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rivista italiana di economia demografia e statistica - Sieds

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70<br />

Volume LXIII nn. 3-4 – Luglio-Dicembre 2009<br />

provenienti dal modello, ai fini <strong>di</strong> eventuali interventi <strong>di</strong> politica economica,<br />

appaiono piuttosto ragionevoli: i Paesi con effetto Quantità negativo dovrebbero<br />

incrementare la spesa sociale e i trasferimenti alle famiglie. Relativamente<br />

all’effetto Distribuzione, seppur residuale, emerge invece che nei Paesi dove è<br />

maggiore la platea dei beneficiari <strong>di</strong> trasferimenti governativi c’è maggiore<br />

probabilità <strong>di</strong> uscita.<br />

Riferimenti bibliografici<br />

Anderson D.A. e Aitkin M. 1985. Variance component models with binary response:<br />

interviewer variability. Journal of Royal Statistical Society Series B, vol. 47, pp 203-210.<br />

Gelman A. e Hill J. 2007. Data Analysis Using Regression and Multilevel/Hierarchical<br />

Models. Cambridge University Press.<br />

Goldstein H. 1995. Multilevel Statistical Models. Edward Arnold, London.<br />

Hox J.J. 1995. Applied multilevel analysis. TT-Publikaties, Amsterdam.<br />

Joe H. 2008. Accuracy of Laplace approximation for <strong>di</strong>screte response mixed models.<br />

Computational Statistics & Data Analysis, vol. 52 (issue 12), pp 5066-5074. Elsevier<br />

Science Publishers B. V., Amsterdam, The Netherlands.<br />

R Development Core Team. 2005. R: A language and environment for <strong>statistica</strong>l<br />

computing. R Foundation for Statistical Computing, Vienna, Austria.<br />

Snijders T. e Bosker R. 1999. An Introduction to Basic and Advanced Multilevel Modeling.<br />

Sage, London.<br />

SUMMARY<br />

This paper analyses the impact of some European countries’ policies in terms of<br />

monetary social transfers on the reduction of poverty risk in households with<br />

minors. Using micro data collected in Eu-silc 2006 (European Statistics on Income<br />

and Living Con<strong>di</strong>tions), we employ a two-level logistic regression model.<br />

It turns out an overall country effect, which could be splitted into two partitions:<br />

one due to <strong>di</strong>fferent policies relative to quantitative aspects (Quantity), the other to<br />

<strong>di</strong>stributive ones (Distribution). European countries with a greater positive effect<br />

on the exit from the poverty risk after transfers are the Nor<strong>di</strong>c and the Western<br />

ones; Me<strong>di</strong>terranean and Baltic ones have the opposite effect. Moreover, the<br />

Quantity effect is larger than the Distribution one.<br />

Generally speaking, the model stresses out that countries with a negative<br />

Quantity effect should increase social expen<strong>di</strong>ture and transfers to households;<br />

concerning the Distribution effect, although residual, in countries with the highest<br />

beneficiaries’ shares of social transfers there is a higher probability of exit.<br />

Andrea CUTILLO, ISTAT, Con<strong>di</strong>zioni e Qualità della Vita.<br />

Daniela LO CASTRO, ISTAT, Con<strong>di</strong>zioni Economiche delle Famiglie.<br />

Isabella SICILIANI, ISTAT,Con<strong>di</strong>zioni Economiche delle Famiglie.

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