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Economics Letters
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Economics Letters
Article . 2005 . Peer-reviewed
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Article . 2005
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Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models

Authors: BRUNO, GIOVANNI;

Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Related Organizations
Keywords

Time series, auto-correlation, regression, etc. in statistics (GARCH), Bias approximation; unbalanced panels; dynamic panel data, Point estimation, Monte Carlo methods, Monte Carlo experiment, bias approximation, unbalanced panels, dynamic panel data, Applications of statistics to economics

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    638
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
638
Top 0.1%
Top 1%
Top 10%
bronze