IDEAS home Printed from https://ideas.repec.org/e/pce132.html
   My authors  Follow this author

Lidia Ceriani

Personal Details

First Name:Lidia
Middle Name:
Last Name:Ceriani
Suffix:
RePEc Short-ID:pce132
https://sites.google.com/view/lidiaceriani/

Affiliation

Georgetown University - School of Foreign Service (Georgetown University - School of Foreign Service)

http://sfs.georgetown.edu
United States, Washington, DC

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Ceriani, Lidia & Hlasny, Vladimir & Verme, Paolo, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," GLO Discussion Paper Series 914, Global Labor Organization (GLO).
  2. Ceriani, Lidia & Verme, Paolo, 2020. "Excess Mortality as a Predictor of Mortality Crises: The Case of COVID-19 in Italy," GLO Discussion Paper Series 618, Global Labor Organization (GLO).
  3. Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2020. "Bottom Incomes and the Measurement of Poverty and Inequality," LIS Working papers 792, LIS Cross-National Data Center in Luxembourg.
  4. Ceriani,Lidia & Olivieri,Sergio Daniel & Ranzani,Marco, 2019. "Evaluating the Accuracy of Homeowner Self-Assessed Rents in Peru," Policy Research Working Paper Series 8983, The World Bank.
  5. Ceriani,Lidia & Olivieri,Sergio Daniel & Ranzani,Marco, 2019. "Housing, Imputed Rent, and Households'Welfare," Policy Research Working Paper Series 8955, The World Bank.
  6. Lidia Ceriani & Paolo Verme, 2019. "The inequality of extreme incomes," Working Papers 490, ECINEQ, Society for the Study of Economic Inequality.
  7. Ceriani,Lidia & Verme,Paolo, 2018. "Risk preferences and the decision to flee conflict," Policy Research Working Paper Series 8376, The World Bank.
  8. Bolch,Kimberly Blair & Ceriani,Lidia & Lopez-Calva,Luis-Felipe, 2017. "Arithmetics and politics of domestic resource mobilization," Policy Research Working Paper Series 8029, The World Bank.
  9. Lidia Ceriani & Simona Scabrosetti & Francesco Scervini, 2016. "Inequality, Privatization and Democratic Institutions in Developing Countries," Working papers 45, Società Italiana di Economia Pubblica.
  10. Lidia Ceriani & Chiara Gigliarano, 2016. "Multidimensional well-being: A Bayesian Networks approach," Working Papers 399, ECINEQ, Society for the Study of Economic Inequality.
  11. Ceriani,Lidia & Inchauste Comboni,Maria Gabriela & Olivieri,Sergio Daniel, 2015. "Understanding poverty reduction in Sri Lanka : evidence from 2002 to 2012/13," Policy Research Working Paper Series 7446, The World Bank.
  12. Lidia Ceriani & Caterina Ruggeri Laderchi, 2015. "Poverty and Social Exclusion in Bosnia and Herzegovina," World Bank Publications - Reports 22473, The World Bank Group.
  13. Ceriani, Lidia & Verme, Paolo, 2014. "Individual diversity and the Gini decomposition," Policy Research Working Paper Series 6763, The World Bank.
  14. Balcazar, Carlos Felipe & Ceriani, Lidia & Olivieri, Sergio & Ranzani, Marco, 2014. "Rent imputation for welfare measurement : a review of methodologies and empirical findings," Policy Research Working Paper Series 7103, The World Bank.
  15. V. Fiorio, Carlo & Ceriani, Lidia & Gigliarano, Chiara, 2013. "The importance of choosing the data set for tax-benefit analysis," EUROMOD Working Papers EM5/13, EUROMOD at the Institute for Social and Economic Research.
  16. Ceriani, Lidia & Verme, Paolo, 2013. "The income lever and the allocation of aid," Policy Research Working Paper Series 6367, The World Bank.
  17. BOSSERT, Walter & CERIANI, Lidia & CHAKRAVARTY, Satya R. & D'AMBROSIO, Conchita, 2012. "Intertemporal Material Deprivation," Cahiers de recherche 2012-06, Universite de Montreal, Departement de sciences economiques.
  18. Lidia Ceriani & Chiara Gigliarano, 2011. "An inter-temporal relative deprivation index," Working Papers 237, ECINEQ, Society for the Study of Economic Inequality.

Articles

  1. Bolch, Kimberly B. & Ceriani, Lidia & López-Calva, Luis F., 2022. "The arithmetics and politics of domestic resource mobilization for poverty eradication," World Development, Elsevier, vol. 149(C).
  2. Lidia Ceriani & Chiara Gigliarano, 2020. "Multidimensional Well-Being: A Bayesian Networks Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 237-263, November.
  3. Lidia Ceriani & Paolo Verme, 2015. "Individual Diversity and the Gini Decomposition," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 637-646, April.
  4. Lidia Ceriani & Chiara Gigliarano, 2015. "An Inter-temporal Relative Deprivation Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 427-443, November.
  5. Lidia Ceriani & Paolo Verme, 2014. "The Income Lever and the Allocation of Aid," Journal of Development Studies, Taylor & Francis Journals, vol. 50(11), pages 1510-1522, November.
  6. Lidia Ceriani & Carlo V. Fiorio & Chiara Gigliarano, 2013. "The importance of choosing the data set for tax-benefit analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 86-121.
  7. Lidia Ceriani & Paolo Verme, 2012. "The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 421-443, September.
  8. Lidia Ceriani & Massimo Florio, 2011. "Consumer surplus and the reform of network industries: a primer," Journal of Economics, Springer, vol. 102(2), pages 111-122, March.

Chapters

  1. Lidia Ceriani, 2018. "Vulnerability to poverty: empirical findings," Chapters, in: Conchita D’Ambrosio (ed.), Handbook of Research on Economic and Social Well-Being, chapter 12, pages 284-299, Edward Elgar Publishing.

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. Ceriani, Lidia & Hlasny, Vladimir & Verme, Paolo, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," GLO Discussion Paper Series 914, Global Labor Organization (GLO).

    Cited by:

    1. Paolo Brunori & Pedro Salas-Rojo & Paolo Verme, 2022. "Estimating Inequality with Missing Incomes," Working Papers 616, ECINEQ, Society for the Study of Economic Inequality.

  2. Ceriani, Lidia & Verme, Paolo, 2020. "Excess Mortality as a Predictor of Mortality Crises: The Case of COVID-19 in Italy," GLO Discussion Paper Series 618, Global Labor Organization (GLO).

    Cited by:

    1. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020. "Local mortality estimates during the COVID-19 pandemic in Italy," Working Papers 14/20, Sapienza University of Rome, DISS.
    2. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).

  3. Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2020. "Bottom Incomes and the Measurement of Poverty and Inequality," LIS Working papers 792, LIS Cross-National Data Center in Luxembourg.

    Cited by:

    1. Al-Mouksit AKIM & Mahdi Ben JELLOUL & Leo CZAJKA & Anne-Sophie ROBILLIARD, 2020. "Collect more, spend better? Assessing the incidence of fiscal systems and public spending in three Francophone West African countries," Working Paper 3023a15d-161b-4025-a0eb-e, Agence française de développement.
    2. Adam Szulc, 2022. "Reconstruction of the Social Cash Transfers System in Poland and Household Well-being: 2015 - 2018 Evidence," KAE Working Papers 2022-076, Warsaw School of Economics, Collegium of Economic Analysis.
    3. Pazzona, Matteo, 2024. "Revisiting the Income Inequality-Crime Puzzle," World Development, Elsevier, vol. 176(C).
    4. Vladimir Hlasny & Paolo Verme, 2022. "On the ‘Arab Inequality Puzzle’: A Comment," Development and Change, International Institute of Social Studies, vol. 53(2), pages 448-458, March.
    5. Ceriani, Lidia & Hlasny, Vladimir & Verme, Paolo, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," GLO Discussion Paper Series 914, Global Labor Organization (GLO).
    6. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    7. Vladimir Hlasny & Shireen AlAzzawi, 2020. "Return Migration and Earnings Mobility in Egypt, Jordan and Tunisia," Working Papers 562, ECINEQ, Society for the Study of Economic Inequality.

  4. Ceriani,Lidia & Olivieri,Sergio Daniel & Ranzani,Marco, 2019. "Evaluating the Accuracy of Homeowner Self-Assessed Rents in Peru," Policy Research Working Paper Series 8983, The World Bank.

    Cited by:

    1. Ceriani, Lidia & Hlasny, Vladimir & Verme, Paolo, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," GLO Discussion Paper Series 914, Global Labor Organization (GLO).

  5. Lidia Ceriani & Paolo Verme, 2019. "The inequality of extreme incomes," Working Papers 490, ECINEQ, Society for the Study of Economic Inequality.

    Cited by:

    1. 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).
    2. 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.
    3. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.

  6. Ceriani,Lidia & Verme,Paolo, 2018. "Risk preferences and the decision to flee conflict," Policy Research Working Paper Series 8376, The World Bank.

    Cited by:

    1. Ekhator-Mobayode,Uche Eseosa & Hanmer,Lucia C. & Rubiano Matulevich,Eliana Carolina & Arango,Diana Jimena, 2020. "Effect of Armed Conflict on Intimate Partner Violence : Evidence from the Boko Haram Insurgency in Nigeria," Policy Research Working Paper Series 9168, The World Bank.
    2. Jaschke Philipp & Sulin Sardoschau & Marco Tabellini, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," RF Berlin - CReAM Discussion Paper Series 2136, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    3. Eseosa Ekhator-Mobayode, Uche & Hanmer, Lucia C. & Rubiano-Matulevich, Eliana & Jimena Arango, Diana, 2022. "The effect of armed conflict on intimate partner violence: Evidence from the Boko Haram insurgency in Nigeria," World Development, Elsevier, vol. 153(C).
    4. Jenny Helstroffer & Majlinda Joxhe & Marc Deschamps & Julien Jacob & Géraldine Bocquého, 2023. "Modelling refugee migration under cognitive biases: Experimental evidence and policy," Post-Print hal-03987371, HAL.
    5. Verme, Paolo & Schuettler, Kirsten, 2021. "The impact of forced displacement on host communities: A review of the empirical literature in economics," Journal of Development Economics, Elsevier, vol. 150(C).
    6. Tefera Getachew Dagnachew, 2023. "The effect of internal forced displacement on small and medium enterprises in the host community, in case of Amhara region, Ethiopia," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-12, December.
    7. Di Maio,Michele & Leone Sciabolazza,Valerio & Molini,Vasco, 2020. "Migration in Libya : A Spatial Network Analysis," Policy Research Working Paper Series 9110, The World Bank.
    8. Jaschke, Philipp & Sardoschau, Sulin & Tabellini, Marco, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," IZA Discussion Papers 14962, Institute of Labor Economics (IZA).
    9. Issifou,Ismael, 2020. "Understanding Decisions Made on Asylum Applications in Host Countries," Policy Research Working Paper Series 9153, The World Bank.

  7. Lidia Ceriani & Chiara Gigliarano, 2016. "Multidimensional well-being: A Bayesian Networks approach," Working Papers 399, ECINEQ, Society for the Study of Economic Inequality.

    Cited by:

    1. Joachim Merz & Bettina Scherg, 2021. "Time, Income and Subjective Well-Being – 20 Years of Interdependent Multidimensional Polarization in Germany," SOEPpapers on Multidisciplinary Panel Data Research 1154, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Mauricio Gallardo, 2021. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Asociación Argentina de Economía Política: Working Papers 4475, Asociación Argentina de Economía Política.
    3. Rodrigo García Arancibia & Ignacio Girela, 2024. "Graphical Representation of Multidimensional Poverty: Insights for Index Construction and Policy Making," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 172(2), pages 595-634, March.
    4. Federica Onori & Giovanna Jona Lasinio, 2022. "Modeling “Equitable and Sustainable Well-being” (BES) Using Bayesian Networks: A Case Study of the Italian Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 1003-1037, June.
    5. Hamed Khalili, 2024. "Can Data and Machine Learning Change the Future of Basic Income Models? A Bayesian Belief Networks Approach," Data, MDPI, vol. 9(2), pages 1-18, January.
    6. Omar A. Guerrero & Gonzalo Casta~neda, 2019. "Quantifying the Coherence of Development Policy Priorities," Papers 1902.00430, arXiv.org.
    7. Omar A. Guerrero & Gonzalo Casta~neda & Florian Ch'avez-Ju'arez, 2019. "How do governments determine policy priorities? Studying development strategies through spillover networks," Papers 1902.00432, arXiv.org.
    8. Gonzalo Castañeda & Omar A. Guerrero, 2018. "The Resilience of Public Policies in Economic Development," Complexity, Hindawi, vol. 2018, pages 1-15, October.
    9. Federica Cugnata & Silvia Salini & Elena Siletti, 2021. "Deepening Well-Being Evaluation with Different Data Sources: A Bayesian Networks Approach," IJERPH, MDPI, vol. 18(15), pages 1-10, July.

  8. Ceriani,Lidia & Inchauste Comboni,Maria Gabriela & Olivieri,Sergio Daniel, 2015. "Understanding poverty reduction in Sri Lanka : evidence from 2002 to 2012/13," Policy Research Working Paper Series 7446, The World Bank.

    Cited by:

    1. Nisha Arunatilake & Gabriela Inchauste & Nora Lustig, 2017. "The Incidence of Taxes and Spending in Sri Lanka," Commitment to Equity (CEQ) Working Paper Series 63, Tulane University, Department of Economics.

  9. Ceriani, Lidia & Verme, Paolo, 2014. "Individual diversity and the Gini decomposition," Policy Research Working Paper Series 6763, The World Bank.

    Cited by:

    1. Piotr Dniestrzański & Janusz Łyko, 2015. "The Disproportion Of Allocation Under The Given Boundary Conditions," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 9(1), pages 118-126.
    2. Federico Attili, 2024. "Uncovering Complexities in Horizontal Inequality: A Novel Decomposition of the Gini Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(2), pages 351-376, June.
    3. Luciano Rossoni & Rodrigo Assunção Rosa, 2024. "Reducing the Matthew Effect on Journal Citations through an Inclusive Indexing Logic: The Brazilian Spell (Scientific Periodicals Electronic Library) Experience," Publications, MDPI, vol. 12(1), pages 1-24, February.
    4. Silvia De Nicol`o & Maria Rosaria Ferrante & Silvia Pacei, 2021. "Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples," Papers 2107.08950, arXiv.org, revised May 2023.
    5. Neves Costa, Rita & Pérez-Duarte, Sébastien, 2019. "Not all inequality measures were created equal - The measurement of wealth inequality, its decompositions, and an application to European household wealth," Statistics Paper Series 31, European Central Bank.
    6. Iñaki Permanyer & Nicolai Suppa, 2022. "Racing ahead or lagging behind? Territorial cohesion in human development around the globe," Regional Studies, Taylor & Francis Journals, vol. 56(12), pages 2086-2101, December.
    7. Anson Au, 2023. "Reassessing the econometric measurement of inequality and poverty: toward a cost-of-living approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

  10. Balcazar, Carlos Felipe & Ceriani, Lidia & Olivieri, Sergio & Ranzani, Marco, 2014. "Rent imputation for welfare measurement : a review of methodologies and empirical findings," Policy Research Working Paper Series 7103, The World Bank.

    Cited by:

    1. Stefan Ederer & Stefan Humer & Stefan Jestl & Emanuel List, 2021. "Distributional National Accounts (DINA) with Household Survey Data. Methodology and Results for European Countries," WIFO Working Papers 599, WIFO.
    2. 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.
    3. Alexeev, Sergey, 2020. "The role of imputed rents in intergenerational income mobility in three countries," Journal of Housing Economics, Elsevier, vol. 49(C).
    4. Pape,Utz Johann & Parisotto,Luca, 2019. "Estimating Poverty in a Fragile Context -- The High Frequency Survey in South Sudan," Policy Research Working Paper Series 8722, The World Bank.
    5. Susanne Elsas & Annika Rinklake, 2022. "Wohnkosten und materielles Wohlergehen von Familien – Analyse der Wohnkostensituation und damit zusammenhängender Wohlfahrtsvorteile," SOEPpapers on Multidisciplinary Panel Data Research 1169, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Chen,Xiaomeng & Mungai,Rose & Nakamura,Shohei & Pearson,Thomas Patrick & Wambile,Ayago Esmubancha & Yoshida,Nobuo, 2020. "How Useful is CPI Price Data for Spatial Price Adjustment in Poverty Measurement? : A Case from Ghana," Policy Research Working Paper Series 9388, The World Bank.
    7. Achille Lemmi & Donatella Grassi & Alessandra Masi & Nicoletta Pannuzi & Andrea Regoli, 2019. "Methodological Choices and Data Quality Issues for Official Poverty Measures: Evidences from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 299-330, January.
    8. Kilgarriff, Paul & Charlton, Martin & Foley, Ronan & O'Donoghue, Cathal, 2019. "The impact of housing consumption value on the spatial distribution of welfare," Journal of Housing Economics, Elsevier, vol. 43(C), pages 118-130.
    9. Kavonius, Ilja Kristian & Törmälehto, Veli-Matti, 2022. "Is the financial market driving income distribution? – An analysis of the linkage between income and wealth in Europe," Working Paper Series 2707, European Central Bank.
    10. Javier Ballesteros Muñoz & Jorge Onrubia, 2022. "Régimen de tenencia de la vivienda habitual y desigualdad de la renta de los hogares españoles," Studies on the Spanish Economy eee2022-26, FEDEA.
    11. Stefan Ederer & Predrag Ćetković & Stefan Humer & Stefan Jestl & Emanuel List, 2022. "Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(3), pages 667-688, September.
    12. Weldensie T Embaye & Yacob Abrehe Zereyesus & Bowen Chen, 2021. "Predicting the rental value of houses in household surveys in Tanzania, Uganda and Malawi: Evaluations of hedonic pricing and machine learning approaches," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-20, February.
    13. Andrea Cutillo & Michele Raitano & Isabella Siciliani, 2022. "Income-Based and Consumption-Based Measurement of Absolute Poverty: Insights from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 689-710, June.

  11. V. Fiorio, Carlo & Ceriani, Lidia & Gigliarano, Chiara, 2013. "The importance of choosing the data set for tax-benefit analysis," EUROMOD Working Papers EM5/13, EUROMOD at the Institute for Social and Economic Research.

    Cited by:

    1. Andrea Albarea & Michele Bernasconi & Cinzia Di Novi & Anna Marenzi & Dino Rizzi & Francesca Zantomio, 2015. "Accounting for tax evasion profiles and tax expenditures in microsimulation modelling. The BETAMOD model for personal income taxes in Italy," Working Papers 2015:24, Department of Economics, University of Venice "Ca' Foscari".
    2. Alexandri, Eva & Figari, Francesco & Longo, Enrico & Suta, Cornelia-Madalina, 2024. "A micro-macro approach for the evaluation of fiscal policies: The case of the Italian tax-benefit reform," Economic Modelling, Elsevier, vol. 135(C).
    3. Callan, Tim & Doorley, Karina & Savage, Michael, 2018. "Inequality in EU Crisis Countries: How Effective Were Automatic Stabilisers?," IZA Discussion Papers 11439, Institute of Labor Economics (IZA).
    4. Figari, Francesco & Sutherland, Holly, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," EUROMOD Working Papers EM8/13, EUROMOD at the Institute for Social and Economic Research.
    5. Bargain, Olivier, 2017. "Welfare analysis and redistributive policies," EUROMOD Working Papers EM16/17, EUROMOD at the Institute for Social and Economic Research.
    6. Fernando Di Nicola & Giorgio Mongelli & Simone Pellegrino, 2015. "The static microsimulation model of the Italian Department of Finance: Structure and first results regarding income and housing taxation," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 125-157.
    7. Lidia Ceriani & Carlo V. Fiorio & Chiara Gigliarano, 2013. "The importance of choosing the data set for tax-benefit analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 86-121.
    8. Paolo Caro, 2020. "Decomposing Personal Income Tax Redistribution with Application to Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 113-129, March.
    9. Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2014. "Microsimulation and policy analysis," ISER Working Paper Series 2014-23, Institute for Social and Economic Research.
    10. Figari, Francesco & Kuypers, Sarah & Verbist, Gerlinde, 2016. "The Eurosystem Household Finance and Consumption Survey: a new underlying database for EUROMOD," EUROMOD Working Papers EM10/16, EUROMOD at the Institute for Social and Economic Research.
    11. Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
    12. Karina Doorley & Tim Callan & Michael Savage, 2021. "What drove income inequality in EU crisis countries during the Great Recession?," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 319-343, June.
    13. Sarah Kuypers & Francesco Figari & Gerlinde Verbist & Dorien Verckist, 2017. "EWIGE - European Wealth data InteGration in EUROMOD," JRC Working Papers on Taxation & Structural Reforms 2017-04, Joint Research Centre.
    14. Figari, Francesco & Verbist, Gerlinde, 2014. "The redistributive effect and progressivity of taxes revisited: an international comparison across the European Union," EUROMOD Working Papers EM6/14, EUROMOD at the Institute for Social and Economic Research.
    15. Michael Christl & Monika Köppl-Turyna & Dénes Kucsera, 2017. "A Tax-Benefit Model for Austria (AUTAX): Work Incentives and Distributional Effects of the 2016 Tax Reform," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 144-176.
    16. Gemma Wright & Helen Barnes & Michael Noble & David McLennan & Faith Masekesa, 2018. "Assessing the quality of the income data used in SAMOD, a South African tax-benefit microsimulation model," WIDER Working Paper Series wp-2018-173, World Institute for Development Economic Research (UNU-WIDER).
    17. Bavaro, Michele & Boscolo, Stefano & Tedeschi, Simone, 2024. "Simulating Long-Run Wealth Distribution and Transmission: The Role of Intergenerational Transfers," INET Oxford Working Papers 2024-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    18. Nicola Curci & Marco Savegnago & Marika Cioffi, 2017. "BIMic: the Bank of Italy microsimulation model for the Italian tax and benefit system," Questioni di Economia e Finanza (Occasional Papers) 394, Bank of Italy, Economic Research and International Relations Area.
    19. Figari, Francesco & Fiorio, Carlo, 2015. "Fiscal consolidation policies in the context of Italy’s two recessions," EUROMOD Working Papers EM7/15, EUROMOD at the Institute for Social and Economic Research.
    20. Paolo Di Caro, 2018. "Redistribution in real-world PIT: Evidence from Italian tax records," Working Papers wp2018-2, Ministry of Economy and Finance, Department of Finance.
    21. Perugini, Francesco, 2024. "Local government efficiency and economic growth: The Italian case," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    22. Paolo Di Caro, 2017. "The contribution of tax statistics for analysing regional income disparities in Italy," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-27, March.
    23. Stefano Boscolo, 2019. "Quantifying the Redistributive Effect of the Erosion of the Italian Personal Income Tax Base: A Microsimulation Exercise," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2019(2), pages 39-80.

  12. Ceriani, Lidia & Verme, Paolo, 2013. "The income lever and the allocation of aid," Policy Research Working Paper Series 6367, The World Bank.

    Cited by:

    1. Bolch, Kimberly B. & Ceriani, Lidia & López-Calva, Luis F., 2022. "The arithmetics and politics of domestic resource mobilization for poverty eradication," World Development, Elsevier, vol. 149(C).
    2. Fantom,Neil James & Serajuddin,Umar, 2016. "The World Bank's classification of countries by income," Policy Research Working Paper Series 7528, The World Bank.

  13. BOSSERT, Walter & CERIANI, Lidia & CHAKRAVARTY, Satya R. & D'AMBROSIO, Conchita, 2012. "Intertemporal Material Deprivation," Cahiers de recherche 2012-06, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Francesco Dotto & Alessio Farcomeni & Maria Grazia Pittau & Roberto Zelli, 2019. "A dynamic inhomogeneous latent state model for measuring material deprivation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(2), pages 495-516, February.
    2. Daniel Nowak & Christoph Scheicher, 2017. "Considering the Extremely Poor: Multidimensional Poverty Measurement for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 139-162, August.
    3. Alkire, Sabina & Apablaza, Mauricio & Chakravarty, Satya & Yalonetzky, Gaston, 2017. "Measuring chronic multidimensional poverty," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 983-1006.
    4. Sabina Alkire & Mauricio Apablaza & Satya R. Chakravarty & Gaston Yalonetzky, 2014. "Measuring Chronic Multidimensional Poverty: A Counting Approach," OPHI Working Papers 75, Queen Elizabeth House, University of Oxford.
    5. Ankita Mishra & Ranjan Ray & Leonora Risse, 2018. "A Multidimensional Dynamic Measure of Child Disadvantage: A Methodological Tool for Policymakers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1187-1218, October.

  14. Lidia Ceriani & Chiara Gigliarano, 2011. "An inter-temporal relative deprivation index," Working Papers 237, ECINEQ, Society for the Study of Economic Inequality.

    Cited by:

    1. Jinyu Pan & Zhenzhi Yang, 2023. "Knowledge mapping of relative deprivation theory and its applicability in tourism research," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.

Articles

  1. Bolch, Kimberly B. & Ceriani, Lidia & López-Calva, Luis F., 2022. "The arithmetics and politics of domestic resource mobilization for poverty eradication," World Development, Elsevier, vol. 149(C).

    Cited by:

    1. Rashmi Umesh Arora & Tapan Sarker, 2023. "Financing for Sustainable Development Goals (SDGs) in the Era of COVID-19 and Beyond," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 1-19, February.
    2. Namahoro, Jean Pierre & Wu, Qiaosheng & Hui, Su, 2023. "Asymmetric linkage between copper-cobalt productions and economic growth: Evidence from Republic Democratic of Congo," Resources Policy, Elsevier, vol. 83(C).

  2. Lidia Ceriani & Chiara Gigliarano, 2020. "Multidimensional Well-Being: A Bayesian Networks Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 237-263, November.
    See citations under working paper version above.
  3. Lidia Ceriani & Paolo Verme, 2015. "Individual Diversity and the Gini Decomposition," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 637-646, April.
    See citations under working paper version above.
  4. Lidia Ceriani & Chiara Gigliarano, 2015. "An Inter-temporal Relative Deprivation Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 427-443, November.
    See citations under working paper version above.
  5. Lidia Ceriani & Paolo Verme, 2014. "The Income Lever and the Allocation of Aid," Journal of Development Studies, Taylor & Francis Journals, vol. 50(11), pages 1510-1522, November.
    See citations under working paper version above.
  6. Lidia Ceriani & Carlo V. Fiorio & Chiara Gigliarano, 2013. "The importance of choosing the data set for tax-benefit analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 86-121.
    See citations under working paper version above.
  7. Lidia Ceriani & Paolo Verme, 2012. "The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 421-443, September.

    Cited by:

    1. Stark, Oded, 2024. "A note on Sen’s representation of the Gini coefficient: Revision and repercussions," Discussion Papers 340108, University of Bonn, Center for Development Research (ZEF).
    2. Stark, Oded & Budzinski, Wiktor, 2021. "A Social-Psychological Reconstruction of Amartya Sen's Measures of Inequality and Social Welfare," IZA Discussion Papers 14761, Institute of Labor Economics (IZA).
    3. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    4. Alfonso Marino & Paolo Pariso & Michele Picariello, 2023. "Exploring the Economic Recovery of Italy’s Regions Post-COVID-19: A focus on Energy, Services, ICT Opportunities, and the Digital Divide," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 271-280, September.
    5. Federico Attili, 2024. "Uncovering Complexities in Horizontal Inequality: A Novel Decomposition of the Gini Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(2), pages 351-376, June.
    6. Arif Khan & Nazim Choudhury & Shahadat Uddin, 2019. "Few research fields play major role in interdisciplinary grant success," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 237-246, April.
    7. Michal Bernard Pietrzak, 2014. "Redefining The Modifiable Areal Unit Problem Within Spatial Econometrics, The Case Of The Aggregation Problem," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(3), pages 131-151, September.
    8. Federico Attili, 2021. "Within-between decomposition of the Gini index: a novel proposal (Rev. ed.)," Working Papers wp1167, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Chopin, Pierre & Doré, Thierry & Guindé, Loïc & Blazy, Jean-Marc, 2015. "MOSAICA: A multi-scale bioeconomic model for the design and ex ante assessment of cropping system mosaics," Agricultural Systems, Elsevier, vol. 140(C), pages 26-39.
    10. 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.
    11. Sadia Hussain & Shafei Moiz Hali & Riaz Ahmad & Sumera Iqbal & Hamza Iftikhar, 2021. "Fiscal decentralization and poverty alleviation: A case study of Pakistan," Poverty & Public Policy, John Wiley & Sons, vol. 13(2), pages 139-154, June.
    12. Paolo Caro, 2020. "Decomposing Personal Income Tax Redistribution with Application to Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 113-129, March.
    13. Mohammed Berkhouch & Fernanda Maria Müller & Ghizlane Lakhnati & Marcelo Brutti Righi, 2022. "Deviation-Based Model Risk Measures," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 527-547, February.
    14. James Alm & Ruslan Grigoryev & Marat Kramin & Timur Kramin, 2016. "Testing Kuznets’ Hypothesis for Russian Regions: Trends and Interpretations," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 560-568.
    15. John Creedy, 2023. "Distributional Comparisons Using the Gini Inequality Measure," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(4), pages 538-550, December.
    16. Hagen, Nils T., 2015. "Contributory inequality alters assessment of academic output gap between comparable countries," Journal of Informetrics, Elsevier, vol. 9(3), pages 629-641.
    17. Lidia Ceriani & Paolo Verme, 2014. "Individual Diversity and the Gini Decomposition," Working Papers 321, ECINEQ, Society for the Study of Economic Inequality.
    18. Guillermo Durán, 2021. "Sports scheduling and other topics in sports analytics: a survey with special reference to Latin America," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 125-155, April.
    19. Lidia Ceriani & Paolo Verme, 2019. "The inequality of extreme incomes," Working Papers 490, ECINEQ, Society for the Study of Economic Inequality.
    20. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
    21. Stefania Capecchi & Maria Iannario, 2016. "Gini heterogeneity index for detecting uncertainty in ordinal data surveys," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 223-232, August.
    22. Maria Grazia Pittau & Roberto Zelli, 2017. "At the roots of Gini’s transvariation: extracts from “Il concetto di transvariazione e le sue prime applicazioni”," METRON, Springer;Sapienza Università di Roma, vol. 75(2), pages 127-140, August.
    23. Matthijs J. Warrens, 2018. "On the Negative Bias of the Gini Coefficient due to Grouping," Journal of Classification, Springer;The Classification Society, vol. 35(3), pages 580-586, October.
    24. Simone Pellegrino, 2020. "The Gini Coefficient: Its Origins," Working papers 070, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
      • Simone Pellegrino, 2024. "The Gini Coefficient: Its Origins," Working papers 086, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    25. Antonelli, Cristiano & Gehringer, Agnieszka, 2017. "Technological change, rent and income inequalities: A Schumpeterian approach," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 85-98.
    26. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    27. Yang Liu & Joseph L. Gastwirth, 2020. "On the capacity of the Gini index to represent income distributions," METRON, Springer;Sapienza Università di Roma, vol. 78(1), pages 61-69, April.
    28. Zou, Li & Reynolds-Feighan, Aisling & Yu, Chunyan, 2022. "Airline seasonality: An explorative analysis of major low-cost carriers in Europe and the United States," Journal of Air Transport Management, Elsevier, vol. 105(C).
    29. Joshua L. Warren & Jiachen Cai & Nicholaus P. Johnson & Nicole C. Deziel, 2022. "A discrete kernel stick‐breaking model for detecting spatial boundaries in hydraulic fracturing wastewater disposal well placement across Ohio," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(1), pages 175-193, January.
    30. Berkhouch, Mohammed & Lakhnati, Ghizlane, 2017. "Extended Gini-type measures of risk and variability," MPRA Paper 80329, University Library of Munich, Germany.
    31. Furman, Edward & Wang, Ruodu & Zitikis, Ričardas, 2017. "Gini-type measures of risk and variability: Gini shortfall, capital allocations, and heavy-tailed risks," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 70-84.
    32. Mohammed Berkhouch & Ghizlane Lakhnati & Marcelo Brutti Righi, 2017. "Extended Gini-type measures of risk and variability," Papers 1707.07322, arXiv.org, revised Mar 2018.
    33. Fiedler, Ingo & Kairouz, Sylvia & Costes, Jean-Michel & Weißmüller, Kristina S., 2019. "Gambling spending and its concentration on problem gamblers," Journal of Business Research, Elsevier, vol. 98(C), pages 82-91.
    34. Anson Au, 2023. "Reassessing the econometric measurement of inequality and poverty: toward a cost-of-living approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    35. Brown, D. Paul, 2015. "Garbage: How population, landmass, and development interact with culture in the production of waste," Resources, Conservation & Recycling, Elsevier, vol. 98(C), pages 41-54.
    36. Nikos Tzavidis & Li‐Chun Zhang & Angela Luna & Timo Schmid & Natalia Rojas‐Perilla, 2018. "From start to finish: a framework for the production of small area official statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 927-979, October.
    37. Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
    38. Jiafang Song & Joshua L. Warren, 2022. "A Directionally Varying Change Points Model for Quantifying the Impact of a Point Source," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(1), pages 46-62, March.
    39. Peter Lambert, 2013. "From the editor of Rediscovered Classics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(2), pages 131-132, June.
    40. Jorge A. Bonilla & Claudia Aravena & Ricardo Morales-Betancourt, 2021. "Assessing Multiple Inequalities and Air Pollution Abatement Policies," Documentos CEDE 19465, Universidad de los Andes, Facultad de Economía, CEDE.
    41. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.
    42. Sudheesh K. Kattumannil & N. Sreelakshmi & N. Balakrishnan, 2022. "Non-Parametric Inference for Gini Covariance and its Variants," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 790-807, August.
    43. Ulrich Schmidt & Philipp C. Wichardt, 2019. "Inequity aversion, welfare measurement and the Gini index," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(3), pages 585-588, March.
    44. Wei Li & Wolfgang Karl Hardle & Stefan Lessmann, 2022. "A Data-driven Case-based Reasoning in Bankruptcy Prediction," Papers 2211.00921, arXiv.org.
    45. Kattumannil, Sudheesh K. & Dewan, Isha & N., Sreelaksmi, 2021. "Non-parametric estimation of Gini index with right censored observations," Statistics & Probability Letters, Elsevier, vol. 175(C).
    46. Jann Michael Weinand & Russell McKenna & Heidi Heinrichs & Michael Roth & Detlef Stolten & Wolf Fichtner, 2021. "Exploring the trilemma of cost-efficient, equitable and publicly acceptable onshore wind expansion planning," Papers 2106.15198, arXiv.org.
    47. Miguel Ángel Mirás Calvo & Iago Núñez Lugilde & Carmen Quinteiro Sandomingo & Estela Sánchez-Rodríguez, 2023. "Deviation from proportionality and Lorenz-domination for claims problems," Review of Economic Design, Springer;Society for Economic Design, vol. 27(2), pages 439-467, June.
    48. Greselin, Francesca & Zitikis, Ricardas, 2015. "Measuring economic inequality and risk: a unifying approach based on personal gambles, societal preferences and references," MPRA Paper 65892, University Library of Munich, Germany.
    49. Francesca Greselin & Ričardas Zitikis, 2018. "From the Classical Gini Index of Income Inequality to a New Zenga-Type Relative Measure of Risk: A Modeller’s Perspective," Econometrics, MDPI, vol. 6(1), pages 1-20, January.
    50. Díaz, Juan D. & Gutiérrez Cubillos, Pablo & Tapia Griñen, Pablo, 2021. "The exponential Pareto model with hidden income processes: Evidence from Chile," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    51. Romero, Natalia & Nozick, Linda K. & Xu, Ningxiong, 2016. "Hazmat facility location and routing analysis with explicit consideration of equity using the Gini coefficient," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 165-181.
    52. Lope, Dinah Jane & Dolgun, Anil, 2020. "Measuring the inequality of accessible trams in Melbourne," Journal of Transport Geography, Elsevier, vol. 83(C).
    53. 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.
    54. Zhu, Le & Shi, Fei, 2022. "Spatial and social inequalities of job accessibility in Kunshan city, China: Application of the Amap API and mobile phone signaling data," Journal of Transport Geography, Elsevier, vol. 104(C).

  8. Lidia Ceriani & Massimo Florio, 2011. "Consumer surplus and the reform of network industries: a primer," Journal of Economics, Springer, vol. 102(2), pages 111-122, March.

    Cited by:

    1. Lidia Ceriani & Simona Scabrosetti & Francesco Scervini, 2018. "Inequality, Privatization and Democratic Institutions in Developing Countries," Working Papers 118, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    2. Yang, Ya-Po & Wu, Shih-Jye & Hu, Jin-Li, 2014. "Market Structure, Production Efficiency, And Privatization," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 55(1), pages 89-108, June.
    3. Mühlenkamp, Holger, 2013. "From state to market revisited: more empirical evidence on the efficiency of public (and privately-owned) enterprises," MPRA Paper 47570, University Library of Munich, Germany.
    4. Chiara Del Bo & Massimo Florio, 2011. "Public enterprises, policy adoption and planning: Three welfare propositions," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1116, Universitá degli Studi di Milano.
    5. Fiorio, Carlo V. & Florio, Massimo & Perucca, Giovanni, 2013. "User satisfaction and the organization of local public transport: Evidence from European cities," Transport Policy, Elsevier, vol. 29(C), pages 209-218.
    6. Carlo V. Fiorio & Massimo Florio, 2010. "A Fair Price for Energy? Ownership versus Market Opening in the EU15," CESifo Working Paper Series 3124, CESifo.
    7. Carlo Vittorio FIORIO & Massimo FLORIO & Giovanni PERUCCA, 2011. "Consumers’ satisfaction and regulation of local public transport: evidence from European cities," Departmental Working Papers 2011-26, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    8. Fiorio, Carlo V. & Florio, Massimo, 2013. "Electricity prices and public ownership: Evidence from the EU15 over thirty years," Energy Economics, Elsevier, vol. 39(C), pages 222-232.
    9. Manto LAMPROPOULOU, 2018. "State‐Owned Enterprises In Greece: The Evolution Of A Paradigm 1996–2016," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(3), pages 491-526, September.
    10. Drago Papler & Štefan Bojnec, 2015. "Economic Effects of Market Liberalization for Electricity," Faculty of Management Koper Monograph Series, University of Primorska, Faculty of Management Koper, number 978-961-266-191-5, June.

Chapters

  1. Lidia Ceriani, 2018. "Vulnerability to poverty: empirical findings," Chapters, in: Conchita D’Ambrosio (ed.), Handbook of Research on Economic and Social Well-Being, chapter 12, pages 284-299, Edward Elgar Publishing.

    Cited by:

    1. Dang, Hai-Anh H & Abanokova, Kseniya & Lokshin, Michael, 2020. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2017," IZA Discussion Papers 13058, Institute of Labor Economics (IZA).
    2. Alfani, Federica & Dabalen, Andrew & Fisker, Peter & Molini, Vasco, 2019. "Vulnerability to stunting in the West African Sahel," Food Policy, Elsevier, vol. 83(C), pages 39-47.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 18 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DEV: Development (5) 2013-03-02 2013-03-23 2015-10-25 2016-07-23 2020-06-22. Author is listed
  2. NEP-ISF: Islamic Finance (3) 2020-10-12 2021-08-30 2021-09-06
  3. NEP-URE: Urban and Real Estate Economics (3) 2014-11-28 2020-03-02 2020-03-02
  4. NEP-LTV: Unemployment, Inequality and Poverty (2) 2019-04-08 2021-09-06
  5. NEP-POL: Positive Political Economics (2) 2016-07-23 2018-12-17
  6. NEP-AFR: Africa (1) 2013-03-02
  7. NEP-CBE: Cognitive and Behavioural Economics (1) 2018-09-10
  8. NEP-CIS: Confederation of Independent States (1) 2016-07-23
  9. NEP-EUR: Microeconomic European Issues (1) 2013-04-27
  10. NEP-GEN: Gender (1) 2020-05-11
  11. NEP-HAP: Economics of Happiness (1) 2016-05-28
  12. NEP-HEA: Health Economics (1) 2020-08-31
  13. NEP-IUE: Informal and Underground Economics (1) 2013-04-27
  14. NEP-MIG: Economics of Human Migration (1) 2018-09-10
  15. NEP-PUB: Public Finance (1) 2013-04-27
  16. NEP-UPT: Utility Models and Prospect Theory (1) 2018-09-10

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Lidia Ceriani should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.