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https://doi.org/10.1920/wp.cem...
Report . 2002
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EconStor
Research . 2002
Data sources: EconStor
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Non-linear models with panel data

descriptionPublicationkeyboard_double_arrow_right Report , Research 01 Jul 2002Publisher:IFSJournal:Working Paper Series (issn: 1753-9196, Copyright policy )
Authors: Honoré, Bo E.;

doi: 10.1920/wp.cem.2002.1302

handle: 10419/79346

Non-linear models with panel data

Abstract

Panel data play an important role in empirical economics. With panel data one can answer questions about microeconomic dynamic behavior that could not be answered with cross sectional data. Panel data techniques are also useful for analyzing cross sectional data with grouping. This paper discusses some issues related to specification estimation of nonlinear models using panel data.

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Keywords

Nichtlineares Verfahren, ddc:330, Panel, Theorie, C23, panel data , nonlinear models , fixed effects , random effects

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    Impact byBIP!
    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).
    		 11
    popularity
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    		 Average
    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 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
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!
11
Average
Top 10%
Average