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Lidia Ceriani

Personal Details

First Name:Lidia
Middle Name:
Last Name:Ceriani
Suffix:
RePEc Short-ID:pce132

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 & 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).
  2. 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.
  3. Ceriani,Lidia & Olivieri,Sergio Daniel & Ranzani,Marco, 2019. "Housing, Imputed Rent, and Households'Welfare," Policy Research Working Paper Series 8955, The World Bank.
  4. Lidia Ceriani & Paolo Verme, 2019. "The inequality of extreme incomes," Working Papers 490, ECINEQ, Society for the Study of Economic Inequality.
  5. 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.
  6. Ceriani,Lidia & Verme,Paolo, 2018. "Risk preferences and the decision to flee conflict," Policy Research Working Paper Series 8376, The World Bank.
  7. 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.
  8. Lidia Ceriani & Chiara Gigliarano, 2016. "Multidimensional well-being: A Bayesian Networks approach," Working Papers 399, ECINEQ, Society for the Study of Economic Inequality.
  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. 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.
  11. Lidia Ceriani & Caterina Ruggeri Laderchi, 2015. "Poverty and Social Exclusion in Bosnia and Herzegovina," World Bank Other Operational Studies 22473, The World Bank.
  12. Ceriani, Lidia & Verme, Paolo, 2014. "Individual diversity and the Gini decomposition," Policy Research Working Paper Series 6763, The World Bank.
  13. 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.
  14. Ceriani, Lidia & Fiorio, Carlo V. & 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.
  15. Ceriani, Lidia & Verme, Paolo, 2013. "The income lever and the allocation of aid," Policy Research Working Paper Series 6367, The World Bank.
  16. 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.
  17. Lidia Ceriani & Chiara Gigliarano, 2011. "An inter-temporal relative deprivation index," Working Papers 237, ECINEQ, Society for the Study of Economic Inequality.

Articles

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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 & 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. Domenico Depalo, 2021. "True COVID-19 mortality rates from administrative data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 253-274, January.

  2. 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. 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.

  3. 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.

  4. 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. Paolo Verme & Kirsten Schuettler, 2019. "The Impact of Forced Displacement on Host Communities: A Review of the Empirical Literature in Economics," HiCN Working Papers 302, Households in Conflict Network.
    2. 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.
    3. 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.
    4. Issifou,Ismael, 2020. "Understanding Decisions Made on Asylum Applications in Host Countries," Policy Research Working Paper Series 9153, The World Bank.

  5. 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. Omar A. Guerrero & Gonzalo Casta~neda, 2019. "Quantifying the Coherence of Development Policy Priorities," Papers 1902.00430, arXiv.org.
    2. 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.
    3. Gonzalo Castañeda & Omar A. Guerrero, 2018. "The Resilience of Public Policies in Economic Development," Complexity, Hindawi, vol. 2018, pages 1-15, October.

  6. 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.

  7. 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. 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.

  8. 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. 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.
    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. Utz Pape & Luca Parisotto, 2019. "Estimating Poverty in a Fragile Context – The High Frequency Survey in South Sudan," HiCN Working Papers 305, Households in Conflict Network.
    4. 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.

  9. Ceriani, Lidia & Fiorio, Carlo V. & 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. 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 (Seville site).
    2. 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".
    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. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    5. Verbist, Gerlinde & Figari, Francesco, 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.
    6. 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.
    7. Bargain, Olivier, 2017. "Welfare analysis and redistributive policies," EUROMOD Working Papers EM16/17, EUROMOD at the Institute for Social and Economic Research.
    8. 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.
    9. 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.
    10. 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.
    11. Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2014. "Microsimulation and policy analysis," ISER Working Paper Series 2014-23, Institute for Social and Economic Research.
    12. Kuypers, Sarah & Figari, Francesco & 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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.

  10. 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. 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.
    4. 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.

Articles

  1. 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.
  2. 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.
  3. 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. Ceriani, Lidia & Verme, Paolo, 2014. "Individual diversity and the Gini decomposition," Policy Research Working Paper Series 6763, The World Bank.
    2. 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.
    3. Berkhouch, Mohammed & Lakhnati, Ghizlane, 2017. "Extended Gini-type measures of risk and variability," MPRA Paper 80329, University Library of Munich, Germany.
    4. 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.
    5. Mohammed Berkhouch & Ghizlane Lakhnati & Marcelo Brutti Righi, 2017. "Extended Gini-type measures of risk and variability," Papers 1707.07322, arXiv.org, revised Mar 2018.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Lidia Ceriani & Paolo Verme, 2019. "The inequality of extreme incomes," Working Papers 490, ECINEQ, Society for the Study of Economic Inequality.
    19. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
    20. 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.
    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. 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, Open Access Journal, vol. 6(1), pages 1-20, January.
    24. 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.
    25. 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.
    26. Lope, Dinah Jane & Dolgun, Anil, 2020. "Measuring the inequality of accessible trams in Melbourne," Journal of Transport Geography, Elsevier, vol. 83(C).
    27. 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.
    28. 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.
    29. 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.

  4. 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. 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.
    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 F. DEL BO & Massimo FLORIO, 2011. "Public enterprises, policy adoption and planning: three welfare propositions," Departmental Working Papers 2011-28, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    5. 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.
    6. 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.
    7. 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.
    8. 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, August.
    9. Carlo V. Fiorio & Massimo Florio, 2010. "A Fair Price for Energy? Ownership versus Market Opening in the EU15," CESifo Working Paper Series 3124, CESifo.

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 & 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 15 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-URE: Urban & Real Estate Economics (3) 2014-11-28 2020-03-02 2020-03-02
  3. NEP-POL: Positive Political Economics (2) 2016-07-23 2018-12-17
  4. NEP-AFR: Africa (1) 2013-03-02
  5. NEP-CBE: Cognitive & Behavioural Economics (1) 2018-09-10
  6. NEP-CIS: Confederation of Independent States (1) 2016-07-23
  7. NEP-EUR: Microeconomic European Issues (1) 2013-04-27
  8. NEP-GEN: Gender (1) 2020-05-11
  9. NEP-HAP: Economics of Happiness (1) 2016-05-28
  10. NEP-HEA: Health Economics (1) 2020-08-31
  11. NEP-IUE: Informal & Underground Economics (1) 2013-04-27
  12. NEP-LTV: Unemployment, Inequality & Poverty (1) 2019-04-08
  13. NEP-MIG: Economics of Human Migration (1) 2018-09-10
  14. NEP-PUB: Public Finance (1) 2013-04-27
  15. NEP-UPT: Utility Models & Prospect Theory (1) 2018-09-10

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IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.