LIS Cross-National Data Center in Luxembourg
@lisdata.bsky.social
LIS is a research center facilitating cross-national microdata analyses.
LIS is home to the ex-post harmonised Luxembourg Income Study (LIS) & Luxembourg Wealth Study (LWS) Databases.
https://www.lisdatacenter.org/
LIS is home to the ex-post harmonised Luxembourg Income Study (LIS) & Luxembourg Wealth Study (LWS) Databases.
https://www.lisdatacenter.org/
🤝 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...
@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...
LIS Cross-National Data Center in Luxembourg
www.lisdatacenter.org
November 13, 2025 at 2:08 PM
🤝 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...
@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...
5 / Find all here in the combined pdf version: lisdatacenter.org/wp-content/u...
lisdatacenter.org
September 16, 2025 at 7:08 AM
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
🗒️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
September 16, 2025 at 7:08 AM
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
🗒️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)
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)
September 16, 2025 at 7:08 AM
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)
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.
Four datasets (IN91, IN02, IN12, IN18) from AIDIS/NSS rounds are now harmonised — bringing new insights from one of the world’s largest economies.
September 16, 2025 at 7:08 AM
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.
Four datasets (IN91, IN02, IN12, IN18) from AIDIS/NSS rounds are now harmonised — bringing new insights from one of the world’s largest economies.
Explore the full issue here: www.lisdatacenter.org/wp-content/u...
Subscribe to our mailing list here:
lisdatacenter.us17.list-manage.com/subscribe?u=...
Subscribe to our mailing list here:
lisdatacenter.us17.list-manage.com/subscribe?u=...
www.lisdatacenter.org
June 16, 2025 at 3:11 PM
Explore the full issue here: www.lisdatacenter.org/wp-content/u...
Subscribe to our mailing list here:
lisdatacenter.us17.list-manage.com/subscribe?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...
by Vladimir Hlasny
www.lisdatacenter.org/newsletter/n...
LIS Cross-National Data Center in Luxembourg
www.lisdatacenter.org
June 16, 2025 at 3:11 PM
"False Negatives? Earnings Underreporting, Tax Overreporting in Surveys Worldwide"
by Vladimir Hlasny
www.lisdatacenter.org/newsletter/n...
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...
by Jonathan Bradshaw, Gianluca Munalli, and Dominic Richardson
www.lisdatacenter.org/newsletter/n...
LIS Cross-National Data Center in Luxembourg
www.lisdatacenter.org
June 16, 2025 at 3:11 PM
"Comparing Child Poverty Using the Luxembourg Income Study and Policy Recommendations"
by Jonathan Bradshaw, Gianluca Munalli, and Dominic Richardson
www.lisdatacenter.org/newsletter/n...
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...
by Supriya Lakhtakia, Deepak Malghan, and Hema Swaminathan
www.lisdatacenter.org/newsletter/n...
LIS Cross-National Data Center in Luxembourg
www.lisdatacenter.org
June 16, 2025 at 3:11 PM
"Occupational Assortative Mating and Gender Inequality in Earnings"
by Supriya Lakhtakia, Deepak Malghan, and Hema Swaminathan
www.lisdatacenter.org/newsletter/n...
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
▶️ Mexico debuts in LWS with MX19
▶️ Spain: ES22
▶️ France: data revised and enriched
June 16, 2025 at 3:11 PM
Updates to the LWS Database:
▶️ Mexico debuts in LWS with MX19
▶️ Spain: ES22
▶️ France: data revised and enriched
▶️ 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)
▶️ Bulgaria joins LIS (BG07–BG22)
▶️ Iceland: data annualised (IS03–IS17)
▶️ Palestine: PS23
▶️ Poland: 3 new datasets (PL21–PL23)
June 16, 2025 at 3:11 PM
Updates to the LIS Database:
▶️ Bulgaria joins LIS (BG07–BG22)
▶️ Iceland: data annualised (IS03–IS17)
▶️ Palestine: PS23
▶️ Poland: 3 new datasets (PL21–PL23)
▶️ Bulgaria joins LIS (BG07–BG22)
▶️ Iceland: data annualised (IS03–IS17)
▶️ Palestine: PS23
▶️ Poland: 3 new datasets (PL21–PL23)
3/ 💰 Income Distribution Explorer
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...
June 13, 2025 at 10:59 AM
3/ 💰 Income Distribution Explorer
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...
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
Compare Gini coefficients across countries—how income is distributed after taxes. t.co/8P6ER2kQuk
June 13, 2025 at 10:58 AM
2/ 📊 Inequality Explorer
Compare Gini coefficients across countries—how income is distributed after taxes. t.co/8P6ER2kQuk
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...
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...
June 13, 2025 at 10:48 AM
3/ 💰 Income Distribution Explorer
Dive into median incomes across countries and over time.
🔗 ourworldindata.org/explorers/in...
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...
See how many people live below $30/day (after tax, adjusted for household size).
🔗 ourworldindata.org/explorers/po...
June 13, 2025 at 10:48 AM
1/ 📉 Poverty Explorer
See how many people live below $30/day (after tax, adjusted for household size).
🔗 ourworldindata.org/explorers/po...
See how many people live below $30/day (after tax, adjusted for household size).
🔗 ourworldindata.org/explorers/po...
🔗 Try it now
📦 lis-cross-national-data-center.github.io/lissyrtools/
💬 Feedback, issues, and ideas are welcome!
12/12
📦 lis-cross-national-data-center.github.io/lissyrtools/
💬 Feedback, issues, and ideas are welcome!
12/12
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...
lis-cross-national-data-center.github.io
June 12, 2025 at 3:09 PM
🔗 Try it now
📦 lis-cross-national-data-center.github.io/lissyrtools/
💬 Feedback, issues, and ideas are welcome!
12/12
📦 lis-cross-national-data-center.github.io/lissyrtools/
💬 Feedback, issues, and ideas are welcome!
12/12
🚀 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.
11/12
LIS/LWS data are powerful — but handling it can be complex.
lissyrtools helps researchers, students, and policymakers focus on insights, not infrastructure.
11/12
June 12, 2025 at 3:09 PM
🚀 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.
11/12
LIS/LWS data are powerful — but handling it can be complex.
lissyrtools helps researchers, students, and policymakers focus on insights, not infrastructure.
11/12
🖥️ Prototype locally
Test code on built-in sample data, then run it on LISSY when you're ready.
🔗 www.lisdatacenter.org/data-access/...
10/12
Test code on built-in sample data, then run it on LISSY when you're ready.
🔗 www.lisdatacenter.org/data-access/...
10/12
June 12, 2025 at 3:09 PM
🖥️ Prototype locally
Test code on built-in sample data, then run it on LISSY when you're ready.
🔗 www.lisdatacenter.org/data-access/...
10/12
Test code on built-in sample data, then run it on LISSY when you're ready.
🔗 www.lisdatacenter.org/data-access/...
10/12
🔍 Metadata at your fingertips
Instantly check dataset or variable availability, labels, notes, and category definitions — without leaving R.
9/12
Instantly check dataset or variable availability, labels, notes, and category definitions — without leaving R.
9/12
June 12, 2025 at 3:09 PM
🔍 Metadata at your fingertips
Instantly check dataset or variable availability, labels, notes, and category definitions — without leaving R.
9/12
Instantly check dataset or variable availability, labels, notes, and category definitions — without leaving R.
9/12
📈 Ready for plotting
Transform results into tidy data.frames for compatible ggplot2 use.
8/12
Transform results into tidy data.frames for compatible ggplot2 use.
8/12
June 12, 2025 at 3:09 PM
📈 Ready for plotting
Transform results into tidy data.frames for compatible ggplot2 use.
8/12
Transform results into tidy data.frames for compatible ggplot2 use.
8/12