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Emanuela Raffinetti

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First Name:Emanuela
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Last Name:Raffinetti
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RePEc Short-ID:pra995
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Articles

  1. Emanuela Raffinetti & Elena Siletti & Achille Vernizzi, 2017. "Analyzing the Effects of Negative and Non-negative Values on Income Inequality: Evidence from the Survey of Household Income and Wealth of the Bank of Italy (2012)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 185-207, August.
  2. E. Raffinetti & I. Romeo, 2015. "Dealing with the biased effects issue when handling huge datasets: the case of INVALSI data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2554-2570, December.
  3. Emanuela Raffinetti & Elena Siletti & Achille Vernizzi, 2015. "On the Gini coefficient normalization when attributes with negative values are considered," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 507-521, September.
  4. Giudici, P. & Raffinetti, E., 2011. "On the Gini measure decomposition," Statistics & Probability Letters, Elsevier, vol. 81(1), pages 133-139, January.

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.

Articles

  1. Emanuela Raffinetti & Elena Siletti & Achille Vernizzi, 2017. "Analyzing the Effects of Negative and Non-negative Values on Income Inequality: Evidence from the Survey of Household Income and Wealth of the Bank of Italy (2012)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 185-207, August.

    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. Joongyang Park & Youngsoon Kim & Ae-Jin Ju, 2021. "Measuring income inequality based on unequally distributed income," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 309-322, April.
    3. Zhang, Qi & Bilsborrow, Richard E. & Song, Conghe & Tao, Shiqi & Huang, Qingfeng, 2019. "Rural household income distribution and inequality in China: Effects of payments for ecosystem services policies and other factors," Ecological Economics, Elsevier, vol. 160(C), pages 114-127.
    4. del Castillo, Miguel, 2023. "Income distribution and wealth: new conceptual and methodological approaches. Summary," Documentos de Proyectos 48759, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Ignazio Drudi & Giorgio Tassinari & Fabrizio Alboni, 2017. "Changes in wealth distribution in Italy (2002-2012) and who gained from the Great Recession," PSL Quarterly Review, Economia civile, vol. 70(281), pages 129-153.
    6. 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.

  2. E. Raffinetti & I. Romeo, 2015. "Dealing with the biased effects issue when handling huge datasets: the case of INVALSI data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2554-2570, December.

    Cited by:

    1. Paolo Giudici & Emanuela Raffinetti, 2021. "Cyber risk ordering with rank-based statistical models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(3), pages 469-484, September.
    2. Malavasi, Matteo & Peters, Gareth W. & Shevchenko, Pavel V. & Trück, Stefan & Jang, Jiwook & Sofronov, Georgy, 2022. "Cyber risk frequency, severity and insurance viability," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 90-114.
    3. Matteo Malavasi & Gareth W. Peters & Pavel V. Shevchenko & Stefan Truck & Jiwook Jang & Georgy Sofronov, 2021. "Cyber Risk Frequency, Severity and Insurance Viability," Papers 2111.03366, arXiv.org, revised Mar 2022.
    4. Daniel Doz & Mara Cotič & Darjo Felda, 2023. "Random Forest Regression in Predicting Students’ Achievements and Fuzzy Grades," Mathematics, MDPI, vol. 11(19), pages 1-19, September.

  3. Emanuela Raffinetti & Elena Siletti & Achille Vernizzi, 2015. "On the Gini coefficient normalization when attributes with negative values are considered," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 507-521, September.

    Cited by:

    1. Joongyang Park & Youngsoon Kim & Ae-Jin Ju, 2021. "Measuring income inequality based on unequally distributed income," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 309-322, April.
    2. Daniel Graeber & Viola Hilbert & Johannes König, 2023. "Inequality of Opportunity in Wealth: Levels, Trends, and Drivers," CEPA Discussion Papers 69, Center for Economic Policy Analysis.
    3. Rodrigo MENDIETA MUÑOZ & Nicola PONTAROLLO, 2018. "Territorial Growth in Ecuador: The Role of Economic Sectors," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 124-139, December.
    4. Paolo Giudici & Emanuela Raffinetti, 2020. "Lorenz Model Selection," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 754-768, October.
    5. Engel, Janina & Riera, Pau Gayà & Grilli, Joseph & Sola, Pierre, 2022. "Developing reconciled quarterly distributional national wealth – insight into inequality and wealth structures," Working Paper Series 2687, European Central Bank.
    6. Sarah K. Bruch & Janet C. Gornick & Joseph van der Naald, 2020. "Geographic Inequality in Social Provision: Variation across the US States," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 499-527, National Bureau of Economic Research, Inc.
    7. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    8. Carranza, Rafael & De Rosa, Mauricio & Flores, Ignacio, 2023. "Wealth Inequality in Latin America," IDB Publications (Working Papers) 12906, Inter-American Development Bank.
    9. Ruiz-Buforn, Alba & Alfarano, Simone & Morone, Andrea, 2019. "Welfare effects of public information in a laboratory financial market," MPRA Paper 95424, University Library of Munich, Germany.
    10. Jean‐François Ruault & Yves Schaeffer, 2020. "Scalable shift‐share analysis: Novel framework and application to France," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1667-1690, December.
    11. Zhang, Qi & Bilsborrow, Richard E. & Song, Conghe & Tao, Shiqi & Huang, Qingfeng, 2019. "Rural household income distribution and inequality in China: Effects of payments for ecosystem services policies and other factors," Ecological Economics, Elsevier, vol. 160(C), pages 114-127.
    12. Emanuela Raffinetti & Elena Siletti & Achille Vernizzi, 2017. "Analyzing the Effects of Negative and Non-negative Values on Income Inequality: Evidence from the Survey of Household Income and Wealth of the Bank of Italy (2012)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 185-207, August.
    13. von Fintel, Dieter & Orthofer, Anna, 2020. "Wealth inequality and financial inclusion: Evidence from South African tax and survey records," Economic Modelling, Elsevier, vol. 91(C), pages 568-578.
    14. van den Brakel Marion & Lok Reinder, 2021. "The Robin Hood Index Adjusted for Negatives and Equivalised Incomes," Journal of Official Statistics, Sciendo, vol. 37(4), pages 1047-1058, December.
    15. Rodrigue Tido Takeng & Arnold Cedrick Soh Voutsa & Kévin Fourrey, 2023. "Decompositions of inequality measures from the perspective of the Shapley–Owen value," Theory and Decision, Springer, vol. 94(2), pages 299-331, February.
    16. Rubensson, Isak & Susilo, Yusak & Cats, Oded, 2020. "Fair accessibility – Operationalizing the distributional effects of policy interventions," Journal of Transport Geography, Elsevier, vol. 89(C).
    17. Willner, Sam, 2021. "Rural Living Standards and Inequality: A Case Study from Southern Sweden 1780-1919," Lund Papers in Economic History 219, Lund University, Department of Economic History.

  4. Giudici, P. & Raffinetti, E., 2011. "On the Gini measure decomposition," Statistics & Probability Letters, Elsevier, vol. 81(1), pages 133-139, January.

    Cited by:

    1. Paolo Giudici & Emanuela Raffinetti, 2020. "Lorenz Model Selection," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 754-768, October.
    2. Paolo Giudici & Emanuela Raffinetti, 2021. "Cyber risk ordering with rank-based statistical models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(3), pages 469-484, September.

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