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accessRights:"restricted"
subject:"Bootstrap approach"
~isPartOf:"Journal of econometrics"
~person:"Chen, Xiaohong"
~source:"econis"
~subject:"Latent variables"
~subject:"Regression analysis"
~subject:"Schätzung"
~subject:"Semiparametric efficiency"
~subject:"Zeitreihenanalyse"
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Bootstrap approach
Latent variables
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Schätzung
Semiparametric efficiency
Zeitreihenanalyse
Estimation theory
5
Nichtparametrisches Verfahren
5
Nonparametric statistics
5
Schätztheorie
5
Multivariate Verteilung
2
Multivariate distribution
2
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2
Weighted average derivatives
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Nonparametric quantile instrumental variables
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Penalized sieve generalized empirical likelihood
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Chen, Xiaohong
Phillips, Peter C. B.
13
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9
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Fan, Yanqin
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Sasaki, Yuya
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Journal of econometrics
Handbook of econometrics : volume 6B
1
Source
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ECONIS (ZBW)
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1
Efficient estimation of average derivatives in NPIV models : Simulation comparisons of neural network estimators
Chen, Jiafeng
;
Chen, Xiaohong
;
Tamer, Elie T.
- In:
Journal of econometrics
235
(
2023
)
2
,
pp. 1848-1875
Persistent link: https://www.econbiz.de/10014471433
Saved in:
2
Copula-based time series with filtered nonstationarity
Chen, Xiaohong
;
Xiao, Zhijie
;
Wang, Bo
- In:
Journal of econometrics
228
(
2022
)
1
,
pp. 127-155
Persistent link: https://www.econbiz.de/10013441732
Saved in:
3
Efficient estimation of multivariate semi-nonparametric GARCH filtered copula models
Chen, Xiaohong
;
Huang, Zhuo
;
Yi, Yanping
- In:
Journal of econometrics
222
(
2021
)
1,2
,
pp. 484-501
Persistent link: https://www.econbiz.de/10012619712
Saved in:
4
Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions
Chen, Xiaohong
;
Pouzo, Demian
;
Powell, James
- In:
Journal of econometrics
213
(
2019
)
1
,
pp. 30-53
Persistent link: https://www.econbiz.de/10012304541
Saved in:
5
Semiparametric estimation of the bid-ask spread in extended roll models
Chen, Xiaohong
;
Linton, Oliver
;
Schneeberger, Stefan
; …
- In:
Journal of econometrics
208
(
2019
)
1
,
pp. 160-178
Persistent link: https://www.econbiz.de/10012139826
Saved in:
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