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ECONIS (ZBW)
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1
Estimating average treatment effect by model averaging
Gao, Yichen
;
Long, Wei
;
Wang, Zhengwei
- In:
Economics letters
135
(
2015
),
pp. 42-45
Persistent link: https://www.econbiz.de/10011434842
Saved in:
2
Proxy variables and nonparametric identification of causal effects
DeLuna, Xavier
;
Fowler, Philip
;
Johansson, Per-Olov
- In:
Economics letters
150
(
2017
),
pp. 152-154
Persistent link: https://www.econbiz.de/10011765095
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3
Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design
Lv, Xiaofeng
;
Sun, Xu-Ran
;
Lu, Yue
;
Li, Rui
- In:
Economics letters
184
(
2019
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012304774
Saved in:
4
Data-driven sensitivity analysis for
matching
estimators
Cerulli, Giovanni
- In:
Economics letters
185
(
2019
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012304959
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5
Partial identification of distributional and quantile treatment effects in difference-in-differences models
Fan, Yanqin
;
Yu, Zhengfei
- In:
Economics letters
115
(
2012
)
3
,
pp. 511-515
Persistent link: https://www.econbiz.de/10009632890
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6
A note on bounding average treatment effects
Lafférs, Lukáš
- In:
Economics letters
120
(
2013
)
3
,
pp. 424-428
Persistent link: https://www.econbiz.de/10010187273
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7
Submodel estimation of a structural vector error correction model under cointegration
Horrace, William C.
- In:
Economics letters
59
(
1998
)
1
,
pp. 23-29
Persistent link: https://www.econbiz.de/10001239105
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8
The treatment effect, the cross difference, and the interaction term in nonlinear "difference-in-differences" models
Puhani, Patrick A.
- In:
Economics letters
115
(
2012
)
1
,
pp. 85-87
Persistent link: https://www.econbiz.de/10009615309
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9
Weak convergence of local quantile treatment effect processes
Kim, Ju Hyun
;
Park, Byoung Gun
- In:
Economics letters
162
(
2018
),
pp. 49-52
Persistent link: https://www.econbiz.de/10011939753
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10
Sensitivity checks for the local average treatment effect
Huber, Martin
- In:
Economics letters
123
(
2014
)
2
,
pp. 220-223
Persistent link: https://www.econbiz.de/10010400276
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