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person:"Imbens, Guido"
type_genre:"Working Paper"
~isPartOf:"Working papers / Department of Economics, The Johns Hopkins University"
~isPartOf:"Working papers / TSE : WP"
~person:"Weidner, Martin"
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Estimation theory
3
Schätztheorie
3
Bias
2
Nichtparametrisches Verfahren
2
Nonparametric statistics
2
Systematischer Fehler
2
Estimation
1
Generalisiertes lineares Modell
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instrumental variable
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Imbens, Guido
Weidner, Martin
Daouia, Abdelaati
10
Ruiz-Gazen, Anne
10
Gautier, Eric
7
Hu, Yingyao
7
Thomas-Agnan, Christine
7
Florens, Jean-Pierre
6
Jochmans, Koen
6
Stupfler, Gilles
6
Gadat, Sébastien
5
Beyhum, Jad
4
Laurent, Thibault
4
Lavergne, Pascal
4
Shum, Matthew
4
Simar, Léopold
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Costa, Manon
3
Gaillac, Christophe
3
Goga, Camelia
3
Morais, Joanna
3
Babii, Andrii
2
Beaumont, Jean-François
2
Dargel, Lukas
2
Dessertaine, Alain
2
Duffee, Greg
2
Enache, Andreea
2
Faugeras, Olivier
2
Gendre, Xavier
2
Girard, Stéphane
2
Hong, Han
2
Kim, Jihyun
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Lapenta, Elia
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Medous, Estelle
2
Padoan, Simone A.
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Puech, Pauline
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Ridder, Geert
2
Simioni, Michel
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Usseglio-Carleve, Antoine
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Van Keilegom, Ingrid
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Antoine, Bertille
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Working papers / Department of Economics, The Johns Hopkins University
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33
Technical working paper / National Bureau of Economic Research
15
Discussion paper series / Harvard Institute of Economic Research
12
Working paper / National Bureau of Economic Research, Inc.
12
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Discussion paper / Center for Economic Research, Tilburg University
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ECONIS (ZBW)
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Inference on a distribution from noisy draws
Jochmans, Koen
;
Weidner, Martin
-
2021
Persistent link: https://www.econbiz.de/10012698511
Saved in:
2
Bias in instrumental-variable estimators of fixed-effect models for count data
Jochmans, Koen
;
Weidner, Martin
-
2021
-
This version: October 29, 2021
Persistent link: https://www.econbiz.de/10012698513
Saved in:
3
Efficient estimation of average treatment effects : using the estimated propensity score
Hirano, Keisuke
(
contributor
);
Imbens, Guido
(
contributor
); …
-
2000
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001513097
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