Assessing Individual Income Growth
Bibliographic Data
| ID | 9726737 |
|---|---|
| Authors | Stephen P Jenkins (0000-0002-8305-9774, LSE), Philippe Van Kerm (0000-0002-0639-9097, Luxembourg Institute of Socio-Economic Research) |
| Year | 2016 |
| Volume | 83 |
| Issue | 332 |
| Pages | 679-703 |
| Publication date | 2016-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economica (JOURNAL) |
| Journal identifiers | ISSN: 0013-0427 • E-ISSN: 1468-0335 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/ecca.12205 |
| OpenAlex | W2465441120 |
| Language | EN |
| Citations received | 12 |
| References cited | 32 |
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 1992–6 was less pro‐poor than that for 1998–2002, and not significantly different from the pattern for 2001–5
Biology · Demographic economics · Dominance (genetics) · Econometrics · Economics · Estimation · Income distribution · Inequality · Inference · Perspective (graphical) · Computer Science · demographic modeling and climate adaptation · Global Health Care Issues · Income, Poverty, and Inequality · Mathematics
What’s behind pro-poor growth? The role of shocks and measurement error
Evaluating the Distributive Incidence of Growth Using Cross‐sections and Panels
Understanding trends and drivers of urban poverty in American cities
The Individual Poverty Incidence of Growth
Compassion and envy in distributional comparisons
On the social welfare interpretation of growth incidence curves
Distributional impacts of the Covid-19 pandemic and the Cares Act
Urban poverty
Income taxation and equity
What’s behind pro-poor growth? An investigation of its drivers and dynamics
An Index of Real National Growth
When mobility matters
A single-parameter generalization of the Gini indices of inequality
On an Extension of the Gini Inequality Index
Measuring pro-poor growth
Robust Locally Weighted Regression and Smoothing Scatterplots
The Measurement of Economic Inequality
The Comparison of Multi-Dimensioned Distributions of Economic Status
Statistical Inference with Generalized Gini Indices of Inequality, Poverty, and Welfare
The Rising Instability of U.S. Earnings
Removing the anonymity axiom in assessing pro-poor growth
Non-anonymous growth incidence curves, income mobility and social welfare dominance
Inequality Adjusted Income Growth
Measuring Movement of Incomes
| Unique citing works | 12 |
|---|---|
| Citations per year | 2 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 12 |