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Quantile treatment effects in the presence of covariates
Powell, David
- In:
The review of economics and statistics
102
(
2020
)
5
,
pp. 994-1005
Persistent link: https://www.econbiz.de/10012543526
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2
On policy evaluation with aggregate time-series instruments
Arkhangelsky, Dmitry
;
Korovkin, Vasily
-
2024
Persistent link: https://www.econbiz.de/10014507747
Saved in:
3
Non-random exposure to exogenous shocks : theory and applications
Borusyak, Kirill
;
Hull, Peter
-
2020
Persistent link: https://www.econbiz.de/10012306198
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4
Estimating and testing models with many treatment levels and limited instruments
Lochner, Lance
;
Moretti, Enrico
- In:
The review of economics and statistics
97
(
2015
)
2
,
pp. 387-397
Persistent link: https://www.econbiz.de/10011333155
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5
Treatment effect accounting for network changes
Comola, Margherita
;
Prina, Silvia
- In:
The review of economics and statistics
103
(
2021
)
3
,
pp. 597-604
Persistent link: https://www.econbiz.de/10012814316
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6
Nonparametric instrumental variable methods for dynamic treatment evaluation
Berg, Gerard J. van den
;
Bonev, Petyo
;
Mammen, Enno
- In:
The review of economics and statistics
102
(
2020
)
2
,
pp. 355-367
Persistent link: https://www.econbiz.de/10012499237
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7
Estimating the impacts of program benefits : using instrumental variables with underreported and imputed data
Stephens, Melvin
;
Unayama, Takashi
- In:
The review of economics and statistics
101
(
2019
)
3
,
pp. 468-475
Persistent link: https://www.econbiz.de/10012039417
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8
Testing local average treatment effect assumptions
Mourifié, Ismael
;
Wan, Yuanyuan
- In:
The review of economics and statistics
99
(
2017
)
2
,
pp. 305-313
Persistent link: https://www.econbiz.de/10011781052
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9
Filtered and unfiltered treatment effects with targeting instruments
Lee, Sokbae
;
Salanié, Bernard
-
2020
Persistent link: https://www.econbiz.de/10012251945
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10
Granular credit risk
Galaasen, Sigurd
;
Jamilov, Rustam
;
Juelsrud, Ragnar Enger
; …
-
2020
Persistent link: https://www.econbiz.de/10012314224
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