A selection criterion for choosing between functional forms of income distribution
- 1 January 1988
- journal article
- research article
- Published by Taylor & Francis in Econometric Reviews
- Vol. 7 (2) , 183-197
- https://doi.org/10.1080/07474938808800152
Abstract
The value of Elderton's k - criterion can be bounded for a given pdf. This paper presents these bounds for the most widely used distribution functions for income and computes the value of K for household incomes as reported in the Consumer Population Survey. The variance for theK are also estimated using the bootstrap, jackknife and delta methods. We find that the K can be used to narrow the field of potential pdfs for income and that all three methods for estimating the variance coincide in flagging low precision in the estimated K.Keywords
This publication has 7 references indexed in Scilit:
- Relative Price Changes and Inequality in the Size Distribution of Various Components of Income: A Multidimensional ApproachJournal of Business & Economic Statistics, 1987
- Some Generalized Functions for the Size Distribution of IncomeEconometrica, 1984
- A measure of income inequality in the U.S. for the years 1952–1980 based on the beta distribution of the second kindEconomics Letters, 1984
- The Jackknife, the Bootstrap and Other Resampling PlansPublished by Society for Industrial & Applied Mathematics (SIAM) ,1982
- Inequality Measures between Income Distributions with ApplicationsEconometrica, 1980
- A Convenient Descriptive Model of Income Distribution: The Gamma DensityEconometrica, 1974
- Density Estimation for Statistics and Data AnalysisPublished by Springer Nature ,1400