Chiara Gigliarano

Biographic Data

ID4261332
NAMEChiara Gigliarano
GIVEN NAMESChiara
FAMILY NAMEGigliarano
SIGNATUREGIGLIARANO C
AFFILIATIONSUniversity of Insubria
ORCID0000-0003-2861-1316
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS15
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2025
H-INDEX2

  • Quality of government for environmental wellbeing? Subnational evidence from European regions

    Open AccessAndrea Vaccaro, Carlotta Montorsi et al.ARTICLERegional Studies Regional Science2025References: 11

    This study investigates the relationship between quality of government and environmental wellbeing in European regions at the NUTS-2 level. First, we find that subnational environmental data are spatially interdependent. Then, we construct a set of composite indicators of environmental wellbeing via Bayesian spatial factor analysis. Finally, by using these composite indicators in spatial regression analysis, we show that institutional quality is …

  • Impact of Covid-19 on elderly population well-being

    Open AccessGloria Polinesi, Mariateresa Ciommi et al.ARTICLEQuality & Quantity2024

    The aim of this paper is to analyse the effect of COVID-19 on multidimensional well-being in the European population aged 50 and over by measuring changes in individual well-being before and after the pandemic outbreak. To capture the multidimensional nature of well-being, we consider different dimensions: economic well-being, health status, social connections and work status. We introduce new indices of change in individual well-being that measu…

  • Spatial Comprehensive Well-Being Composite Indicators Based on Bayesian Latent Factor Model

    Open AccessCarlotta Montorsi, Chiara GigliaranoARTICLESocial Indicators Research2024References: 6

    This paper proposes spatial comprehensive composite indicators to evaluate the well-being levels and ranking of Italian provinces with data from the Equitable and Sustainable Well-Being dashboard. We use a method based on Bayesian latent factor models, which allow us to include spatial dependence across Italian provinces, quantify uncertainty in the resulting estimates, and estimate data-driven weights for elementary indicators. The results revea…

  • Well-Being and Territory

    Open AccessMatteo Mazziotta, Chiara Gigliarano et al.ARTICLESocial Indicators Research2022Cited by: 1

  • It is the Total that Does [Not] Make the Sum

    Open AccessMariateresa Ciommi, Chiara Gigliarano et al.ARTICLESocial Indicators Research2022Cited by: 2References: 10

  • Multidimensional Poverty Index with Dependence-Based Weights

    Open AccessKateryna Tkach, Chiara GigliaranoARTICLESocial Indicators Research2020Cited by: 2References: 6

  • Multidimensional Well-Being

    Open AccessLidia Ceriani, Chiara GigliaranoARTICLESocial Indicators Research2020Cited by: 1References: 40

  • Optimal targeting under budget constraints in a humanitarian context

    Open AccessPaolo Verme, Chiara GigliaranoARTICLEWorld Development2018Cited by: 2References: 3

    The paper uses Receiver Operating Characteristic (ROC) curves and related indexes to determine the optimal targeting strategy of a food voucher program for refugees. Estimations focus on the 2014 food voucher administered by the World Food Program to Syrian refugees in Jordan using data collected by the United Nations High Commissioner for Refugees. The paper shows how to use ROC curves to optimize targeting using coverage rates, budgets, or pove…

  • Have Your Cake and Eat it Too

    Open AccessMariateresa Ciommi, Andrea Gentili et al.ARTICLESocial Indicators Research2017Cited by: 3References: 22

  • An Inter-temporal Relative Deprivation Index

    Open AccessLidia Ceriani, Chiara GigliaranoARTICLESocial Indicators Research2014Cited by: 2References: 1

  • Constructing indices of multivariate polarization

    Open AccessChiara Gigliarano, Karl MoslerARTICLEThe Journal of Economic Inequality2008Cited by: 2References: 2