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Journal of Applied Econometrics
Article . 2004 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
EconStor
Research . 2002
Data sources: EconStor
EconStor
Research . 2002
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EconStor
Research . 2002
Data sources: EconStor
PubliCatt
Article . 2004
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Modelling low income transitions

Authors: Cappellari, Lorenzo; Jenkins, Sp;

Modelling low income transitions

Abstract

AbstractWe examine the determinants of low income transitions using first‐order Markov models that control for initial conditions effects (those found to be poor in the base year may be a non‐random sample) and for attrition (panel retention may also be non‐random). The model estimates, derived from British panel data for the 1990s, indicate that there is substantial state dependence in poverty, separate from persistence induced by heterogeneity. We also provide estimates of low income transition rates and lengths of poverty and non‐poverty spells for persons of different types. Copyright © 2004 John Wiley & Sons, Ltd.

Countries
Italy, United Kingdom
Keywords

H Social Sciences (General), 330, 'Modelling low income transitions', Armut, Großbritannien, first-order Markov, C35, simulated maximum likelihood, I32, D31, state dependence, ddc:330, poverty dynamics, Ökonometrisches Modell, Mikroökonometrie, Soziale Mobilität, income, Niedrigeinkommen, Theorie, C23, Schätzung, jel: jel:C23, jel: jel:C35, jel: jel:D31, jel: jel:I32

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    selected citations
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    167
    popularity
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    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).
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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!
167
Top 1%
Top 1%
Top 10%
bronze