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type:"article"
~subject:"Bias"
~subject:"Schätzung"
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Dependence-robust inference using resampled statistics
Leung, Michael P.
- In:
Journal of applied econometrics
37
(
2022
)
2
,
pp. 270-285
Persistent link: https://www.econbiz.de/10013165233
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2
Split-panel jackknife estimation of fixed-effect models
Dhaene, Geert
;
Jochmans, Koen
- In:
The review of economic studies
82
(
2015
)
3
,
pp. 991-1030
Persistent link: https://www.econbiz.de/10011346122
Saved in:
3
Jackknife for bias reduction in predictive regressions
Zhu, Min
- In:
Journal of financial econometrics : official journal of …
11
(
2013
)
1
,
pp. 193-220
Persistent link: https://www.econbiz.de/10009708916
Saved in:
4
The WTO trade effect
Chang, Pao-li
;
Lee, Myoung-jae
;
Rancière, Romain
- In:
Journal of international economics
85
(
2011
)
1
,
pp. 53-71
Persistent link: https://www.econbiz.de/10009356264
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5
A comparison of pre and post modern portfolio theory using resampling
Galloppo, Giuseppe
- In:
Global journal of business research : GJBR
4
(
2010
)
1
,
pp. 1-16
Persistent link: https://www.econbiz.de/10003955402
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6
Development of standard error estimation methods in complex household sample surveys in Poland
Kordos, Jan
;
Zięba-Pietrzak, Agnieszka
- In:
Statistics in transition : an international journal of …
11
(
2010
)
2
,
pp. 231-252
Persistent link: https://www.econbiz.de/10009153592
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7
Jackknife estimator for tracking error variance of optimal portfolios
Basak, Gopal Krishna
;
Jagannathan, Ravi
;
Ma, Tongshu
- In:
Management science : journal of the Institute for …
55
(
2009
)
6
,
pp. 990-1002
Persistent link: https://www.econbiz.de/10003865939
Saved in:
8
Jackknifing bond option prices
Phillips, Peter C. B.
;
Yu, Jun
- In:
The review of financial studies
18
(
2005
)
2
,
pp. 707-742
Persistent link: https://www.econbiz.de/10002882119
Saved in:
9
A note on resampling the integration across the correlation integral with alternative ranges
Belaire-Franch, Jorge
- In:
Econometric reviews
22
(
2003
)
4
,
pp. 337-349
Persistent link: https://www.econbiz.de/10001843549
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