Maria Grazia Pittau
Sapienza Universita' di Roma
Research

My main interests are Income distribution, inequality,
poverty, and polarization;
Nonparametric estimation and Mixture Models;
Missing Data and Multilevel Models.
Me and my favorite coauthor Roberto!

Technical Reports
Maria Grazia Pittau, Roberto
Zelli and Paul A. Johnson, ''Mixture Models and
Convergence Clubs". Paper available at: http://ideas.repec.org/p/vas/papers/91.html
Andrew Gelman, Aleks Jakulin, Maria Grazia
Pittau and Yu-Sung Su "A
default prior distribution for logistic and other regression models". Paper available at:
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1010421#PaperDownload
Selected Papers
Riccardo Massari, Maria Grazia
Pittau and Roberto Zelli, (2008), ''A dwindling middle class? Italian evidence
in the 2000's", forthcoming
on The Journal of Economic Inequality.
Maria Grazia Pittau and
Roberto Zelli, (2007), ''Exploring patterns of income polarization
using siZer'', Journal of Quantitative Economics, 5, 101--111.
Maria Grazia Pittau and N. T. Longford (2006),
"Stability of household income in European countries in the 1990",
Computational Statistics & Data Analysis, 51, 1364--1383.
P.L. Conti, Maria Grazia Pittau and R. Zelli
(2006), "Metodi non parametrici nell'analisi della distribuzione del
reddito: problemi empirici ed aspetti metodologici'' (in italian with
english summary), Rivista di Politica Economica.
Maria Grazia Pittau and Roberto Zelli (2006),
"Trends in Income Distribution in Italy: A Non-Parametric and a
Semi-Parametric Analysis", Journal of Income distribution, 15, 90--118.
Maria Grazia Pittau and Roberto Zelli (2006),
"Empirical Evidence of Income Dynamics Across EU Regions", Journal of
Applied Econometrics, 21, 605--628.
Maria Grazia Pittau and Roberto Zelli (2005),
"Fitting Regional Income Distributions in the European Union", 2005,
Oxford Bulletin of Economics and Statistics, 67, 2.
Maria Grazia Pittau and Roberto Zelli (2004),
"Testing for the changes in the shape of income distribution: Italian
evidence in the 1990s from kernel density estimates, Empirical
Economics, 29, 2.
Research Software
Arm: Data Analysis Using Regression and
Multilevel/Hierarchical Models
(written in collaboration with A. Gelman, YS Su, G. Hill, J. Kerman and
T. Zheng).
Functions in R for processing linear and generalized models.
www.cran.r-project.or/src/contrib/Descriptions/arm.html
Read the following book for more details:
www.stat.columbia.edu~gelman/arm/
