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1
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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2
The simple econometrics of tail dependence
Oordt, Maarten R. C. van
;
Chen Zhou
- In:
Economics letters
116
(
2012
)
3
,
pp. 371-373
Persistent link: https://www.econbiz.de/10009674350
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3
Identification for difference in differences with cross-section and panel data
Lee, Myoung-jae
;
Kang, Changhui
- In:
Economics letters
92
(
2006
)
2
,
pp. 270-276
Persistent link: https://www.econbiz.de/10003360876
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4
Comparisons of stationary distributions of linear models
Zhu, Shenghao
- In:
Economics letters
119
(
2013
)
2
,
pp. 221-223
Persistent link: https://www.econbiz.de/10009745737
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5
Spectral density of Markov-switching VARMA models
Cavicchioli, Maddalena
- In:
Economics letters
121
(
2013
)
2
,
pp. 218-220
Persistent link: https://www.econbiz.de/10010346322
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6
Sunspot-driven fat tails : a note
Dave, Chetan
;
Sorge, Marco M.
- In:
Economics letters
193
(
2020
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012509122
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7
Semiparametric smooth-coefficient stochastic frontier model
Sun, Kai
;
Kumbhakar, Subal
- In:
Economics letters
120
(
2013
)
2
,
pp. 305-309
Persistent link: https://www.econbiz.de/10010128931
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8
Metafrontier efficiency analysis with convex and non-convex metatechnologies by stochastic nonparametric envelopment of data
Afsharian, Mohsen
- In:
Economics letters
160
(
2017
),
pp. 1-3
Persistent link: https://www.econbiz.de/10011903712
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9
A simple nonparametric test for structural change in joint tail probabilites
Krämer, Walter
;
Kampen, Maarten W. van
- In:
Economics letters
110
(
2011
)
3
,
pp. 245-247
Persistent link: https://www.econbiz.de/10009241481
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10
Estimation of extreme value-at-risk : an EVT approach for quantile GARCH model
Yi, Yanping
;
Feng, Xingdong
;
Huang, Zhuo
- In:
Economics letters
124
(
2014
)
3
,
pp. 378-381
Persistent link: https://www.econbiz.de/10010495168
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