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isPartOf:"Working paper series / Australian Graduate School of Management, the University of New South Wales"
type:"book"
~isPartOf:"EUI working paper / ECO"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~subject:"Momentenmethode"
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Search: subject_exact:"Estimation theory"
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Momentenmethode
Estimation theory
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Statistical theory
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Sarafidis, Vasilis
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Working paper series / Australian Graduate School of Management, the University of New South Wales
EUI working paper / ECO
Working paper / Department of Econometrics and Business Statistics, Monash University
CEMMAP working papers / Centre for Microdata Methods and Practice
37
Cowles Foundation Discussion Paper
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CESifo working papers
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A linear estimator for factor-augmented fixed-t panels with endogenous regressors
Juodis, Arturas
;
Sarafid, Vasilis
-
2020
Persistent link: https://www.econbiz.de/10012606877
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2
On GMM inference : partial identification, identification strength, and non-standard asymptotics
Poskitt, Donald Stephen
-
2020
Persistent link: https://www.econbiz.de/10012610875
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3
Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure
Norkute, Milda
;
Sarafidis, Vasilis
;
Yamagata, Takashi
; …
-
2019
Persistent link: https://www.econbiz.de/10012606743
Saved in:
4
Bayesian indirect inference and the ABC of GMM
Creel, Michael D.
;
Gao, Jiti
;
Hong, Han
;
Kristensen, Dennis
-
2016
Persistent link: https://www.econbiz.de/10011781486
Saved in:
5
Testing for a structural break in dynamic panel data models with common factors
Zhu, Huanjun
;
Sarafidis, Vasilis
;
Silvapulle, Mervyn J.
; …
-
2015
Persistent link: https://www.econbiz.de/10011781404
Saved in:
6
A computational implementation of GMM
Gao, Jiti
;
Hong, Han
-
2014
Persistent link: https://www.econbiz.de/10011780875
Saved in:
7
Robust Bayesian exponentially tilted empirical likelihood method
Liu, Zhichao
;
Forbes, Catherine Scipione
;
Anderson, …
-
2017
Persistent link: https://www.econbiz.de/10011782265
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