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Bootstrap approach
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Robust Bartlett adjustment for hypotheses testing on cointegrating vectors : a bootstrap approach
Canepa, Alessandra
-
2012
Persistent link: https://www.econbiz.de/10009573947
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2
Bootstrap Bartlett adjustment for hypotheses testing on cointegrating vectors
Canepa, Alessandra
-
2020
Persistent link: https://www.econbiz.de/10012386989
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3
Small sample adjustment for hypotheses testing on cointegrating vectors
Canepa, Alessandra
- In:
Journal of time series econometrics
14
(
2022
)
1
,
pp. 51-85
Persistent link: https://www.econbiz.de/10013260145
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4
Small sample adjustment for hypotheses testing on cointegrating vectors
Canepa, Alessandra
-
2021
Persistent link: https://www.econbiz.de/10013167436
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5
Testing conditional independence via empirical likelihood
Su, Liangjun
;
White, Halbert
- In:
Journal of econometrics
182
(
2014
)
1
,
pp. 27-44
Persistent link: https://www.econbiz.de/10010497148
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6
Bayesian moment-based inference in a regression model with misclassification error
Bollinger, Christopher R.
;
Hasselt, Martijn van
- In:
Journal of econometrics
200
(
2017
)
2
,
pp. 282-294
Persistent link: https://www.econbiz.de/10011917254
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7
Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes
Lv, Xiaofeng
;
Gupeng, Zhang
;
Xu, Xinkuo
;
Li, Qinghai
- In:
Journal of economic inequality
15
(
2017
)
2
,
pp. 195-216
Persistent link: https://www.econbiz.de/10011806598
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8
Survey weighted estimating equation inference with nuisance functionals
Zhao, Puying
;
Haziza, David
;
Wu, Changbao
- In:
Journal of econometrics
216
(
2020
)
2
,
pp. 516-536
Persistent link: https://www.econbiz.de/10012439754
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9
An improved bootstrap test for restricted stochastic dominance
Lok, Thomas M.
;
Tabri, Rami V.
- In:
Journal of econometrics
224
(
2021
)
2
,
pp. 371-393
Persistent link: https://www.econbiz.de/10013275388
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10
Semi-parametric inference on Gini indices of two semi-continuous populations under density ratio models
Yuan, Meng
;
Li, Pengfei
;
Wu, Changbao
- In:
The econometrics journal
26
(
2023
)
2
,
pp. 174-188
Persistent link: https://www.econbiz.de/10014319288
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