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The role of income poverty and inequality indicators at regional level: An evaluation for Italy and Germany

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  • Benedetti, Ilaria
  • Crescenzi, Federico

Abstract

In light of the EU2030 strategy for poverty alleviation, this paper provides an assessment on the quality of estimates of poverty and inequality indicators at sub-national level (NUTS2) in Germany and Italy. Given the elaborated survey design of EU-SILC and the complexity of some poverty and inequality indicators that we consider in this paper, we use the Taylor linearization approach to estimate their variance. As a further assessment on the goodness of these estimates, we use a Fay–Herriot model to see in what extent we can obtain estimates with lower mean squared error using small area estimation. Our results reveal high territorial heterogeneity in living conditions across sub-national domains, in particular in some southern regions of Italy and some eastern government regions of Germany. Moreover, results from Fay–Herriot model reveals higher gains in efficiency for the 36 government regions of Germany especially for income-inequality indicators.

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  • Benedetti, Ilaria & Crescenzi, Federico, 2023. "The role of income poverty and inequality indicators at regional level: An evaluation for Italy and Germany," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    • Handle: RePEc:eee:soceps:v:87:y:2023:i:pa:s003801212300040x
    DOI: 10.1016/j.seps.2023.101540
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    1. Pouliakas, Konstantinos & Branka, Jiri, 2020. "EU Jobs at Highest Risk of COVID-19 Social Distancing: Will the Pandemic Exacerbate Labour Market Divide?," IZA Discussion Papers 13281, Institute of Labor Economics (IZA).
    2. Angelo Moretti & Natalie Shlomo & Joseph W. Sakshaug, 2021. "Small Area Estimation of Latent Economic Well-being," Sociological Methods & Research, , vol. 50(4), pages 1660-1693, November.
    3. Verma, Vijay & Lemmi, Achille & Betti, Gianni & Gagliardi, Francesca & Piacentini, Mario, 2017. "How precise are poverty measures estimated at the regional level?," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 175-184.
    4. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    5. 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.
    6. Davidson, Russell & Flachaire, Emmanuel, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Journal of Econometrics, Elsevier, vol. 141(1), pages 141-166, November.
    7. Palomino, Juan C. & Rodríguez, Juan G. & Sebastian, Raquel, 2020. "Wage inequality and poverty effects of lockdown and social distancing in Europe," European Economic Review, Elsevier, vol. 129(C).
    8. Vanda Almeida & Salvador Barrios & Michael Christl & Silvia Poli & Alberto Tumino & Wouter Wielen, 2021. "The impact of COVID-19 on households´ income in the EU," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 413-431, September.
    9. Joachim R. Frick & Kristina Krell, 2010. "Measuring Income in Household Panel Surveys for Germany: A Comparison of EU-SILC and SOEP," SOEPpapers on Multidisciplinary Panel Data Research 265, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Miola, Apollonia & Schiltz, Fritz, 2019. "Measuring sustainable development goals performance: How to monitor policy action in the 2030 Agenda implementation?," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    11. Vijay Verma & Gianni Betti, 2011. "Taylor linearization sampling errors and design effects for poverty measures and other complex statistics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1549-1576, August.
    12. Szopik-Depczyńska, Katarzyna & Kędzierska-Szczepaniak, Angelika & Szczepaniak, Krzysztof & Cheba, Katarzyna & Gajda, Waldemar & Ioppolo, Giuseppe, 2018. "Innovation in sustainable development: an investigation of the EU context using 2030 agenda indicators," Land Use Policy, Elsevier, vol. 79(C), pages 251-262.
    13. Ilaria Benedetti & Federico Crescenzi & Tiziana Laureti, 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    14. Caterina Giusti & Lucio Masserini & Monica Pratesi, 2017. "Local Comparisons of Small Area Estimates of Poverty: An Application Within the Tuscany Region in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 235-254, March.
    15. Claudio Ceccarelli & Enrico Fabrizi & Maria Rosaria Ferrante & Silvia Pacei, 2008. "Estimation of Poverty Rates for the Italian Population classified by Household Type and Administrative Region," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 10(1), pages 59-72, October.
    16. Menyhert, Balint & Cseres-Gergely, Zsombor & Kvedaras, Virmantas & Mina, Benedetta & Pericoli, Filippo & Zec, Slavica, 2021. "Measuring and monitoring absolute poverty (ABSPO) – Final Report," JRC Research Reports JRC127444, Joint Research Centre.
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