Publication type
Conference Paper
Series
International Conference on Panel Data
Authors
Publication date
July 5, 2002
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.
Related Publications
-
Modelling low income transitions
Lorenzo Cappellari, Stephen P. Jenkins,Journal Article - 20040601
-
Modelling Low Income Transitions
Lorenzo Cappellari, Stephen P. Jenkins,Conference Paper - 20020601
-
Modelling low income transitions
Lorenzo Cappellari, Stephen P. Jenkins,Research Paper - 20020501
-
Modelling low income transitions
Lorenzo Cappellari, Stephen P. Jenkins,ISER Working Paper Series - 20020501
-
Modelling Low Income Transitions
Lorenzo Cappellari, Stephen P. Jenkins,Conference Paper - 20020312
-
Modelling Low Income Transitions
Lorenzo Cappellari, Stephen P. Jenkins,Conference Paper - 20020130
-
Modelling Low Income Transitions
Lorenzo Cappellari, Stephen P. Jenkins,Conference Paper - 20011215
-
Modelling Low Income Transitions
Lorenzo Cappellari, Stephen P. Jenkins,Conference Paper - 20011215
-
Modelling Low Income Transitions
Lorenzo Cappellari, Stephen P. Jenkins,Conference Paper - 20011212
#517604