶️ Palestine: PS23
▶️ Poland: 3 new datasets (PL21–PL23)

📢 New Data & Research Insights!
--#InequalityMatters, Issue 34, June 2025 is out!--
www.lisdatacenter.org/wp-content/u...

3/ 💰 Income Distribution Explorer
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...

2/ 📊 Inequality Explorer
Compare Gini coefficients across countries—how income is distributed after taxes. t.co/8P6ER2kQuk

3/ 💰 Income Distribution Explorer
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...

1/ 📉 Poverty Explorer
See how many people live below $30/day (after tax, adjusted for household size).
🔗 ourworldindata.org/explorers/po...

Announcing new features: better interactive maps Learn what’s new and try it out yourself.

🚨 New map features on @ourworldindata.org ! 🌍
OWID just rolled out upgrades to their data explorers—more intuitive, and easier to compare the LIS data.
ourworldindata.org/new-features...

Tools for LISSY Jobs A package with the tools needed to develop scripts with LIS data. It allows users to: 1) Read LIS data within the LISSY environment, or to use LIS sample files locally; 2) Carry out commonly performed...

🔗 Try it now
📦 lis-cross-national-data-center.github.io/lissyrtools/
💬 Feedback, issues, and ideas are welcome!
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🚀 Why use lissyrtools?
LIS/LWS data are powerful — but handling it can be complex.
lissyrtools helps researchers, students, and policymakers focus on insights, not infrastructure.
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🖥️ Prototype locally
Test code on built-in sample data, then run it on LISSY when you're ready.
🔗 www.lisdatacenter.org/data-access/...
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🔍 Metadata at your fingertips
Instantly check dataset or variable availability, labels, notes, and category definitions — without leaving R.
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📈 Ready for plotting
Transform results into tidy data.frames for compatible ggplot2 use.
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📋 Readable outputs
Compact, country-wise formats make outputs easy to scan, compare, and interpret.
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📊 Quick insights
Summarize distributions, magnitudes, and subgroup breakdowns — within countries over time, and across countries in one go.
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🪄 Effortless weighting
All aggregation functions incorporate survey weights seamlessly—stay accurate and representative.
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🔧 Flexible transformations
Easily handle currency conversion, equivalization, and outlier detection — all with built-in functions.
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🌍 Global harmonized data access
Load over 1,000 datasets from 50+ country series — in a single step.
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