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Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework

Earnings and consumption dynamics: a nonlinear panel data framework
Authors: Manuel Arellano; Richard Blundell; Stéphane Bonhomme;

Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
United Kingdom
Keywords

earnings dynamics, latent variables, quantile regression, ddc:330, earnings dynamics, consumption, panel data, quantile regression, latent variables, Earnings dynamics, panel data, D91, partial insurance, Nonparametric regression and quantile regression, consumption, nonlinear persistence, D31, Applications of statistics to economics, C23, jel: jel:D91, jel: jel:C23, jel: jel:D31

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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).
    133
    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 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 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
133
Top 1%
Top 10%
Top 10%
Green
bronze