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subject:"Indien"
subject:"Sparen"
~isPartOf:"Quaderni del Dipartimento di economia politica e statistica"
~subject:"Bayes-Statistik"
~subject:"Induktive Statistik"
~subject:"Simulation"
~type_genre:"Arbeitspapier"
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Indien
Sparen
Bayes-Statistik
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Estimation theory
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Schätztheorie
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IV-Schätzung
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Instrumental variables
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Maximum likelihood estimation
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heteroskedasticity
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jackknife
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many instruments
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Crudu, Federico
2
Di Biase, Rosa Maria
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1
Chiarucci, Alessandro
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De Santis, Riccardo
1
Franceschi, Sara
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Quaderni del Dipartimento di economia politica e statistica
CEMMAP working papers / Centre for Microdata Methods and Practice
74
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32
Working paper / Department of Econometrics and Business Statistics, Monash University
29
Working paper
23
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22
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19
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18
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15
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13
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12
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
11
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11
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Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München
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Discussion papers of interdisciplinary research project 373
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Design-based mapping of plant species presence, association and richness by nearest-neighbor interpolation
Bartolini, Alice
;
Di Biase, Rosa Maria
;
Fattorini, Lorenzo
-
2021
Persistent link: https://www.econbiz.de/10013165230
Saved in:
2
Variance estimation techniques for poverty and inequality measures from complex surveys : a simulation study
De Santis, Riccardo
;
Barabesi, Lucio
;
Betti, Gianni
-
2020
Persistent link: https://www.econbiz.de/10012492760
Saved in:
3
Inference in instrumental variables models with heteroskedasticity and many instruments
Crudu, Federico
;
Mellace, Giovanni
;
Sándor, Zsolt
-
2020
-
Versione aggiornata del Quaderno n. 761 novembre 2017
Persistent link: https://www.econbiz.de/10012177072
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4
Errors-in-variables models with many proxies
Crudu, Federico
-
2018
Persistent link: https://www.econbiz.de/10011847603
Saved in:
5
Joining the incompatible : exploiting floristic lists for the sample-based estimation of species richness
Chiarucci, Alessandro
;
Di Biase, Rosa Maria
;
Fattorini, …
-
2017
Persistent link: https://www.econbiz.de/10011853136
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