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Author: Maria-Pia Victoria-Feser

13 results found.

DARP Paper

Modelling Lorenz Curves: robust and semi-parametric issues

Frank A Cowell and Maria-Pia Victoria-Feser

Modelling Lorenz curves (LC) for stochastic dominance comparisons is central to the analysis of income distribution. It is conventional to use non-parametric statistics based on empirical income cumulants which are in th...Read more...

March 2007

DARP Paper

Distributional Dominance with Dirty Data, (published in Journal of Business and Economic Statistics, vol. 24 (2006), pp. 291-300)

Frank A Cowell and Maria-Pia Victoria-Feser

Distributional dominance criteria are commonly applied to draw welfare inferences about comparisons, but conclusions drawn from empirical implementations of dominance criteria may be influenced by data contamination. We ...Read more...

August 2001

DARP Paper

Robust Lorenz Curves: A Semiparametric Approach, (published in Journal of Economic Inequality, vol. 5 (2007), pp. 21-37)

Frank A Cowell and Maria-Pia Victoria-Feser

Lorenz curves and second-order dominance criteria are known to be sensitive to data contamination in the right tail of the distribution. We propose two ways of dealing with the problem: (1) Estimate Lorenz curves using p...Read more...

May 2001

DARP Paper

Robust Income Distribution Estimation with Missing Data

Maria-Pia Victoria-Feser

With income distributions it is common to encounter the problem of missing data. When a parametric model is fitted to the data, the problem can be overcome by specifying the marginal distribution of the observed data. Wi...Read more...

January 2001

DARP Paper

Statistical Inference for Welfare under Complete and Incomplete Information, (published in Journal of Economic Inequality, vol. 1 (2003), pp. 191-219)

Frank A Cowell and Maria-Pia Victoria-Feser

We show how a collection of results in the literature on the empirical estimation of welfare indicators from sample data can be unified. We also demonstrate how some of these ideas can be extended to empirically importan...Read more...

December 1999

DARP Paper

Statistical Inference for Lorenz Curves with Censored Data

Frank A Cowell and Maria-Pia Victoria-Feser

Lorenz curves and associated tools for ranking income distributions are commonly estimated on the assumption that full, unbiased samples are available. However, it is common to find income and wealth distributions that a...Read more...

June 1998

DARP Paper

Modelling Income Distribution in Spain: A Robust Parametric Approach

Mercedes Prieto Alaiz and Maria-Pia Victoria-Feser

This paper presents a robust estimation of two income distribution models using Spanish data for the period 1990-91 under three different concepts of income. The effect on the estimates of the Theil index due to the choi...Read more...

June 1996

DARP Paper

Robust Estimation of Income Distribution Models with Grouped Data, (revised version published in the Journal of the American Statistical Association 92 (1997), pp. 333-340)

Elvezio Ronchetti and Maria-Pia Victoria-Feser

An important aspect of income distribution is the modelling of the data using an appropriate parametric model. This involves estimating the parameters of the models, given the data at hand. Income data are typically in g...Read more...

June 1996

DARP Paper

Choosing Between Two Income Distribution Models with Contaminated Data, (revised version published in the Journal of the Royal Statistical Society, Serie B, 15 (1997), pp. 715-727)

Maria-Pia Victoria-Feser

Choosing between two income distribution models typically involves testing two non-tested hypotheses, that is hypotheses such that one cannot be obtained as a special or limiting case of the other. Cox (1961, 1962) propo...Read more...

March 1996

DARP Paper

Welfare Judgements in the Presence Contaminated Data, (published in Econometrica, vol. 70 (2002), pp. 1221-1233)

Frank A Cowell and Maria-Pia Victoria-Feser

The economic analysis of income distribution and related topics makes extensive use of dominance criteria to draw inferences about welfare comparisons. However it is possible that - just as some inequality statistics can...Read more...

January 1996

DARP Paper

Robustness properties of poverty indices, (Now published in European Economic Review, vol. 40 (1996), pp. 1761-1771)

Frank A Cowell and Maria-Pia Victoria-Feser

Drawing on recent work concerning the statistical robustness of inequality statistics we examine the sensitivity of poverty indices to data contamination using the concept of the influence function. We show that poverty ...Read more...

May 1994

DARP Paper

Robust estimation of personal income distribution models, (revised version published in The Canadian Journal of Statistics 22 (1994), pp. 247—258)

Maria-Pia Victoria-Feser

Statistical problems in modelling personal income distributions include estimation procedures, testing and model choice. Typically, the parameters of a given model are estimated by classical procedures such as maximum li...Read more...

October 1993

DARP Paper

Robustness Properties of Inequality Measures: The Influence Function and the Principle of Transfers (Revised version in Econometrica, 64 (1996), pp.77-101)

Frank A Cowell and Maria-Pia Victoria-Feser

Inequality measures are often used to summarise information about empirical income distributions. However , the resulting picture of the distribution and of the changes in the distribution can be severely distorted if th...Read more...

October 1993