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AVVISO DI SEMINARIO
A V V I S O di S E M I N A R I O
Nell’ambito del dottorato di ricerca in Statistica Economica, il
PROF. DONALD B. RUBIN
John L. Loeb Professor of Statistics, Università di Harvard
terrà un seminario dal titolo:
CAUSAL INFERENCE THROUGH POTENTIAL OUTCOMES: APPLICATION TO QUALITY OF
LIFE STUDIES WITH "CENSORING" DUE TO DEATH AND TO STUDIES OF THE EFFECT
OF JOB-TRAINING PROGRAMS ON WAGES
Il seminario avrà luogo:
LUNEDÌ 14 FEBBRAIO 2005
ALLE ORE 11.00 IN AULA GINI
PIANO TERRA DELLA FACOLTÀ DI SCIENZE STATISTICHE,
UNIVERSITÀ DI ROMA “LA SAPIENZA”
ABSTRACT
Causal inference is best understood using potential outcomes, which
include all post treatment quantities. The use of potential outcomes to
define causal effects is particularly important in more complex
settings, i.e., observational studies or randomized experiments with
complications such as noncompliance. Here we deal with the issue of
estimating the casual effect of a treatment on a primary outcome that is
"censored" by an intermediate outcome, for example, the effect of a drug
treatment on Quality of Life (QOL) in a randomized experiment where some
of the patients die before their QOL can be assessed. Because both QOL
and death are post-randomization quantities, they both should be
considered potential outcomes, and the effect of treatment versus
control on QOL is only well-defined for the subset of patients who would
live under either treatment or control. Another application is to an
educational program designed to increase final test scores, which are
not defined for those who drop out of school before taking the test. A
further application is to studies of the effect of job-training programs
on wages, where wages are only defined for those who are employed, and
thus the effect of the job-training program on wages is only
well-defined for the subset of individuals who would be employed whether
or not they were trained. Some empirical results are presented from
Zhang, Rubin and Mealli (2004), which indicate that this framework can
lead to new insights because the analysis is not predicated on
traditional econometric assumptions.
--
--------------------------------
Dr. M. Grazia Pittau
DIP. Contabilità Nazionale e APS
Università di Roma "La Sapienza"
BOX 83 ROMA 62
P.le Aldo Moro, 5
00185 ROMA
ITALY
tel ++39 06 49910654
fax ++39 06 4453246
URL http://w3.uniroma1.it/dcnaps/pittau/
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