Laura Neri

Prof. Laura Neri

Department Economics and Statistics, University of Siena, The Camilo Dagum /Tuscan Universities Research Centre

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2015 in Global Environmental Change
Verified
Journal Article
Closed access
FPFederico M. Pulselli
Federico M. Pulselli
LCLuca Coscieme
Luca Coscieme
LNLaura Neri
Laura Neri
Andrea RegoliAndrea Regoli
Andrea Regoli
Paul SuttonPaul Sutton
Paul Sutton
SBSimone Bastianoni
Simone Bastianoni

21 September 2010 in Social Indicators Research
Verified
Journal Article
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PDF file
GBGianni Betti
Gianni Betti
ADAntonella D'Agostino
Antonella D'Agostino
LNLaura Neri
Laura Neri

1 January 2017 in Ecological Indicators
Verified
Journal Article
Closed access
LNLaura Neri
Laura Neri
ADAntonella D'Agostino
Antonella D'Agostino
Andrea RegoliAndrea Regoli
Andrea Regoli
FPFederico Maria Pulselli
Federico Maria Pulselli
LCLuca Coscieme
Luca Coscieme

1 October 2002 in Statistical Methods & Applications
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Journal Article
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PDF file
GBGianni Betti
Gianni Betti
ADAntonella D'Agostino
Antonella D'Agostino
LNLaura Neri
Laura Neri

5 August 2014 in International Journal of Social Economics
Verified
Journal Article
Closed access
FBFabio Berti
Fabio Berti
ADAntonella D'Agostino
Antonella D'Agostino
ALAchille Lemmi
Achille Lemmi
LNLaura Neri
Laura Neri
Purpose: – Italy has become a migrant receiving country and it has to face with the problem of social inclusion of immigrants. The purpose of this paper is to measure the gap on poverty and deprivation between immigrants and natives since manifest conditions of both of them are an important signal, although not exclusively, of social exclusion.Design/methodology/approach: – Poverty analysis typically relies on a single monetary variable such as income and it is characterized by a simple dichotomization of the population into poor and non-poor. In this paper the authors stress the importance of using a multidimensional and fuzzy approach in order to study disparities between immigrants and natives. The authors cover several of the multifaceted aspects of resources necessary to maintain adequate living standards in a developed country. With the fuzzy methodology, the authors also overcome any limitation of the conventional approach based on the simple dichotomization of the phenomenon.Findings: – The empirical analysis is based on data from two official surveys. The authors find that between Italian and immigrant households there are significant differences in poverty and deprivation levels, with a strong disadvantage for the latter. The authors argue that any serious attempt to reduce poverty and deprivation must now include comprehensive reforms in the nation's immigration policies if they are to be taken seriously.Originality/value: – The paper makes an original contribution to the understanding of inequality between immigrants and natives, by studying a complex phenomena such as poverty and deprivation in a multidimensional perspective using a fuzzy approach.

12 March 2018 in Eastern European Economics
Verified
Journal Article
Open access
GBGianni Betti
Gianni Betti
RBRuzhdie Bici
Ruzhdie Bici
LNLaura Neri
Laura Neri
TSThomas Sohnesen
Thomas Sohnesen
LTLedia Thomo
Ledia Thomo
This article presents the results of the latest poverty and inequality mapping update using the 2012 Living Standards Measurement Study (LSMS) survey and the 2011 census. This mapping builds on the methodology outlined by Chris Elbers and colleagues and further innovates by including new methodological developments. The results presented here allow better understanding of the regional inequalities in welfare across Albania, and thus can help policy makers address them. This is particularly needed because internal migration over the past decade led to large-scale urbanization in some areas and severe depopulation in others. Internal migration is multifaceted, but mostly flows toward Tirana.