Some Sampling Properties of a Model for Income Distribution
Bibliographic Data
| ID | 19418705 |
|---|---|
| Authors | David C Schmittlein (The Wharton School, University of Pennsylvania, corresponding author) |
| Year | 1983 |
| Volume | 1 |
| Issue | 2 |
| Pages | 147-153 |
| Publication date | 1983-04-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07350015.1983.10509333 |
| OpenAlex | W2001574732 |
| Language | EN |
| Citations received | 3 |
| References cited | 18 |
A recently proposed model for describing the distribution of income over a population, based on the Burr distribution, has been shown to fit better than the commonly used lognormal or gamma distributions. The current article extends that analysis by deriving the large-sample properties of the maximum likelihood estimates for this three-parameter model. Consequently, resulting confidence intervals for some measures of income inequality (including the Gini index) are used to further test the model's validity, as well as to examine apparent trends in inequality over time. Since these properties depend on the way the income data are grouped and censored, implications for choosing data-report intervals can be analyzed. Specifically, a choice between two common methods of reporting the data is shown to have an important impact on Gini index estimates
Econometrics · Economics · Income distribution · Inequality · Mathematical analysis · Statistics · Agricultural risk and resilience · Computer Science · Income, Poverty, and Inequality · Mathematics · Statistical Distribution Estimation and Applications
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,08 |
| Citation span | 1990 - 2023 (34) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |