Pubblicazioni

Most cited papers:
  • Tavares F.F., Betti G. (2021), The Pandemic of Poverty, Vulnerability, and COVID-19: Evidence from a Fuzzy Multidimensional Analysis of Deprivations in Brazil, World Development, 139, 105307, (preprints reached the top-ten most read articles in the COVID-19 research community page in May and November 2020).
  • Aassve A., Betti G., Mazzuco S., Mencarini L. (2007), Marital Disruption and Economic Well-being; A Comparative Analysis, Journal of the Royal Statistical Society, Series A, 170(3), pp. 781-799, (5th most cited paper in JRSS-A 2007, source Scopus).
  • Betti G., Dourmashkin N., Rossi M.C., Yin Y.P. (2007), Measuring and Characterising Consumer Over-Indebtedness in the European Union Member Countries, Journal of Economic Studies, 34(2), pp. 136-156, (5th most cited paper in JES 2007, source Scopus).
  • Betti G., Verma V. (2008), Fuzzy measures of the incidence of relative poverty and deprivation: a multi-dimensional perspective, Statistical Methods and Applications, 12(2), pp. 225-250, (2nd most cited paper in SMA 2008, source Scopus).
  • Betti G., Gagliardi F., Lemmi A., Verma V. (2012), Sub-national indicators of poverty and deprivation in Europe: methodology and applications, Cambridge Journal of Regions, Economy and Society, 5(1), pp. 149-162, (3rd most cited paper in CJ-RES 2012, source Scopus).
  • Verma V., Betti G. (2011), Taylor linearization sampling errors and design effects for poverty measures and other complex statistics, Journal of Applied Statistics, 38(8), pp. 1549-1576, (7th most cited paper in JAS 2011, source Scopus).
  • Betti G., Gagliardi F., Lemmi A., Verma V. (2015), Comparative Measures of Multidimensional Deprivation in the European Union, Empirical Economics, 49(3), pp. 1071-1100, (2nd most cited paper in EE 2015, source Scopus).
  • Betti G., Gagliardi F., Verma V. (2018), Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty, International Statistical Review, 86(1), pp. 68-86, (6th most cited paper in ISR 2018, source Scopus).
  • Betti G., D’Agostino A., Neri L., (2002), Panel Regression Models for Measuring Multidimensional Poverty Dynamics, Statistical Methods and Applications, 11(3), pp 359-369, (3rd most cited paper in SMA 2002, source Scopus).
  • Betti G., Lundgren L. (2012), The impact of remittances and equivalence scales on poverty in Tajikistan, Central Asian Survey, 31(4), pp. 395–408, (Most cited paper in CAS 2012, source Scopus).
  • Cheli B., Betti G. (1999), Fuzzy analysis of poverty dynamics on an Italian pseudo panel, 1985-1994, Metron, 57(1-2), pp. 83-104, (Most cited paper in Metron 1999, source Scopus).
Books

1)    Betti, G., Bettio, F., Georgiadis, T., Tinios P. (2015), Unequal ageing in Europe: women’s independence and pensions; New York: Palgrave Macmillan.

Edited Books

1)    Betti G., Lemmi A. (2021, eds.), Analysis of Socio-Economic Conditions: Insights from a Fuzzy Multidimensional Approach. London and New York: Routledge.

2)    Betti G., Lemmi A. (2013, eds.), Poverty and Social Exclusion: New Methods of Analysis. London and New York: Routledge.

3)    Betti G., Lemmi A. (2008, eds.), Advances on income inequality and concentration measures. London and New York: Routledge.

4)    Lemmi A., Betti G. (2006, eds.), Fuzzy Set Approach to Multidimensional Poverty Measurement. New York: Springer.

Journal Articles
  • Betti G., Gagliardi F., Ghellini G., Lombardi G. (2024), Overqualifcation unreveled: a multidimensional and fuzzy set analysis, Quality and Quantity, 2024.
  • Betti G., Molini V., Mori L. (2024), An attempt to correct the underestimation of inequality measures in cross-survey imputation through generalized additive models for location, scale and shape, Socio-Economic Planning Sciences, 91, 101784.
  • Tavares F.F., Betti G. (2024), Gender Differences in Multidimensional Poverty in Brazil: A Fuzzy Approach, Social Indicators Research, 175(2), pp. 385–422.
  • Betti, G., Crescenzi, F., Molini, V., Mori, L. (2024), Estimation of Multidimensional Poverty in Morocco: A Small Area Estimation Approach Using Meteorological and Socio-economic Covariates, Social Indicators Research, 175(2), pp. 545 – 575.
  • Betti, G., Evangelista, D., Gagliardi, F., Giordano, E., Riccaboni, A. (2024), Towards Integrating Information Systems of Statistical Indicators on Traceability, Quality and Safety of Italian Agrifood Systems for Citizens, Institutions and Policy-Makers, Sustainability, 16(15), 6330.
  • Betti, G., Molini, V., Pavelesku, D. (2023), Using poverty maps to improve the design of household surveys: the evidence from Tunisia, Statistical Methods and Applications, 32(5), pp. 1641–1657.
  • Handastya N., Betti G. (2023), The ‘Double Fuzzy Set’ Approach to Multidimensional Poverty Measurement: With a Focus on the Health Dimension, Social Indicators Research, 166, pp. 201-217.
  • Betti G., Cervellera G.P., Gagliardi F., Gioia C., Patrizi N., Bastianoni S. (2022), Perceptions and attitudes toward blue energy and technologies in the Mediterranean area: ASKYOURCITIZENSONBE, Frontiers in Energy Research, 10, 973952.
  • Franceschi S., Betti G., Fattorini L., Gagliardi F., Montrone G. (2022), Balanced sampling of boxes from batches for assessing quality of fruits and vegetables in EU countries, Quality & Quantity, 56, pp. 2821–2839.
  • Betti G., Gagliardi F., Neri L. (2021), The Heavy Burden of “Dependent Children”: An Italian Story, Sustainability, 13, 9905.
  • Sestini S., Paneghetti L., Lamp C., Betti G., Bond S., Bellettato C.M., Scarpa M. (2021), Social and medical needs of rare metabolic patients: results from a MetabERN survey, Orphanet Journal of Rare Diseases, 16(1), 336.
  • Benedetti, I., Betti, G., Crescenzi, F. (2020), Measuring child poverty and its uncertainty: A case study of 33 European countries, Sustainability, 12(19), 8204.
  • Bettio, F., Ticci, E., Betti, G. (2020), Does gender equality reduce violence against women? [L’eguaglianza di genere riduce la violenza sulle donne?], Rassegna Italiana di Sociologia, 61(1), pp. 29-57.
  • Betti, G., Neri, L., Lonzi, M., Lemmi, A. (2020), Objective Environmental Indicators and Subjective Well-Being: Are They Directly Related?, Sustainability, 12(6), 2277.
  • Betti, G., D’Agostino, A., Gagliardi, F., Giusti, C. (2020), The integrated fuzzy and relative index for poverty analysis: a review of applications in the social sciences, Studies of Applied Economics – Estudios de Economía Aplicada, 38(1), pp. 1-14.
  • Betti, G., D’Agostino, A., Ghellini, G., Longobardi, S. (2020), Measuring the impact of financial crisis on quality of life in Europe, Economics Bulletin, 40(1), pp. 292-307.
  • Bettio, F., Ticci, E., Betti, G. (2020), A fuzzy index and severity scale to measure violence against women, Social Indicators Research, 148(1), pp. 225-249.
  • Su, W., Betti, G. Ucar, B. (2020), Longitudinal measures of fuzzy poverty: a focus on Czechia, Hungary and Poland after the crisis, Quality and Quantity, 54, pp. 27-41.
  • Betti G., Mangiavacchi L., Piccoli L. (2020), Women and Poverty: Insights from Individual Consumption in Albania, Review of Economics of the Household, 18(1), pp. 69-91.
  • Casini M., Bastianoni S., Gagliardi F., Gigliotti M., Riccaboni A., Betti G. (2019), Sustainable Development Goals Indicators: A Methodological Proposal for a Multidimensional Fuzzy Index in the Mediterranean Area, Sustainability, 11(4), 1198.
  • Ciani M., Gagliardi F., Riccarelli S., Betti G. (2019), Fuzzy Measures of Multidimensional Poverty in the Mediterranean Area: A Focus on Financial Dimension, Sustainability, 11(1), 143.
  • Saladini F., Betti G., Ferragina E., Bouraoui F., Cupertino S., Canitano G., Gigliotti M., Autino A., Pulselli F.M., Riccaboni A., Bidoglio G., Bastianoni S. (2018), Linking the Water-Energy-Food Nexus and Sustainable Development Indicators for the Mediterranean Region, Ecological Indicators, 91, pp. 689-697.
  • Betti, G., Consolandi, C., Eccles, R.G. (2018), The Relationship Between Investor Materiality and the Sustainable Development Goals. A Methodological Framework, Sustainability, 10(7), 2248.
  • Betti G., Bici R., Neri L., Thomo L., Sohnesen T.P. (2018), Local Poverty and Inequality in Albania, Eastern European Economics, 56(3), pp. 223-245.
  • Betti G., Gagliardi F. (2018), Extension of JRR Method for Variance Estimation of Net Changes in Inequality Measures, Social Indicators Research, 137(1), pp. 45-60.
  • Verma V., Lemmi A., Betti G., Gagliardi F., Piacentini M. (2017), How precise are poverty measures estimated at the regional level?, Regional Science and Urban Economics, 66, pp. 175-184.
  • Betti G. (2017), Quantifying the economic cost of children: a note on intertemporal equivalence scales, Quality and Quantity, 51(3), pp. 1197-1205.
  • Verma V., Betti G., Gagliardi F. (2017), Fuzzy measures of longitudinal poverty in a comparative perspective, Social Indicators Research, 130(2), pp. 435-454.
  • Betti G., Karadag M.A., Sarica O., Ucar B. (2017), Regional differences in equivalence scales in Turkey, Economy of Region, 13(1), pp 63-69.
  • Betti G., Karadag M.A., Sarica O., Ucar B. (2017), How to Reduce the Impact of Equivalence Scales on Poverty Measurement: Evidence from Turkey, Social Indicators Research, 132(3), pp. 1023-1035.
  • Betti G. (2017), What impact has the economic crisis had on Quality of Life in Europe?: A multidimensional and fuzzy approach, Quality and Quantity, 51(1), pp. 351-364.
  • Betti G. (2017), Fuzzy measures of quality of life in Germany: a multidimensional and comparative approach, Quality and Quantity, 51(1), pp. 23-34.
  • Betti G. (2016), Fuzzy measures of quality of life: a multidimensional and comparative approach, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 24, Suppl. 1, pp. 25-37.
  • Crescenzi F., Betti G., Gagliardi F. (2016), Comparing small area techniques for estimating poverty measures: the case study of Austria and Spain, Economy of Region, 12(2), pp. 80-88.
  • Betti G., Soldi R., Talev I. (2016), Fuzzy Multidimensional Indicators of Quality of Life: The Empirical Case of Macedonia, Social Indicators Research, 127(1), pp. 39-53.
  • Kreter A.C., Betti G., Del-Vecchio R., Staduto J.A.R. (2015), The Siena Micro-Simulation Model (SM2): a contribution for informality studies in Brazil, Quality and Quantity, 49(6), pp. 2251-2268.
  • Betti G., Caruana E., Gusman S., Neri L. (2015), Economic poverty and inequality at regional level in Malta: focus on the situation of children, Economy of Region, 11(3), pp 114-122.
  • Betti G., Gagliardi F., Salvucci V. (2014), Multidimensional and Fuzzy Measures of Poverty at Regional Level in Mozambique, Economy of Region, 10(4), pp 114-128.
  • Betti, G. (2014), The effect of equivalence scales on poverty at Oblast level in Ukraine, Economy of Region, 10(2), pp. 78-88.
  • Betti G., Maitino M.L., Sciclone N. (2012), A cosa servono i modelli di micro simulazione? Tre applicazioni usando MICROREG, Scienze Regionali, Italian Journal of Regional Science, 11(1), pp. 101-120.
  • Zannolli R., Buoni S., Betti G., Salvucci S., Plebani A., Soresina A., Pietrogrande M.C., Martino S., Leuzzi V., Finocchi A., Micheli R., Rossi L.N., Brusco A., Misiani F., Fois A., Hayek J., Kelly C., Chessa L. (2012), A Randomized Trial of Oral betamethasone to reduce ataxia symptoms in ataxia telangiectasia, Movement Disorders, 27(10), pp. 1312-1316.
  • Betti G., Donatiello G., Verma V. (2011), The Siena Micro Simulation Model (SM2) for net-gross conversion of EU-SILC income variables, International Journal of Microsimulation, 4(1), 35-53.
  • Betti G., D’Agostino A., Neri L. (2011), Educational Mismatch of Graduates: a Multidimensional and Fuzzy Indicator, Social Indicators Research, 103(3), pp. 465-480.
  • Zannolli R., Buoni S., Tassini M., De Nicola A., Betti G., De Felice C., Orsi A., Varetti M.C., Ferrara F., Messina M., Giannini C., Mohn A., Chiarelli F., Liberati M., Strambi M., Funghini S., Vivi A., Wevers R.A., Hayek J. (2010), Silent increase of urinary ethylmalonic acid is an indicator of nonspecific brain dysfunction, NMR in Biomedicine, 23, pp. 353-358.
  • Betti G., D’Agostino A., Lemmi A., Quintano C. (2009), A parametric model for estimating fuzzy poverty measures and relative standard errors, Politica Economica, 25(3), pp. 279-299.
  • Ballini F., Betti G., Carrette S., Neri L. (2009), Poverty and Inequality mapping in the Commonwealth of Dominica, Estudios Economicos, 2, pp. 123-162. ISSN: 0425-368X.
  • Betti G., Ballini F. (2008), Variance estimates of poverty and inequality measures in Albania, Eastern European Economics, 46(6), pp. 87-101.
  • Verma V., Betti G., Ghellini G. (2007), Cross-sectional and longitudinal weighting in a rotational household panel: applications to EU-SILC, Statistics in Transition, 8(1), pp. 5-50.
  • Verma V., Betti G. (2006), EU Statistics on Income and Living Conditions (EU-SILC): Choosing the survey structure and sample design, Statistics in Transition, 7(5), pp. 935-970.
  • Betti G., Lemmi A., Verma V. (2005), School-to-work transitions in the European Union: evidence from the ECHP. Innovation: The European Journal of Social Science Research, 18(4), pp. 419-442.
  • Neri L., Ballini F., Betti G. (2005), Poverty and inequality mapping in transition countries, Statistics in Transition, 7(1), 135-157.
  • Betti G., Cheli B., Cambini R. (2004), A statistical model for the dynamics between two fuzzy states: theory and application to poverty analysis, Metron, 62(3), pp. 391-411.
  • Molnar M., Betti G., Panduru F. (2003), Consumption pattern and equivalence scales in Romania, OEconomica – Romanian Economic Review, 12(2), pp. 207-221.
  • Betti G. (2000), Intertemporal Equivalence Scales, Rivista Internazionale di Scienze Sociali, 25(2), 21-36.
  • Betti G. (1999), A Non-parametric approach to equivalence scales, Statistics in Transition, 4(2), pp. 181-194.
  • Betti G. (1996), A longitudinal approach to poverty analysis: the latent class Markov model, Statistica, 56(3), pp. 345-359.
Book chapters
  • Betti G., D’Agostino A., Lemmi A., Neri L. (2023), The fuzzy approach to poverty measurement, in Silber J. (ed.), Research Handbook on Measuring Poverty and Deprivation. Cheltenham and Northampton (MA): Edward Elgar Publishing Limited, pp. 489-500.
  • Betti G., Crescenzi F., Gagliardi F. (2021), Can a Neighbouring Region Influence Poverty? A Fuzzy and Longitudinal Approach, in Betti G., Lemmi A. (eds.), Analysis of Socio-Economic Conditions: Insights from a Fuzzy Multidimensional Approach. London and New York: Routledge, pp. 53-69.
  • Betti G., Gagliardi F., Verma V. (2021), JRR Variance Estimates for Longitudinal Fuzzy Measures of Multi-Dimensional Poverty, in Betti G., Lemmi A. (eds.), Analysis of Socio-Economic Conditions: Insights from a Fuzzy Multidimensional Approach. London and New York: Routledge, pp. 99-119.
  • Bettio F., Betti G., Ticci E. (2021), The Fuzzy Perspective on Violence against Women: Challenges and Advancements, in Betti G., Lemmi A. (eds.), Analysis of Socio-Economic Conditions: Insights from a Fuzzy Multidimensional Approach. London and New York: Routledge, pp. 219-238.
  • Betti G., Boulet C., Till M. (2020), Assessing and Improving Survey Methods, in UNECE (2020), POVERTY MEASUREMENT: GUIDE TO DATA DISAGGREGATION, UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE, Geneva, pp. 103-146.
  • Betti G., Gagliardi F., Verma V. (2016), Variance estimation for cumulative and longitudinal poverty indicators from panel data at regional level, in Pratesi M. (ed.), Analysis of Poverty Data by Small Area Estimation, John Wiley & Sons, Ltd, pp.129-147.
  • Marano G., Betti G., Gagliardi F. (2015), Latent Class Markov Models for Measuring Longitudinal Fuzzy Poverty, in Carpita, Brentari E. and Qannari E. M. (Eds.), Advances in Latent Variables: Methods, Models and Applications, Studies in Theoretical and Applied Statistics, Springer Science+Business Media, New York, pp. 73-81.
  • Lemmi A., Berti F., Betti G., D’Agostino A., Gagliardi F., Gambacorta R., Masi A., Neri L., Panuzzi N., Regoli A., Vitaletti S. (2013): Povertá e deprivazione. In: Saraceno, C., Sartor, N., Sciortino, G. (eds.), Stranieri e Disuguali. Le disuguaglianze nei diritti e nelle condizioni di vita degli immigrati, pp. 149–174. Il Mulino, Bologna.
  • Betti G., Gagliardi F., Salvucci V. (2013), Multidimensional and Fuzzy Measures of Poverty and Inequality at National and Regional Level in Mozambique, in Betti G., Lemmi A. (eds.), Poverty and Social Exclusion: New Methods of Analysis. London and New York: Routledge, pp. 78-105.
  • Betti G., Lemmi A. (2013), Poverty and Social Exclusion in 3D: Multidimensional, Longitudinal and Small Area Estimation, in Betti G., Lemmi A. (eds.), Poverty and Social Exclusion: New Methods of Analysis. London and New York: Routledge, pp. 301-315.
  • Betti G., Dabalen A., Ferré C., Neri L. (2013), Updating Poverty Maps Between Censuses: A Case Study of Albania, in Laderchi C.R., Savastano S. (eds.), Poverty and Exclusion in the Western Balkans, Economic Studies in Inequality, Social Exclusion and Well-Being 8, Springer Science+Business Media, New York, pp. 55-70.
  • Betti, G., Çalik G., Karakas M. (2013), Multidimensional and Fuzzy Measures of Poverty and Inequality in Turkey at National and Regional Level, in Bérenger V., Bresson F. (eds.), Poverty and Social Exclusion Around the Mediterranean Sea, Economic Studies in Inequality, Social Exclusion and Well-Being 9, Springer Science+Business Media, New York, pp. 89-108.
  • Verma V., Ghellini G., Betti G. (2010), Area Sampling for Small-Scale Economic Units, in Benedetti R., Bee M., Espa G., Piersimoni F. (eds.), Agricultural Survey Methods, John Wiley & Sons, Ltd, pp. 85-106.
  • Aassve A., Betti G., Mazzuco S., Mencarini L. (2009), Marital Disruption and Economic Well-being: Poverty, Income and Lifestyle Deprivation, in Andreβ J., Hummelsheim D. (eds.), When Marriage Ends, Edward Elgar Publishing Ltd, pp. 330-360.
  • Betti G., D’Agostino A., Lemmi A. (2008), Fuzzy monetary poverty measures under a Dagum income distributive hypothesis, in Chotikapanich D. (ed.), Modeling Income Distributions and Lorenz Curves, New York: Springer, pp. 225-240.
  • Betti G., Cheli B., Lemmi A., Verma V. (2008), The Fuzzy Approach to Multidimensional Poverty: the Case of Italy in the 1990s, in Kakwani N., Silber J. (eds.), Quantitative Approaches to Multidimensional Poverty Measurement, Palgrave Macmillan, pp. 30-48.
  • Betti G., Cheli B., Lemmi A., Verma V. (2006), Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach, in Lemmi A., Betti G. (eds.), Fuzzy Set Approach to Multidimensional Poverty Measurement. New York: Springer, pp. 111-137.
  • Betti G., D’Agostino A., Neri L. (2006), Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression, in Lemmi A., Betti G. (eds.), Fuzzy Set Approach to Multidimensional Poverty Measurement. New York: Springer, pp. 257-275.