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SOEP Survey Papers ; 1320 : Series G - General Issues and Teaching Materials / 2024
2024| Jürgen Schupp
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SOEP Survey Papers ; 1334 : Series C - Data Documentations (Datendokumentationen) / 2024
2024| Silvia Schwanhäuser, Lukas Olbrich
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SOEP Survey Papers ; 1337: Series A - Survey Instruments (Erhebungsinstrumente) / 2024
2024| Miriam Gauer, Selin Kara, SOEP Group
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Befragungsinstrument
2022| IAB-BiB/FReDA-BAMF-SOEP
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Befragungsinstrument
2023| IAB-BiB/FReDA-BAMF-SOEP
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SOEP Survey Papers ; 1317: Series D - Variable Description and Coding / 2024
2024| IAB-BIB/FReDA-BAMF-SOEP Group
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SOEP Survey Papers ; 1318: Series D - Variable Description and Coding / 2024
2024| IAB-BIB/FReDA-BAMF-SOEP Group
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SOEP Survey Papers ; 1319: Series D - Variable Description and Coding / 2024
2024| IAB-BIB/FReDA-BAMF-SOEP Group
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SOEP Survey Papers ; 1312: Series D - Variable Description and Coding / 2024
2024| SOEP Group
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The thesis combines four papers that introduce a coherent framework based on MERFs for the estimation of spatially disaggregated economic and inequality indicators and associated uncertainties. Chapter 1 focusses on flexible domain prediction using MERFs. We discuss characteristics of semi-parametric point and uncertainty estimates for domain-specific means. Extensive model- and design-based simulations ...
2022,
| Patrick Krennmair