Modelling low income transitions
Bibliographic Data
| ID | 23314925 |
|---|---|
| Authors | Lorenzo Cappellari (0000-0001-6791-3494, University of Essex, corresponding author), Stephen P Jenkins (0000-0002-8305-9774, University of Essex) |
| Year | 2004 |
| Volume | 19 |
| Issue | 5 |
| Pages | 593-610 |
| Publication date | 2004-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Applied Econometrics (JOURNAL) |
| Journal identifiers | ISSN: 1099-1255 • E-ISSN: 0883-7252 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/jae.778 |
| OpenAlex | W2144092436 |
| Language | EN |
| Citations received | 65 |
| References cited | 16 |
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). 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.
Attrition · Demographic economics · Econometrics · Economic growth · Economics · Markov chain · Panel data · Poverty · Random effects model · Sample (material) · Statistics · demographic modeling and climate adaptation · Housing, Finance, and Neoliberalism · Income, Poverty, and Inequality · Mathematics
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| Unique citing works | 65 |
|---|---|
| Citations per year | 3,25 |
| Citation span | 2006 - 2025 (20) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 63 |