CHIARA
GIGLIARANO

Position: Postdoctoral Fellow in Statistics
Università Politecnica delle Marche - Department of Economics
Piazzale Martelli 8, 60121 Ancona (Italy)
e-mail: c.gigliarano@univpm.it
Tel:
Fax:
+39 071 2207102
CV: in Italian; in
English
Education
Ph.D. in Statistics,
Laurea in Economics and Social Sciences,
Research
interests
Income distribution, multidimensional measurement of
inequality, poverty and polarization, survival analysis
Publications
Constructing
indices of multivariate polarization (joint with Karl Mosler). Journal of Economic Inequality (2009)
Vol. 7, pp. 435‐460 (Full Paper as .PDF)
The Gini concentration test for survival data (joint
with M. Bonetti and P. Muliere). Lifetime Data Analysis (2009)
Vol. 15, pp. 493‐518
The Impact of inflation on
heterogeneous groups of households: an application to Italy (joint with F. Chelli and E. Mattioli), , Economics Bulletin, Vol. 29 no.2 pp. 1297-1316
Heterogeneity in household consumptions: the case of region
Marche (joint with F. Chelli and E. Mattioli), Rivista
Italiana di Economia, Demografia e Statistica, LXII n. 2-4
aprile-dicembre 2008 pp. 327-334.
Proceedings
The
Gini concentration index in survival analysis (2008) (with M.
Bonetti and P. Muliere) Atti della XLIV Riunione
Scientifica della SIS, pp 101 ‐ 108
Working
Papers
Measuring
middle-class decline in one and many attributes (joint with K. Mosler), Quaderno di Ricerca n.
333 Dipartimento di Economia, Università Politecnica delle
Marche, November 2009. Available http://193.205.135.133/dea/quaderni/pdf/333.pdf
Public health transfers in kind: measuring the
distributional effects in
Preprints
The distributional impact of
imputed rent in
Home
production and fringe benefits: an estimation of their distributional impact in
Nuovi metodi per determinare la soglia di povertà,
sottoposto a rivista scientifica nazionale.
Teaching Material
Statistica
– Corso di Laurea in Servizio Sociale a.y. 2008/2009
Business Statistics
- Corso di Laurea Magistrale in International Economics and Business a.y.
2009/2010
ü
Cluster Analysis (updated)
ü
Empirical application of Factor
Analysis and Cluster Analysis
Detailed
Description of Assessment Methods:
1.
80% of the final mark: a written
general exam or two partial written exams (one in the middle and one at the end
of the course)
2.
20% of the final mark: a practical
analysis of a real data set.
Last updated: 12 January 2010