This paper illustrates a method for estimating equivalence scales, that is, the income required by one household to reach the same standard of living as another one. The original method considered in the present study was introduced by Kot in 2002, whereas here we formulate a different procedure based on the quantiles of the Dagum distribution. We estimate the scale parameter through the maximum likelihood method based on the results of the survey carried out by the Banca d¿Italia on the household income and wealth in 2002. The reason for the chosen method is based on the fact that the Dagum distribution fits the Italian income distribution well. Finally, two ways for finding the confidence interval for the elasticity of the equivalence scale are considered

Pollastri, A. (2007). Estimation of equivalence scales in italy based on income distribution. STATISTICA & APPLICAZIONI, 5(2), 131-140.

Estimation of equivalence scales in italy based on income distribution

POLLASTRI, ANGIOLA
2007

Abstract

This paper illustrates a method for estimating equivalence scales, that is, the income required by one household to reach the same standard of living as another one. The original method considered in the present study was introduced by Kot in 2002, whereas here we formulate a different procedure based on the quantiles of the Dagum distribution. We estimate the scale parameter through the maximum likelihood method based on the results of the survey carried out by the Banca d¿Italia on the household income and wealth in 2002. The reason for the chosen method is based on the fact that the Dagum distribution fits the Italian income distribution well. Finally, two ways for finding the confidence interval for the elasticity of the equivalence scale are considered
Articolo in rivista - Articolo scientifico
equivalence scales, Dagum distribution, maximum likelihood estimator, confidence interval
English
2007
5
2
131
140
open
Pollastri, A. (2007). Estimation of equivalence scales in italy based on income distribution. STATISTICA & APPLICAZIONI, 5(2), 131-140.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/3090
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