Modelling low income transitions
Stephen Jenkins and
Lorenzo Cappellari
No 2002-08, ISER Working Paper Series from Institute for Social and Economic Research
Abstract:
We 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). Our econometric model is a form of endogeneous switching regression, and is fitted using simulated maximum likelihood methods. The estimates, derived from British panel data for the 1990s, indicate that there is substantial genuine state dependence in poverty. We also provide estimates of low income transition rates and lengths of poverty and non-poverty spells for persons of different types.
Date: 2002-05-01
New Economics Papers: this item is included in nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Published
Downloads: (external link)
https://www.iser.essex.ac.uk/wp-content/uploads/fi ... ers/iser/2002-08.pdf (application/pdf)
Related works:
Journal Article: Modelling low income transitions (2004)
Working Paper: Modelling Low Income Transitions (2002)
Working Paper: Modelling Low Income Transitions (2002)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ese:iserwp:2002-08
Ordering information: This working paper can be ordered from
Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
https://www.iser.essex.ac.uk/publications/
Access Statistics for this paper
More papers in ISER Working Paper Series from Institute for Social and Economic Research Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK. Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Nears ().