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Maria-Pia Victoria-Feser

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Philippe HUBER & Olivier SCAILLET & Maria-Pia VICTORIA-FESER, 2008. "Assessing multivariate predictors of financial market movements: A latent factor framework for ordinal data," Swiss Finance Institute Research Paper Series 08-45, Swiss Finance Institute.

    Cited by:

    1. Cai, Jing-Heng & Song, Xin-Yuan & Lam, Kwok-Hap & Ip, Edward Hak-Sing, 2011. "A mixture of generalized latent variable models for mixed mode and heterogeneous data," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2889-2907, November.

  2. Frank A Cowell & Maria-Pia Victoria-Feser, 2007. "Modelling Lorenz Curves:robust and semi-parametric issues," STICERD - Distributional Analysis Research Programme Papers 91, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    2. Eckerstorfer, Paul & Steiner, Viktor & Wakolbinger, Florian, 2013. "Steuerreformvorschläge in der Diskussion: Eine Mikrosimulationsanalyse der Aufkommens-, Beschäftigungs- und Verteilungswirkungen für Österreich," Discussion Papers 2013/17, Free University Berlin, School of Business & Economics.

  3. Cédric Perret-Gentil & Maria-Pia Victoria-Feser, 2005. "Robust Mean-Variance Portfolio Selection," FAME Research Paper Series rp140, International Center for Financial Asset Management and Engineering.

    Cited by:

    1. Hubert, Mia & Dierckx, Goedele & Vanpaemel, Dina, 2013. "Detecting influential data points for the Hill estimator in Pareto-type distributions," Computational Statistics & Data Analysis, Elsevier, vol. 65(C), pages 13-28.
    2. Bartosz Kaszuba, 2012. "Empirical Comparison of Robust Portfolios’ Investment Effects," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(1), pages 047-061, June.
    3. Anna Chernobai and Svetlozar T. Rachev, . "Applying robust methods to operational risk modeling," Journal of Operational Risk, Journal of Operational Risk.
    4. Giuseppe Pandolfo & Carmela Iorio & Roberta Siciliano & Antonio D’Ambrosio, 2020. "Robust mean-variance portfolio through the weighted $$L^{p}$$ L p depth function," Annals of Operations Research, Springer, vol. 292(1), pages 519-531, September.
    5. Aida Toma & Samuela Leoni-Aubin, 2015. "Robust Portfolio Optimization Using Pseudodistances," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-26, October.
    6. Stanislav Škapa & Tomáš Meluzín & Marek Zinecker, 2013. "A critical evaluation of risk-return characteristics of environmentally focused stock's companies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(2), pages 501-506.

  4. Frank A Cowell & Maria-Pia Victoria-Feser, 2001. "Distributional Dominance with Dirty Data," STICERD - Distributional Analysis Research Programme Papers 51, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Frank A Cowell & Julie Litchfield, 1999. "Income Inequality Comparisons with Dirty Data: The UK and Spain during the 1980s," STICERD - Distributional Analysis Research Programme Papers 45, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Cowell, Frank & Victoria-Feser, Maria-Pia, 2001. "Robust Lorenz curves : a semi-parametric approach," LSE Research Online Documents on Economics 2155, London School of Economics and Political Science, LSE Library.
    3. Lubrano, Michel & Protopopescu, Camelia, 2004. "Density inference for ranking European research systems in the field of economics," Journal of Econometrics, Elsevier, vol. 123(2), pages 345-369, December.
    4. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.
    5. Josep Oliver Alonso & Xavier Ramos & José Luis Raymond-Bara, 2001. "Recent trends in Spanish Income Distribution: A Robust Picture of Falling Income Inequality," Working Papers wp0107, Department of Applied Economics at Universitat Autonoma of Barcelona.

  5. Frank A Cowell & Maria-Pia Victoria-Feser, 2001. "Robust Lorenz Curves: A Semiparametric Approach," STICERD - Distributional Analysis Research Programme Papers 50, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Frank A. Cowell & Emmanuel Flachaire, 2007. "Income distribution and inequality measurement: The problem of extreme values," Post-Print halshs-00176029, HAL.
    2. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 2006. "Distributional Dominance With Trimmed Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 291-300, July.
    3. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.
    4. Hasegawa, Hikaru & Kozumi, Hideo, 2003. "Estimation of Lorenz curves: a Bayesian nonparametric approach," Journal of Econometrics, Elsevier, vol. 115(2), pages 277-291, August.

  6. Victoria-Feser, M.-P., 2000. "Robust Portfolio Selection," Papers 2000.14, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.

    Cited by:

    1. Giuseppe Pandolfo & Carmela Iorio & Roberta Siciliano & Antonio D’Ambrosio, 2020. "Robust mean-variance portfolio through the weighted $$L^{p}$$ L p depth function," Annals of Operations Research, Springer, vol. 292(1), pages 519-531, September.
    2. Cédric Perret-Gentil & Maria-Pia Victoria-Feser, 2005. "Robust Mean-Variance Portfolio Selection," FAME Research Paper Series rp140, International Center for Financial Asset Management and Engineering.

  7. Frank A Cowell & Maria-Pia Victoria-Feser, 1999. "Statistical Inference for Welfare under Complete and Incomplete Information," STICERD - Distributional Analysis Research Programme Papers 47, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Cowell, Frank & Victoria-Feser, Maria-Pia, 2001. "Distributional dominance with dirty data," LSE Research Online Documents on Economics 2239, London School of Economics and Political Science, LSE Library.
    2. Cowell, Frank & Victoria-Feser, Maria-Pia, 2001. "Robust Lorenz curves : a semi-parametric approach," LSE Research Online Documents on Economics 2155, London School of Economics and Political Science, LSE Library.
    3. Susan Harkness, 2004. "Social and Political Indicators of Human Well-being," WIDER Working Paper Series RP2004-33, World Institute for Development Economic Research (UNU-WIDER).

  8. Frank A Cowell & Maria-Pia Victoria-Feser, 1998. "Statistical Inference for Lorenz Curves with Censored Data," STICERD - Distributional Analysis Research Programme Papers 35, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Chiara Gigliarano & Pietro Muliere, 2013. "Estimating the Lorenz curve and Gini index with right censored data: a Polya tree approach," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 105-122, September.
    2. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.

  9. Mohamed Ayadi & Mohamed Salah Matoussi & Maria-Pia Victoria-Feser, 1998. "Urban Rural Poverty Comparisons in Tunisia: A Robust Statistical Approach," Working Papers 9818, Economic Research Forum, revised 11 Dec 1998.

    Cited by:

    1. Mohamed Ayadi & Mohamed Salah Matoussi & Maria-Pia Victoria-Feser, 2001. "Putting Robust Statistical Methods into Practice: Poverty Analysis in Tunisia," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 137(III), pages 463-482, September.
    2. Samir Ghazouani & Mohamed Goaied, 2001. "The Determinants of Urban and Rural Poverty in Tunisia," Working Papers 0126, Economic Research Forum, revised 09 Jun 2001.

  10. Mercedes Prieto Alaiz & Maria-Pia Victoria-Feser, 1996. "Modelling Income Distribution in Spain: A Robust Parametric Approach," STICERD - Distributional Analysis Research Programme Papers 20, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Carmelo Garcia Perez & Mercedes Prieto Alaiz, 2011. "Using the Dagum model to explain changes in personal income distribution," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4377-4386.
    2. Christophe Muller, 2006. "Poverty Simulation And Price Changes," Working Papers. Serie AD 2006-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Christophe Muller, 2005. "Defining Poverty Lines As A Fraction Of Central Tendency," Working Papers. Serie AD 2005-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Christophe Muller, 2001. "The Properties of the Watts Poverty Index under Lognormality," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-9.
    5. Ivana Malá, 2013. "Použití konečných směsí logaritmicko-normálních rozdělení pro modelování příjmů českých domácností [The Use of Finite Mixtures of Lognormal Distribution for the Modelling of Household Income Distri," Politická ekonomie, Prague University of Economics and Business, vol. 2013(3), pages 356-372.

  11. Frank A Cowell & Maria-Pia Victoria-Feser, 1996. "Welfare Judgements in the Presence Contaminated Data," STICERD - Distributional Analysis Research Programme Papers 13, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Frank A Cowell & Maria-Pia Victoria-Feser, 1998. "Statistical Inference for Lorenz Curves with Censored Data," STICERD - Distributional Analysis Research Programme Papers 35, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Frank A Cowell & Julie Litchfield, 1999. "Income Inequality Comparisons with Dirty Data: The UK and Spain during the 1980s," STICERD - Distributional Analysis Research Programme Papers 45, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Cowell, Frank & Victoria-Feser, Maria-Pia, 2001. "Robust Lorenz curves : a semi-parametric approach," LSE Research Online Documents on Economics 2155, London School of Economics and Political Science, LSE Library.

  12. Frank A Cowell & Maria-Pia Victoria-Feser, 1994. "Robustness properties of poverty indices," STICERD - Distributional Analysis Research Programme Papers 08, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. DECERF, Benoit, 2014. "Income poverty measures with relative poverty lines," LIDAM Discussion Papers CORE 2014022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 1996. "Poverty measurement with contaminated data: A robust approach," European Economic Review, Elsevier, vol. 40(9), pages 1761-1771, December.
    3. Decerf, B., 2015. "A new index combining the absolute and relative aspects of income poverty: Theory and application," LIDAM Discussion Papers CORE 2015050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  13. Maria-Pia Victoria-Feser, 1993. "Robust estimation of personal income distribution models," STICERD - Distributional Analysis Research Programme Papers 04, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2008. "Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 149-184, June.

Articles

  1. Stéphane Guerrier & Elise Dupuis-Lozeron & Yanyuan Ma & Maria-Pia Victoria-Feser, 2019. "Simulation-Based Bias Correction Methods for Complex Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(525), pages 146-157, January.

    Cited by:

    1. Janice L. Scealy & David Heslop & Jia Liu & Andrew T. A. Wood, 2022. "Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics," International Statistical Review, International Statistical Institute, vol. 90(2), pages 237-258, August.
    2. Chudamani Poudyal, 2024. "Robust Estimation of the Tail Index of a Single Parameter Pareto Distribution from Grouped Data," Papers 2401.14593, arXiv.org, revised Feb 2024.

  2. Stéphane Guerrier & Jan Skaloud & Yannick Stebler & Maria-Pia Victoria-Feser, 2013. "Wavelet-Variance-Based Estimation for Composite Stochastic Processes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1021-1030, September.

    Cited by:

    1. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    2. Man Fung Leung & Kin Wai Chan & Xiaofeng Shao, 2025. "Online Generalized Method of Moments for Time Series," Papers 2502.00751, arXiv.org.

  3. Dupuis, Debbie J. & Victoria-Feser, Maria-Pia, 2011. "Fast Robust Model Selection in Large Datasets," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 203-212.

    Cited by:

    1. Stephane Heritier & Maria-Pia Victoria-Feser, 2018. "Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 595-602, December.

  4. Conne, David & Ronchetti, Elvezio & Victoria-Feser, Maria-Pia, 2010. "Goodness of Fit for Generalized Linear Latent Variables Models," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1126-1134.

    Cited by:

    1. Kelava, Augustin & Kohler, Michael & Krzyżak, Adam & Schaffland, Tim Fabian, 2017. "Nonparametric estimation of a latent variable model," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 112-134.

  5. Dupuis Lozeron, E. & Victoria-Feser, M.P., 2010. "Robust estimation of constrained covariance matrices for confirmatory factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3020-3032, December.

    Cited by:

    1. Katy Bergstrom & William Dodds & Nicholas Lacoste & Juan Rios, 2025. "Estimating the Welfare Cost of Labor Supply Frictions," Working Papers 2503, Tulane University, Department of Economics.
    2. Francisco H. G. Ferreira & Paolo Brunori, 2025. "Inherited Inequality, Meritocracy, and the Purpose of Economic Growth," Working Papers 681, ECINEQ, Society for the Study of Economic Inequality.
    3. Stephane Heritier & Maria-Pia Victoria-Feser, 2018. "Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 595-602, December.

  6. Frank Cowell & Maria-Pia Victoria-Feser, 2007. "Robust stochastic dominance: A semi-parametric approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 21-37, April.

    Cited by:

    1. Anissa Chaibi & Maria-Lenuta Ciupac-Ulici & Mircea-Cristian Gherman, 2014. "Do Recent Stochastic Tools Help to Better Understand Investors Preference and Asset Allocation?," Working Papers 2014-130, Department of Research, Ipag Business School.
    2. Muhammad Hilmi Abdul Majid & Kamarulzaman Ibrahim & Nurulkamal Masseran, 2023. "Three-Part Composite Pareto Modelling for Income Distribution in Malaysia," Mathematics, MDPI, vol. 11(13), pages 1-15, June.
    3. Frank A Cowell, 2007. "Income Distribution and Inequality," STICERD - Distributional Analysis Research Programme Papers 94, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Cowell, Frank & Victoria-Feser, M.P., 2007. "Modelling Lorenz curves: robust and semi-parametric issues," LSE Research Online Documents on Economics 2694, London School of Economics and Political Science, LSE Library.
    5. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
    6. Katy Bergstrom & William Dodds & Nicholas Lacoste & Juan Rios, 2025. "Estimating the Welfare Cost of Labor Supply Frictions," Working Papers 2503, Tulane University, Department of Economics.
    7. Tobias Schoch & André Müller, 2020. "Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in Switzerland," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(3), pages 267-304, December.
    8. Michał Brzeziński, 2013. "Variance estimation for richness measures," Working Papers 2013-03, Faculty of Economic Sciences, University of Warsaw.
    9. Jenkins, Stephen P., 2017. "Pareto models, top incomes, and recent trends in UK income inequality," LSE Research Online Documents on Economics 67667, London School of Economics and Political Science, LSE Library.
    10. Yogi Vidyattama & Robert Tanton & Alan Duncan & Ross Gayler, 2013. "Implementing Income Verification in Australia," NATSEM Working Paper Series 13/20, University of Canberra, National Centre for Social and Economic Modelling.
    11. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    12. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "A robust semi-parametric approach for measuring income inequality in Malaysia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1-13.
    13. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    14. M. Azhar Hussain & Mette Møller Jørgensen & Lars Peter Østerdal, 2016. "Refining Population Health Comparisons: A Multidimensional First Order Dominance Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 739-759, November.
    15. Melanie Krause, 2014. "Parametric Lorenz Curves and the Modality of the Income Density Function," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 905-929, December.
    16. Cowell, Frank, 2011. "Inequality among the wealthy," LSE Research Online Documents on Economics 43897, London School of Economics and Political Science, LSE Library.
    17. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & Hussain, Saiful Izzuan, 2021. "Measuring income inequality: A robust semi-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    18. Channing Arndt & Kristi Mahrt & Azhar Hussain & Finn Tarp, 2017. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," WIDER Working Paper Series wp-2017-76, World Institute for Development Economic Research (UNU-WIDER).
    19. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & Hussain, Saiful Izzuan, 2019. "A robust and efficient estimator for the tail index of inverse Pareto distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 431-439.
    20. Francisco H. G. Ferreira & Paolo Brunori, 2025. "Inherited Inequality, Meritocracy, and the Purpose of Economic Growth," Working Papers 681, ECINEQ, Society for the Study of Economic Inequality.
    21. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "Optimal threshold for Pareto tail modelling in the presence of outliers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 169-180.
    22. Michał Brzeziński, 2013. "Robust estimation of the Pareto index: A Monte Carlo Analysis," Working Papers 2013-32, Faculty of Economic Sciences, University of Warsaw.
    23. Frank Cowell & Emmanuel Flachaire, 2021. "Inequality Measurement: Methods and Data," Post-Print hal-03589066, HAL.

  7. Copt, Samuel & Victoria-Feser, Maria-Pia, 2006. "High-Breakdown Inference for Mixed Linear Models," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 292-300, March.

    Cited by:

    1. Yu, Dalei & Ding, Chang & He, Na & Wang, Ruiwu & Zhou, Xiaohua & Shi, Lei, 2019. "Robust estimation and confidence interval in meta-regression models," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 93-118.
    2. Osorio, Felipe & Paula, Gilberto A. & Galea, Manuel, 2007. "Assessment of local influence in elliptical linear models with longitudinal structure," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4354-4368, May.
    3. Samuel Copt & Stephane Heritier, 2007. "Robust Alternatives to the F-Test in Mixed Linear Models Based on MM-Estimates," Biometrics, The International Biometric Society, vol. 63(4), pages 1045-1052, December.
    4. Koller, Manuel, 2016. "robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i06).
    5. Ruiz-Gazen, Anne & Lopuhaä, Henrik Paul & Gares, Valérie, 2022. "S-estimation in Linear Models with Structured Covariance Matrices," TSE Working Papers 22-1343, Toulouse School of Economics (TSE).
    6. Dupuis Lozeron, E. & Victoria-Feser, M.P., 2010. "Robust estimation of constrained covariance matrices for confirmatory factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3020-3032, December.
    7. Stephane Heritier & Maria-Pia Victoria-Feser, 2018. "Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 595-602, December.

  8. Moustaki, Irini & Victoria-Feser, Maria-Pia, 2006. "Bounded-Influence Robust Estimation in Generalized Linear Latent Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 644-653, June.

    Cited by:

    1. Xin-Yuan Song & Zhao-Hua Lu & Jing-Heng Cai & Edward Ip, 2013. "A Bayesian Modeling Approach for Generalized Semiparametric Structural Equation Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 624-647, October.
    2. Ma, Jun & Heritier, Stephane & Lô, Serigne N., 2014. "On the maximum penalized likelihood approach for proportional hazard models with right censored survival data," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 142-156.
    3. Yanyuan Ma & Marc G. Genton, 2010. "Explicit estimating equations for semiparametric generalized linear latent variable models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 475-495, September.
    4. William H. Aeberhard & Eva Cantoni & Chris Field & Hans R. Künsch & Joanna Mills Flemming & Ximing Xu, 2021. "Robust estimation for discrete‐time state space models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(4), pages 1127-1147, December.
    5. Cai, Jing-Heng & Song, Xin-Yuan & Lam, Kwok-Hap & Ip, Edward Hak-Sing, 2011. "A mixture of generalized latent variable models for mixed mode and heterogeneous data," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2889-2907, November.
    6. Chen, Yunxiao & Lu, Yan & Moustaki, Irini, 2022. "Detection of two-way outliers in multivariate data and application to cheating detection in educational tests," LSE Research Online Documents on Economics 112499, London School of Economics and Political Science, LSE Library.
    7. Noélle de Oliveira Freitas & Carlos García Forero & Marina Paes Caltran & Jordi Alonso & Rosana A Spadoti Dantas & Monica Sarto Piccolo & Jayme Adriano Farina Jr & John W Lawrence & Lidia A Rossi, 2018. "Validation of the Perceived Stigmatization Questionnaire for Brazilian adult burn patients," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-15, January.
    8. Cardenas Hurtado, Camilo & Moustaki, Irini & Chen, Yunxiao & Marra, Giampiero, 2025. "Generalized latent variable models for location, scale, and shape parameters," LSE Research Online Documents on Economics 127387, London School of Economics and Political Science, LSE Library.

  9. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 2006. "Distributional Dominance With Trimmed Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 291-300, July.

    Cited by:

    1. Kleiber, Christian, 2007. "A Guide to the Dagum Distributions," Working papers 2007/23, Faculty of Business and Economics - University of Basel.
    2. Andrew Jones & Nigel Rice & Pedro Rosa Dias, 2012. "Quality of schooling and inequality of opportunity in health," Empirical Economics, Springer, vol. 42(2), pages 369-394, April.
    3. Cowell, Frank & Victoria-Feser, M.P., 2007. "Modelling Lorenz curves: robust and semi-parametric issues," LSE Research Online Documents on Economics 2694, London School of Economics and Political Science, LSE Library.
    4. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    5. Frank Cowell & Maria-Pia Victoria-Feser, 2007. "Robust stochastic dominance: A semi-parametric approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 21-37, April.
    6. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    7. Beat Hulliger & Tobias Schoch, 2014. "Robust, distribution-free inference for income share ratios under complex sampling," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(1), pages 63-85, January.
    8. Cantó, Olga & García-Pérez, Carmelo & Romaguera-de-la-Cruz, Marina, 2020. "The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach," Economic Systems, Elsevier, vol. 44(3).
    9. Olga Cantó & David O. Ruiz, 2015. "The Contribution of Income Mobility to Economic Insecurity in the US and Spain during the Great Recession," Research on Economic Inequality, in: Measurement of Poverty, Deprivation, and Economic Mobility, volume 23, pages 109-152, Emerald Group Publishing Limited.
    10. Chiara Gigliarano & Pietro Muliere, 2013. "Estimating the Lorenz curve and Gini index with right censored data: a Polya tree approach," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 105-122, September.
    11. Marina Romaguera‐de‐la‐Cruz, 2020. "Measuring Economic Insecurity Using a Counting Approach. An Application to Three EU Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 558-583, September.
    12. Olga Cantó & Carmelo García Pérez & Marina Romaguera de la Cruz, 2023. "The Role of Tax-Benefit Systems in Shaping Economic Insecurity in the European Union," Hacienda Pública Española / Review of Public Economics, IEF, vol. 247(4), pages 7-36, December.
    13. Soile, Ismail & Mu, Xiaoyi, 2015. "Who benefit most from fuel subsidies? Evidence from Nigeria," Energy Policy, Elsevier, vol. 87(C), pages 314-324.
    14. Olga Cantó & Carmelo García-Pérez & Marina Romaguera de la Cruz, 2021. "Multidimensional Measures of Economic Insecurity in Spain: The Role of Aggregation and Weighting Methods," Hacienda Pública Española / Review of Public Economics, IEF, vol. 238(3), pages 29-60, September.

  10. Philippe Huber & Elvezio Ronchetti & Maria‐Pia Victoria‐Feser, 2004. "Estimation of generalized linear latent variable models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(4), pages 893-908, November.

    Cited by:

    1. Y Chen & X Li, 2022. "Determining the number of factors in high-dimensional generalized latent factor models [Eigenvalue ratio test for the number of factors]," Biometrika, Biometrika Trust, vol. 109(3), pages 769-782.
    2. Björn Andersson & Tao Xin, 2021. "Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation," Journal of Educational and Behavioral Statistics, , vol. 46(2), pages 244-265, April.
    3. Brendan P.M. McCabe & Gael Martin & Keith Freeland, 2010. "A Quasi-locally Most powerful Test for Correlation in the conditional Variance of Positive Data," Monash Econometrics and Business Statistics Working Papers 2/10, Monash University, Department of Econometrics and Business Statistics.
    4. Bianconcini, Silvia & Cagnone, Silvia, 2012. "Estimation of generalized linear latent variable models via fully exponential Laplace approximation," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 183-193.
    5. Jenni Niku & Francis K. C. Hui & Sara Taskinen & David I. Warton, 2021. "Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models," Environmetrics, John Wiley & Sons, Ltd., vol. 32(6), September.
    6. Yanyuan Ma & Marc G. Genton, 2010. "Explicit estimating equations for semiparametric generalized linear latent variable models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 475-495, September.
    7. Chen, Yunxiao & Li, Xiaoou, 2022. "Determining the number of factors in high-dimensional generalized latent factor models," LSE Research Online Documents on Economics 111574, London School of Economics and Political Science, LSE Library.
    8. Hui, Francis K.C., 2017. "Model-based simultaneous clustering and ordination of multivariate abundance data in ecology," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 1-10.
    9. Wu, Jianmin & Bentler, Peter M., 2013. "Limited information estimation in binary factor analysis: A review and extension," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 392-403.
    10. Cai, Jing-Heng & Song, Xin-Yuan & Lam, Kwok-Hap & Ip, Edward Hak-Sing, 2011. "A mixture of generalized latent variable models for mixed mode and heterogeneous data," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2889-2907, November.
    11. Xu Ning & Francis K. C. Hui & Alan H. Welsh, 2023. "A double fixed rank kriging approach to spatial regression models with covariate measurement error," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.
    12. Ling Zhou & Huazhen Lin & Yi-Chen Lin, 2016. "Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(3), pages 1011-1033, February.
    13. Riki Herliansyah & Ruth King & Stuart King, 2022. "Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 401-418, September.
    14. Vassilis Vasdekis & Silvia Cagnone & Irini Moustaki, 2012. "A Composite Likelihood Inference in Latent Variable Models for Ordinal Longitudinal Responses," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 425-441, July.
    15. Silvia Cagnone & Paola Monari, 2013. "Latent variable models for ordinal data by using the adaptive quadrature approximation," Computational Statistics, Springer, vol. 28(2), pages 597-619, April.
    16. Christopher J. Urban & Daniel J. Bauer, 2021. "A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 1-29, March.
    17. Leila Amiri & Mojtaba Khazaei & Mojtaba Ganjali, 2018. "A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 95-115, January.
    18. Jenni Niku & David I. Warton & Francis K. C. Hui & Sara Taskinen, 2017. "Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in Ecology," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 498-522, December.
    19. Lee, Donghwan & Lee, Youngjo & Paik, Myunghee Cho & Kenward, Michael G., 2013. "Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 171-179.
    20. Li Cai, 2010. "High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 33-57, March.
    21. Jaeun Choi & Jianwen Cai & Donglin Zeng, 2017. "Penalized Likelihood Approach for Simultaneous Analysis of Survival Time and Binary Longitudinal Outcome," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 190-216, November.
    22. Gaillard, Gabrielle, 2007. "Equity and Health," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 67-80.
    23. Vitoratou, Silia & Ntzoufras, Ioannis & Moustaki, Irini, 2016. "Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions," LSE Research Online Documents on Economics 57685, London School of Economics and Political Science, LSE Library.
    24. Ting Fung Ma & Fangfang Wang & Jun Zhu, 2023. "On generalized latent factor modeling and inference for high‐dimensional binomial data," Biometrics, The International Biometric Society, vol. 79(3), pages 2311-2320, September.
    25. Andersson, Björn & Jin, Shaobo & Zhang, Maoxin, 2023. "Fast estimation of multiple group generalized linear latent variable models for categorical observed variables," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).

  11. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.

    Cited by:

    1. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 2006. "Distributional Dominance With Trimmed Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 291-300, July.
    2. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.
    3. Cowell, Frank & Victoria-Feser, M.P., 2007. "Modelling Lorenz curves: robust and semi-parametric issues," LSE Research Online Documents on Economics 2694, London School of Economics and Political Science, LSE Library.
    4. Frank Cowell & Maria-Pia Victoria-Feser, 2007. "Robust stochastic dominance: A semi-parametric approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 21-37, April.
    5. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2008. "Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 149-184, June.
    6. Sulekha Hembram & Sushil Kr. Haldar, 2021. "Revisiting global income convergence: 1990-2018 A disaggregated analysis," Economics Bulletin, AccessEcon, vol. 41(3), pages 952-974.
    7. Stéphane Guerrier & Samuel Orso & Maria-Pia Victoria-Feser, 2018. "Parametric Inference for Index Functionals," Econometrics, MDPI, vol. 6(2), pages 1-11, April.
    8. William C. Horrace & Joseph T. Marchand & Timothy M. Smeeding, 2006. "Ranking Inequality: Applications of Multivariate Subset Selection," Working Papers 21, ECINEQ, Society for the Study of Economic Inequality.
    9. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    10. Sulekha Hembram & Sohini Mukherjee & Sushil Kr. Haldar, 2020. "Regional convergence of social and economic development in the districts of West Bengal, India: Do clubs exist? Does space matter? An empirical analysis using DLHS I–IV and NFHS IV data," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 58-90, June.
    11. Beat Hulliger & Tobias Schoch, 2014. "Robust, distribution-free inference for income share ratios under complex sampling," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(1), pages 63-85, January.
    12. Luke A. Prendergast & Robert G. Staudte, 2017. "When large n is not enough – Distribution-free interval estimators for ratios of quantiles," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(3), pages 277-293, September.
    13. Matti Langel & Yves Tillé, 2012. "Inference by linearization for Zenga’s new inequality index: a comparison with the Gini index," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(8), pages 1093-1110, November.
    14. Ilaria Benedetti & Federico Crescenzi & Tiziana Laureti, 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    15. Luke A. Prendergast & Robert G. Staudte, 2017. "When large n is not enough – Distribution-free interval estimators for ratios of quantiles," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(3), pages 277-293, September.
    16. Frank Cowell & Emmanuel Flachaire, 2021. "Inequality Measurement: Methods and Data," Post-Print hal-03589066, HAL.

  12. Frank A. Cowell & Maria-Pia Victoria-Feser, 2002. "Welfare Rankings in the Presence of Contaminated Data," Econometrica, Econometric Society, vol. 70(3), pages 1221-1233, May.

    Cited by:

    1. Rossello, Damiano, 2015. "Ranking of investment funds: Acceptability versus robustness," European Journal of Operational Research, Elsevier, vol. 245(3), pages 828-836.
    2. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 2006. "Distributional Dominance With Trimmed Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 291-300, July.
    3. Sotomayor, Orlando, 2008. "The Distribution of Household Income in Brazil: Unequal and Immutable?," World Development, Elsevier, vol. 36(7), pages 1280-1293, July.
    4. Daniele Checchi & Vito Peragine & Laura Serlenga, 2010. "Fair and unfair income inequalities in Europe," Working Papers 174, ECINEQ, Society for the Study of Economic Inequality.
    5. Cowell, Frank & Victoria-Feser, M.P., 2007. "Modelling Lorenz curves: robust and semi-parametric issues," LSE Research Online Documents on Economics 2694, London School of Economics and Political Science, LSE Library.
    6. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
    7. Frank Cowell & Maria-Pia Victoria-Feser, 2007. "Robust stochastic dominance: A semi-parametric approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 21-37, April.
    8. Stanislaw Maciej Kot, 2016. "Estimates Of The World Distribution Of Personal Incomes Based On Country Sample Clones," GUT FME Working Paper Series A 41, Faculty of Management and Economics, Gdansk University of Technology.
    9. Stéphane Guerrier & Samuel Orso & Maria-Pia Victoria-Feser, 2018. "Parametric Inference for Index Functionals," Econometrics, MDPI, vol. 6(2), pages 1-11, April.
    10. Carlos Sánchez-González & Rosa M. García-Fernández, 2020. "A Multivariate Indicator to Compute Middle Class Population," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 1-14, January.
    11. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    12. Beat Hulliger & Tobias Schoch, 2014. "Robust, distribution-free inference for income share ratios under complex sampling," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(1), pages 63-85, January.
    13. Cowell, Frank & Victoria-Feser, Maria-Pia, 2001. "Distributional dominance with dirty data," LSE Research Online Documents on Economics 2239, London School of Economics and Political Science, LSE Library.
    14. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    15. Giuseppe Munda, 2012. "Intensity of preference and related uncertainty in non-compensatory aggregation rules," Theory and Decision, Springer, vol. 73(4), pages 649-669, October.
    16. Cowell, Frank & Victoria-Feser, Maria-Pia, 2001. "Robust Lorenz curves : a semi-parametric approach," LSE Research Online Documents on Economics 2155, London School of Economics and Political Science, LSE Library.
    17. B. Essama-Nssah & Peter J. Lambert, 2011. "Influence functions for distributional statistics," Working Papers 236, ECINEQ, Society for the Study of Economic Inequality.
    18. VAN KERM Philippe, 2007. "Extreme incomes and the estimation of poverty and inequality indicators from EU-SILC," IRISS Working Paper Series 2007-01, IRISS at CEPS/INSTEAD.
    19. Orlando Sotomayor, 2019. "Growth with reduction in poverty and inequality: did Brazil show the way?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 521-541, December.
    20. Sean Higgins & Nora Lustig, 2015. "Can a poverty-reducing and progressive tax and transfer system hurt the poor?," Working Papers 363, ECINEQ, Society for the Study of Economic Inequality.
    21. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & Hussain, Saiful Izzuan, 2021. "Measuring income inequality: A robust semi-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    22. Cristina Blanco-Perez, 2012. "Rethinking the Relative Income Hypothesis," SOEPpapers on Multidisciplinary Panel Data Research 501, DIW Berlin, The German Socio-Economic Panel (SOEP).
    23. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.
    24. Cristina Blanco Pérez & Xavier Ramos, 2010. "Polarization And Health," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 171-185, March.
    25. Jenkins, Stephen P., 2024. "Getting the measure of inequality," LSE Research Online Documents on Economics 120211, London School of Economics and Political Science, LSE Library.
    26. Francesco Andreoli, 2018. "Robust Inference for Inverse Stochastic Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 146-159, January.

  13. Maria-Pia Victoria-Feser, 2002. "Robust inference with binary data," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 21-32, March.

    Cited by:

    1. Lô, Serigne N. & Ronchetti, Elvezio, 2009. "Robust and accurate inference for generalized linear models," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2126-2136, October.
    2. Bellio, Ruggero, 2007. "Algorithms for bounded-influence estimation," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2531-2541, February.

  14. Mohamed Ayadi & Mohamed Salah Matoussi & Maria-Pia Victoria-Feser, 2001. "Putting Robust Statistical Methods into Practice: Poverty Analysis in Tunisia," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 137(III), pages 463-482, September.

    Cited by:

    1. Hatem Jemmali, 2019. "Inequality of Opportunities among Tunisian Children over Time and Space," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(1), pages 213-234, February.
    2. Hatem Jemmali, 2016. "Inequality of Opportunities among Tunisian Children over Time and Space," Working Papers 1048, Economic Research Forum, revised 09 Jan 2016.
    3. Hatem Jemmali, 2017. "What Drive Regional Economic Inequalities in Tunisia? Evidence From Unconditional Quantile Decomposition Analysis," Working Papers 1159, Economic Research Forum, revised 11 2017.

  15. Maria‐Pia Victoria‐Feser, 2000. "Robust Methods for the Analysis of Income Distribution, Inequality and Poverty," International Statistical Review, International Statistical Institute, vol. 68(3), pages 277-293, December.

    Cited by:

    1. Garc𨀍 & Prieto-Alaiz & Sim, 2013. "The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4323-4334, October.

  16. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 1996. "Poverty measurement with contaminated data: A robust approach," European Economic Review, Elsevier, vol. 40(9), pages 1761-1771, December.

    Cited by:

    1. Lidia Ceriani & Vladimir Hlasny & Paolo Verme, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," Working Papers 589, ECINEQ, Society for the Study of Economic Inequality.
    2. Heshmati, Almas, 2004. "A Review of Decomposition of Income Inequality," IZA Discussion Papers 1221, Institute of Labor Economics (IZA).
    3. Davidson, Russell & Flachaire, Emmanuel, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Journal of Econometrics, Elsevier, vol. 141(1), pages 141-166, November.
    4. Almas Heshmati, 2015. "Inequalities and Their Measurement," Working Papers id:7311, eSocialSciences.
    5. Daniele Checchi & Vito Peragine & Laura Serlenga, 2010. "Fair and unfair income inequalities in Europe," Working Papers 174, ECINEQ, Society for the Study of Economic Inequality.
    6. Mohamed Ayadi & Mohamed Salah Matoussi & Maria-Pia Victoria-Feser, 2001. "Putting Robust Statistical Methods into Practice: Poverty Analysis in Tunisia," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 137(III), pages 463-482, September.
    7. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    8. Vladimir Hlasny & Paolo Verme, 2018. "Top Incomes and the Measurement of Inequality in Egypt," The World Bank Economic Review, World Bank, vol. 32(2), pages 428-455.
    9. Hlasny, Vladimir & Ceriani, Lidia & Verme, Paolo, 2020. "Bottom incomes and the measurement of poverty and inequality," GLO Discussion Paper Series 519, Global Labor Organization (GLO).
    10. Vladimir Hlasny & Paolo Verme, 2018. "Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data," Econometrics, MDPI, vol. 6(2), pages 1-21, June.
    11. Stanislaw Maciej Kot, 2016. "Estimates Of The World Distribution Of Personal Incomes Based On Country Sample Clones," GUT FME Working Paper Series A 41, Faculty of Management and Economics, Gdansk University of Technology.
    12. Michał Brzeziński, 2013. "Variance estimation for richness measures," Working Papers 2013-03, Faculty of Economic Sciences, University of Warsaw.
    13. Santiago Alvarez-Garcia & Juan Prieto-Rodriguez & Rafael Salas, 2004. "The evolution of income inequality in the European Union during the period 1993-1996," Applied Economics, Taylor & Francis Journals, vol. 36(13), pages 1399-1408.
    14. Christophe Muller, 2006. "Poverty Simulation And Price Changes," Working Papers. Serie AD 2006-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    15. Brian A'Hearn & Stefano Chianese & Giovanni Vecchi, 2020. "Aristocracy and Inequality in Italy, 1861-1931," Oxford Economic and Social History Working Papers _178, University of Oxford, Department of Economics.
    16. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    17. B. Essama-Nssah & Peter J. Lambert, 2016. "Counterfactual Decomposition of Pro-Poorness Using Influence Functions," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 17(1), pages 74-92, February.
    18. Juan Gabriel Rodríguez & Rafael Salas & Irene Perrote, 2005. "Partial Horizontal Inequity Orderings: A Non‐parametric Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(3), pages 347-368, June.
    19. Iryna Kyzyma, 2020. "How Poor Are the Poor? Looking beyond the Binary Measure of Income Poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 525-549, December.
    20. Christophe Muller & Sami Bibi, 2007. "Focused Targeting against Poverty Evidence from Tunisia," Working Papers DT/2007/07, DIAL (Développement, Institutions et Mondialisation).
    21. Vladimir Hlasny & Paolo Verme, 2022. "The Impact of Top Incomes Biases on the Measurement of Inequality in the United States," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 749-788, August.
    22. Matti Langel & Yves Tillé, 2012. "Inference by linearization for Zenga’s new inequality index: a comparison with the Gini index," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(8), pages 1093-1110, November.
    23. Osberg, Lars, 2002. "Trends in poverty: the UK in international perspective: how rates mislead and intensity matters," ISER Working Paper Series 2002-10, Institute for Social and Economic Research.
    24. Belotti,Federico & Mancini,Giulia & Vecchi,Giovanni, 2022. "Outlier Detection for Welfare Analysis," Policy Research Working Paper Series 10231, The World Bank.
    25. Paolo Verme, 2025. "Predicting Poverty," Papers 2505.05958, arXiv.org.
    26. Juan Prieto Rodríguez & Juan Gabriel Rodríguez & Rafael Salas, 2004. "Is an inequality-neutral flat tax reform really neutral?," Economic Working Papers at Centro de Estudios Andaluces E2004/43, Centro de Estudios Andaluces.
    27. Lidia Ceriani & Paolo Verme, 2019. "The inequality of extreme incomes," Working Papers 490, ECINEQ, Society for the Study of Economic Inequality.
    28. Michal Brzezinski, 2014. "Statistical inference for richness measures," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1599-1608, May.
    29. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
    30. B. Essama-Nssah & Saumik Paul & Léandre Bassolé, 2013. "Accounting for Heterogeneity in Growth Incidence in Cameroon Using Recentered Influence Function Regression," Journal of African Economies, Centre for the Study of African Economies, vol. 22(5), pages 757-795, November.
    31. Lidia Ceriani & Paolo Verme, 2022. "Population Changes and the Measurement of Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 549-575, July.
    32. Christophe MULLER & Sami BIBI, 2008. "Focused Transfer Targeting against Poverty Evidence from Tunisia," THEMA Working Papers 2008-37, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    33. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.
    34. Christophe Muller & Sami Bibi, 2010. "Refining Targeting against Poverty Evidence from Tunisia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(3), pages 381-410, June.
    35. Christophe Muller, 2001. "The Properties of the Watts Poverty Index under Lognormality," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-9.
    36. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    37. James E. Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster-Greer-Thorbecke (FGT) Poverty Measures: Twenty-Five Years Later," Working Papers 2010-14, The George Washington University, Institute for International Economic Policy.
    38. Soile, Ismail & Mu, Xiaoyi, 2015. "Who benefit most from fuel subsidies? Evidence from Nigeria," Energy Policy, Elsevier, vol. 87(C), pages 314-324.

  17. Cowell, Frank A & Victoria-Feser, Maria-Pia, 1996. "Robustness Properties of Inequality Measures," Econometrica, Econometric Society, vol. 64(1), pages 77-101, January.

    Cited by:

    1. Frank A Cowell, 1996. "Estimation of Inequality Indices," STICERD - Distributional Analysis Research Programme Papers 25, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Arthur Charpentier & Emmanuel Flachaire, 2022. "Pareto models for top incomes and wealth," Post-Print hal-03649428, HAL.
    3. Heshmati, Almas, 2004. "A Review of Decomposition of Income Inequality," IZA Discussion Papers 1221, Institute of Labor Economics (IZA).
    4. Miguel Székely & Marianne Hilgert, 1999. "Los años 90 en América Latina: otra década de pertinaz desigualdad," Research Department Publications 4191, Inter-American Development Bank, Research Department.
    5. Bhalotra, Sonia R. & Fernandez Sierra, Manuel, 2018. "The Distribution of the Gender Wage Gap," IZA Discussion Papers 11640, Institute of Labor Economics (IZA).
    6. Thi Thu Thuy Tran & Kazunari Tsuji & Miho Fujimura, 2024. "Understanding Household Income Inequality in Rural Vietnam: A Regression-Based Decomposition Study," Sustainability, MDPI, vol. 16(20), pages 1-14, October.
    7. Almas Heshmati, 2015. "Inequalities and Their Measurement," Working Papers id:7311, eSocialSciences.
    8. Frank A. Cowell & Emmanuel Flachaire, 2007. "Income distribution and inequality measurement: The problem of extreme values," Post-Print halshs-00176029, HAL.
    9. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 2006. "Distributional Dominance With Trimmed Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 291-300, July.
    10. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    11. Daniele Checchi & Vito Peragine & Laura Serlenga, 2010. "Fair and unfair income inequalities in Europe," Working Papers 174, ECINEQ, Society for the Study of Economic Inequality.
    12. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.
    13. James B. Davies & Nicole M. Fortin & Thomas Lemieux, 2017. "Wealth inequality: Theory, measurement and decomposition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1224-1261, December.
    14. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2008. "Estimating Trends in U.S. Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring," Working Papers 08-25, Center for Economic Studies, U.S. Census Bureau.
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Chapters

  1. Frank A. Cowell & Maria-Pia Victoria-Feser, 2008. "Modelling Lorenz Curves: Robust and Semi-parametric Issues," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 13, pages 241-253, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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