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A consistent nonparametric test for linearity of AR(p) models
Fan, Yanqin
- In:
Economics letters
55
(
1997
)
1
,
pp. 53-59
Persistent link: https://www.econbiz.de/10001225284
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2
Bootstrapping J-type tests for non-nested regression models
Fan, Yanqin
- In:
Economics letters
48
(
1995
)
2
,
pp. 107-112
Persistent link: https://www.econbiz.de/10001190184
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3
On the density estimation of air pollution in Beijing
Fan, Yanqin
;
Hou, Lei
;
Yan, Karen X.
- In:
Economics letters
163
(
2018
),
pp. 110-113
Persistent link: https://www.econbiz.de/10011982975
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4
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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5
The positive-part Stein-rule estimator and tests of linear hypotheses
Ullah, Aman
- In:
Economics letters
1
(
1988
),
pp. 49-51
Persistent link: https://www.econbiz.de/10001042726
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6
Moments of OLS estimators in an autoregressive moving average model with explanatory variables
Ullah, Aman
- In:
Economics letters
21
(
1986
)
3
,
pp. 265-269
Persistent link: https://www.econbiz.de/10001016352
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7
Bias in the estimation of mean reversion in continuous-time Lévy processes
Bao, Yong
;
Ullah, Aman
;
Wang, Yun
;
Yu, Jun
- In:
Economics letters
134
(
2015
),
pp. 16-19
Persistent link: https://www.econbiz.de/10011432138
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8
The second-order bias of quantile estimators
Lee, Tae-hwy
;
Ullah, Aman
;
Wang, He
- In:
Economics letters
173
(
2018
),
pp. 143-147
Persistent link: https://www.econbiz.de/10012022969
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9
On the dominance of Mallows model averaging estimator over ordinary least squares estimator
Zhang, Xinyu
;
Ullah, Aman
;
Zhao, Shangwei
- In:
Economics letters
142
(
2016
),
pp. 69-73
Persistent link: https://www.econbiz.de/10011616687
Saved in:
10
A semiparametric conditional duration model
Dungey, Mardi H.
;
Long, Xiangdong
;
Ullah, Aman
;
Wang, Yun
- In:
Economics letters
124
(
2014
)
3
,
pp. 362-366
Persistent link: https://www.econbiz.de/10010495203
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