Top Tweets for #lisdata
Arwa Z. Al-Riyami (@DrRiyamia) Presents Key Findings: AI Use in Transfusion Medicine is Nascent but Growing in the EMNA Region
https://t.co/1HLI8noUro
#EasternMediterraneanAndNorthAfrica #EMNA #AI #Health #Hematology #HemostasisToday #LISData #InventoryForecasting #Medicine #DonorDatabases #OptimizingBloodUse #MedEd #MedX
👇Since December 2024 the LIS & LWS databases contain more than 1000 datasets. This enables research on more than 30 Mio. households and 90 Mio individuals.
Explore our databases here: https://t.co/M8Zbo3aaim
#LISdata #inequality #poverty #research
This year, for the fifth time, LIS, @uni_lu and @LISERinLUX will jointly organize and teach the LIS #SummerWorkshop on "Comparative #Inequality Measurement using the LIS & LWS Databases"
https://t.co/m22CYf5do3 #lisdata #lwsdata
Interessante @AgendaAustria Analyse zum #Mittelstand in #Österreich
'Wer braucht schon die Mitte?' https://t.co/sURfeF1n6J #Austria #LISdata
I left Luxembourg with a heavier luggage than when I arrived: skills, knowledge & meeting fantastic people. Thanks to the @lisdata team and colleagues for the warm welcome and these beautiful days spent together☀🌻
#lisdata
#lissummerworkshop2022
#EconTwitter
Sesión de pitchs 🗣
👍🏼Enhorabuena por el trabajo @unav #IA y a todas las incansables startups
#solver
@coinscrap
@findoit_
#grabit
#neutaptic
#whitebox
#EarthPulse
#LisData
#Neuraptic
@Dedomena_ETL
Not a good news.
@lisdata has just published standardized Italian household survey data for 2016. If you compare real incomes in 2016 w/ 2008, not a single percentile is in the "black": everyone is poorer. The biggest losers are the poor & the rich.
Our study from 2018 shows great variance between countries both in child maintenance coverage and its contribution to lone mothers' income #childmaintenance #childsupport #lisdata @HakovirtaMia
Daniele Checchi & @JanetGornick opening the 28th LIS Summer Workshop - we are looking ahead to a full week of #inequality lectures, #LISdata and training with scholars from all around the world
https://t.co/BpR5qmCcga
Comparing top incomes between survey and tax data for the United States by @nishant_yonzan, @BrankoMilan, @MorelliSal, and @JanetGornick Inequality Matters, Issue No. 6
https://t.co/awR568QTwW …
#topincome #taxdata #surveydata #lisdata
A comparison of Poland with Germany in terms of inequality levels, poverty and wage growth, in the more than 20 years of #harmonised #lisdata, by Piotr Paradowski, @TeresaMunzi, and @jneugsch.
Inequality Matters, Issue No. 6
https://t.co/kgv3tE9IC3
#inequality #poverty #wages
Louis Chauvel takes a first look at the 12 new Chilean datasets in the #lisdata. Inequality Matters, Issue No. 6
https://t.co/ZdFGMBiOfW
#inequality #distribution #income #Gini #index #downtrend #lisdata
A snapshot on the immigrant-native wage gaps in 11 high-income #OECD countries using #lisdata from 2007 to 2014 by @andrej_cupak, d’Artis Kancs, and Pavel Ciaian. Inequality Matters, Issue No. 6
https://t.co/Lt4h5szAGb
Laura Policardo, Lionello F. Punzo, and Edgar J. Sanchez Carrera investigate what is behind the fall in inequality in the LAC region? Inequality Matters, Issue No. 6 https://t.co/g3fKUJGzyw
#inequality #LACs #lisdata #income #GDP
Twenty three new #microdata available through our remote access system! #LISdata #income #wealth
We just released data for Chile, Germany, Hungary, Israel, and Poland (LIS) https://t.co/eb8ZJKL10d
#LISdata: The structure of pension systems heavily affects the gender gap in pension income. See below Germany (no minimum pension) vs. Switzerland (low minimum pension)
But the real issue remains the #GenderPayGap during the working phase
>earlier post: https://t.co/1X4YlBtADL
#LISdata: strong #gendergaps in labour & pension income - Germany 2015.
Kernel density estimates illustrate well how unequal income is allocated between men and women and how much concentrated income is among the bottom.
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