How Closely Do Top Income Shares Track Other Measures of Inequality
Bibliographic Data
| ID | 9714925 |
|---|---|
| Authors | Andrew Leigh (0000-0002-5639-0509, Australian National University, corresponding author) |
| Year | 2007 |
| Volume | 117 |
| Issue | 524 |
| Pages | F619-F633 |
| Publication date | 2007-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Economic Journal (JOURNAL) |
| Journal identifiers | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/j.1468-0297.2007.02099.x |
| OpenAlex | W2141361285 |
| Language | EN |
| Citations received | 66 |
| References cited | 25 |
In recent years, researchers have used taxation statistics to estimate the share of total income held by the richest groups, such as the top 10% or the top 1%. Compiling a standardised top income shares dataset for 13 developed countries, I find that there is a strong and significant relationship between top income shares and broader inequality measures, such as the Gini coefficient. This suggests that panel data on top income shares may be a useful substitute for other measures of inequality over periods when alternative income distribution measures are of low quality, or unavailable
Comprehensive income · Demographic economics · Distribution (mathematics · Econometrics · Economic inequality · Economics · Gini coefficient · Gross income · Income distribution · Income inequality metrics · Income shares · Inequality · Panel data · Public economics · Quality (philosophy · Economic theories and models · Economic Theory and Institutions · Income, Poverty, and Inequality · Mathematics
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| Unique citing works | 66 |
|---|---|
| Citations per year | 3,3 |
| Citation span | 2006 - 2025 (20) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 66 |