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Search: subject:"Incidental-parameter problem"
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Panel
26
incidental parameter problem
26
Panel study
23
Schätztheorie
19
Estimation theory
17
panel data
13
Bias
11
Incidental parameter problem
11
Nichtlineare Regression
11
Systematischer Fehler
11
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10
Nonlinear regression
10
Schätzung
10
fixed effects
9
bias correction
8
Bootstrap-Verfahren
7
consistency in estimation
7
model selection
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6
Gravitationsmodell
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jackknife
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dynamic panel data model with fixed effect
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unobserved heterogeneity
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GMM
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Induktive Statistik
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factor models
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gravity equation
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Free
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English
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Fernández-Val, Iván
18
Weidner, Martin
12
Chen, Mingli
5
Jochmans, Koen
5
Li, Guangjie
5
Dhaene, Geert
4
Gao, Wayne Yuan
4
Liao, Yuan
4
Vella, Francis
4
Carneiro, Anabela
3
Chernozhukov, Victor
3
Lee, Joonhwah
3
Portugal, Pedro
3
Raposo, Pedro
3
Rodrigues, Paulo M. M.
3
Sarafidis, Vasilis
3
Sun, Yutao
3
Higgins, Ayden
2
LI, Guangjie
2
Leon-Gonzalez, Roberto
2
Wansbeek, Tom
2
Andersen, Torben
1
Bartolucci, Francesco
1
Bellio, R.
1
De Fraja, G.
1
Fernandez-Val, Ivan
1
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1
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1
Hahn, Jinyong
1
Juodis, Artūras
1
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1
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1
Powell, James L.
1
Salvan, A.
1
Sartori, N.
1
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1
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Economics Section, Cardiff Business School
2
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1
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Journal of econometrics
7
CEMMAP working papers / Centre for Microdata Methods and Practice
6
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ECONIS (ZBW)
26
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1
Network and panel quantile effects via distribution regression
Chernozhukov, Victor
;
Fernández-Val, Iván
;
Weidner, Martin
- In:
Journal of econometrics
240
(
2024
)
2
,
pp. 1-28
Persistent link: https://www.econbiz.de/10015075113
Saved in:
2
Bootstrap inference for fixed-effect models
Higgins, Ayden
;
Jochmans, Koen
- In:
Econometrica : journal of the Econometric Society, an …
92
(
2024
)
2
,
pp. 411-427
Persistent link: https://www.econbiz.de/10014534921
Saved in:
3
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes
Fernández-Val, Iván
;
Gao, Wayne Yuan
;
Liao, Yuan
; …
-
2022
methods, which are debiased to deal with the
incidental
parameter
problem
. We propose a cross-sectional bootstrap method for …
Persistent link: https://www.econbiz.de/10013351775
Saved in:
4
Dynamic heterogeneous distribution regression panel models, with an application to labor income processes
Fernández-Val, Iván
;
Gao, Wayne Yuan
;
Liao, Yuan
; …
-
2022
methods, which are debiased to deal with the
incidental
parameter
problem
. We propose a cross-sectional bootstrap method for …
Persistent link: https://www.econbiz.de/10013253009
Saved in:
5
Bootstrap inference for fixed-effect models
Higgins, Ayden
;
Jochmans, Koen
-
2022
-
This version: April 5, 2022
Persistent link: https://www.econbiz.de/10013184462
Saved in:
6
Dynamic heterogeneous distribution regression panel models, with an application to labor income processes
Fernández-Val, Iván
;
Gao, Wayne Yuan
;
Liao, Yuan
; …
-
2022
methods, which are debiased to deal with the
incidental
parameter
problem
. We propose a cross-sectional bootstrap method for …
Persistent link: https://www.econbiz.de/10013187158
Saved in:
7
Dynamic heterogeneous distribution regression panel models, with an application to labor income processes
Fernández-Val, Iván
;
Gao, Wayne Yuan
;
Liao, Yuan
; …
-
2022
methods, which are debiased to deal with the
incidental
parameter
problem
. We propose a cross-sectional bootstrap method for …
Persistent link: https://www.econbiz.de/10013173197
Saved in:
8
The Persistence of Wages
Carneiro, Anabela
;
Portugal, Pedro
;
Raposo, Pedro
; …
-
2021
the importance of the
incidental
parameter
problem
, which induces a severe downward bias in the autoregressive parameter …
Persistent link: https://www.econbiz.de/10012882374
Saved in:
9
The persistence of wages
Carneiro, Anabela
;
Portugal, Pedro
;
Raposo, Pedro
; …
-
2021
the importance of the
incidental
parameter
problem
, which induces a severe downward bias in the autoregressive parameter …
Persistent link: https://www.econbiz.de/10012651711
Saved in:
10
The persistence of wages
Carneiro, Anabela
;
Portugal, Pedro
;
Raposo, Pedro
; …
- In:
Journal of econometrics
233
(
2023
)
2
,
pp. 596-611
Persistent link: https://www.econbiz.de/10014362666
Saved in:
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