Jenkins, Stephen P. 
ORCID: 0000-0002-8305-9774 and van Kerm, Philippe
(2016)
Assessing individual income growth.
Economica, 83 (332).
pp. 679-703.
ISSN 0013-0427
|
PDF
- Accepted Version
Download (1MB) | Preview |
Abstract
We develop methods for describing distributions of income growth across individuals and for comparing changes in growth distributions over time. The methods include graphical devices (‘income growth profiles’) and dominance conditions, and also summary indices, together with associated methods of estimation and inference. Taking an explicitly longitudinal perspective, our approach illuminates clearly who are the gainers and the losers, and also provides distributionally-sensitive assessments – ones that allow the income growth for different individuals to be weighted differently. Our empirical application shows that the pattern of income growth in Britain over the period 1992–1996 was less pro-poor than that for 1998–2002 and not significantly different from the pattern for 2001–2005.
| Item Type: | Article |
|---|---|
| Official URL: | http://onlinelibrary.wiley.com/journal/10.1111/(IS... |
| Additional Information: | © 2016 The London School of Economics and Political Science |
| Divisions: | Social Policy |
| Subjects: | H Social Sciences > HC Economic History and Conditions H Social Sciences > HN Social history and conditions. Social problems. Social reform |
| JEL classification: | D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement I - Health, Education, and Welfare > I3 - Welfare and Poverty > I32 - Measurement and Analysis of Poverty |
| Date Deposited: | 23 Jun 2016 14:10 |
| Last Modified: | 15 Apr 2024 02:57 |
| URI: | http://eprints.lse.ac.uk/id/eprint/66995 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics