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accessRights:"restricted"
subject:"Bootstrap approach"
~person:"MacKinnon, James G."
~person:"Song, Xiaojun"
~subject:"Forecasting model"
~subject:"Prognoseverfahren"
~subject:"Statistical distribution"
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Search: subject_exact:"Estimation theory"
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Bootstrap approach
Forecasting model
Prognoseverfahren
Statistical distribution
Estimation theory
10
Schätztheorie
10
Bootstrap-Verfahren
9
Cluster analysis
5
Clusteranalyse
5
Clustered data
5
Cluster-robust variance estimator
4
Regional cluster
4
Regionales Cluster
4
Robust inference
4
Wild cluster bootstrap
4
Grouped data
3
Induktive Statistik
3
Statistical inference
3
Wild bootstrap
3
CRVE
2
Causality analysis
2
Kausalanalyse
2
Nichtparametrisches Verfahren
2
Nonparametric statistics
2
Statistical test
2
Statistischer Test
2
Time series analysis
2
Zeitreihenanalyse
2
Bootstrap
1
Cluster jackknife
1
Cluster-robust variance estimator (CRVE)
1
Common trends
1
Conditional quantiles
1
Difference-in-differences
1
Edgeworth expansion
1
Empirical processes
1
Estimation
1
Fixed effect
1
Heteroscedasticity
1
Heteroskedastizität
1
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1
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MacKinnon, James G.
Song, Xiaojun
Kumar, Dilip
8
Peng, Liang
7
Hoga, Yannick
6
Marcellino, Massimiliano
6
Nielsen, Morten Ørregaard
6
Sbrana, Giacomo
6
Shang, Han Lin
6
Taylor, Robert
6
Wu, Ximing
6
Zhang, Xinyu
6
Cai, Zongwu
5
Demetrescu, Matei
5
Hounyo, Ulrich
5
Inoue, Atsushi
5
Koop, Gary
5
Lee, Ji Hyung
5
Parmeter, Christopher F.
5
Rodrigues, Paulo M. M.
5
Taylor, James W.
5
Tu, Yundong
5
Webb, Matthew
5
Ardia, David
4
Cavaliere, Giuseppe
4
Fosten, Jack
4
Fung, Tsz Chai
4
Kapetanios, George
4
Kilian, Lutz
4
Kim, Donggyu
4
Koopman, Siem Jan
4
Linton, Oliver
4
Shi, Yanlin
4
Ullah, Aman
4
Wang, Shouyang
4
Wen, Kuangyu
4
Wied, Dominik
4
Xiao, Zhijie
4
Xie, Tian
4
Yang, Zhenlin
4
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Journal of econometrics
4
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
3
Econometric reviews
1
The econometrics journal
1
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ECONIS (ZBW)
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Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of econometrics
235
(
2023
)
2
,
pp. 2027-2056
Persistent link: https://www.econbiz.de/10014471443
Saved in:
2
Cluster-robust inference : a guide to empirical practice
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of econometrics
232
(
2023
)
2
,
pp. 272-299
Persistent link: https://www.econbiz.de/10014339912
Saved in:
3
Testing for trend specifications in panel data models
Wu, Jilin
;
Song, Xiaojun
;
Xiao, Zhijie
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
2
,
pp. 453-466
Persistent link: https://www.econbiz.de/10014448241
Saved in:
4
Measuring granger causality in quantiles
Song, Xiaojun
;
Taamouti, Abderrahim
- In:
Journal of business & economic statistics : JBES ; a …
39
(
2021
)
4
,
pp. 937-952
Persistent link: https://www.econbiz.de/10012653205
Saved in:
5
Wild bootstrap and asymptotic inference with multiway clustering
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of business & economic statistics : JBES ; a …
39
(
2021
)
2
,
pp. 505-519
Persistent link: https://www.econbiz.de/10012499095
Saved in:
6
A nonparametric specification test for the volatility functions of diffusion processes
Chen, Qiang
;
Hu, Meidi
;
Song, Xiaojun
- In:
Econometric reviews
38
(
2019
)
5
,
pp. 557-576
Persistent link: https://www.econbiz.de/10012181335
Saved in:
7
Specification tests for the propensity score
Sant'Anna, Pedro H. C.
;
Song, Xiaojun
- In:
Journal of econometrics
210
(
2019
)
2
,
pp. 379-404
Persistent link: https://www.econbiz.de/10012303538
Saved in:
8
Asymptotic theory and wild bootstrap inference with clustered errors
Djogbenou, Antoine A.
;
MacKinnon, James G.
;
Nielsen, …
- In:
Journal of econometrics
212
(
2019
)
2
,
pp. 393-412
Persistent link: https://www.econbiz.de/10012304028
Saved in:
9
The wild bootstrap for few (treated) clusters
MacKinnon, James G.
;
Webb, Matthew
- In:
The econometrics journal
21
(
2018
)
2
,
pp. 114-135
Persistent link: https://www.econbiz.de/10012166605
Saved in:
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