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ECONIS (ZBW)
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1
The comparability of the
EU
-SILC income variables : review and recommendations
Zardo Trindade, Lorena
;
Goedemé, Tim
-
Europäische Kommission / Statistisches Amt
-
2020
-
2020 edition
Persistent link: https://www.econbiz.de/10012221182
Saved in:
2
Micro- and macro-drivers of child deprivation in 31 European countries
Guio, Anne-Catherine
;
Marlier, Éric
;
Vandenbroucke, Frank
-
Europäische Kommission / Statistisches Amt
-
2020
-
2020 edition
Persistent link: https://www.econbiz.de/10012221192
Saved in:
3
Small area estimation for city statistics and other functional geographies
Münnich, Ralf T.
;
Burgard, Jan Pablo
;
Ertz, Florian
; …
-
Europäische Kommission / Statistisches Amt
-
2019
-
2019 edition
Persistent link: https://www.econbiz.de/10012163540
Saved in:
4
Preliminary harmonised estimates for life expectancy in 2022 based on weekly deaths data
Europäische Kommission / Statistisches Amt
-
2023
-
2023 edition
Persistent link: https://www.econbiz.de/10014441919
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5
Strategy to modernise agricultural statistics : new pathways for the future
Lampach, Nicolas
;
Maríınez-Solano, Domingo
-
Europäische Kommission / Statistisches Amt
-
2023
-
2023 edition
Persistent link: https://www.econbiz.de/10014441937
Saved in:
6
Comparison of key concepts on education expenditure between the UOE framework and national accounts framework
Europäische Kommission / Statistisches Amt
-
2023
-
2023 edition
Persistent link: https://www.econbiz.de/10014441938
Saved in:
7
Developing a space economy thematic account for Europe
Europäische Kommission / Statistisches Amt
-
2023
-
2023 edition
Persistent link: https://www.econbiz.de/10014441940
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8
Gender pay gaps in the European Union : a statistical analysis
Leythienne, Denis
;
Pérez-Julián, Marina
-
2021
-
2021 edition
Persistent link: https://www.econbiz.de/10012667278
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9
Improving the understanding of poverty and social exclusion in Europe
Guio, Anne-Catherine
(
ed.
);
Marlier, Éric
(
ed.
); …
-
2021
-
2021 edition
Persistent link: https://www.econbiz.de/10012667285
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10
Smart data for multinational enterprises (MNEs) : using open source data to obtain information on multinational enterprises
Papailias, Fotis
;
Balea, Virginia
;
Vlachou, Hionia
; …
-
2021
-
2021 edition
Persistent link: https://www.econbiz.de/10012667294
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