[Statlist] Next talk: Friday, October 8, 2010 with Peter Hansen (Stanford University)
Cecilia Rey
rey at stat.math.ethz.ch
Mon Oct 4 12:05:57 CEST 2010
ETH and University of Zurich
Proff. L. Held - H.R. Kuensch - M. Maathuis - S. van de Geer
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We are glad to announce the following talk
*Friday, October 8, 2010, 15.15h ETH HG G 19.1 *
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with * Peter Hansen* (Stanford University)
Title:
*A Winner's Curse for Econometric Models: On the Joint Distribution of
In-Sample Fit and Out-of-Sample Fit and its Implications for Model
Selection*
Abstract:
We consider the case where a parameter, theta, is estimated by
maximizing a criterion function, Q(X;theta ). The estimate, thetaha t,
is then used to evaluate the criterion function with the same data, X,
as well as with an independent data set, Y. The in-sample fit and
out-of-sample fit relative to that of the true, or quasi-true,
parameter, theta*, are denoted by eta = Q(X; thetahat) - Q(X; theta*)
and etatilde = Q(Y; thetahat) - Q(Y; theta* ), respectively. We derive
the joint limit distribution of (eta, etatilde ) for a broad class of
criterion functions and the joint distribution reveals that eta and
etatilde are strongly negatively related. The implication is that good
in-sample fit translates into poor out-of-sample fit, one-to-one.
The result exposes a winner's curse problem when multiple models are
compared in terms of their in-sample fit. The winner's curse has
important implications for model selection by standard information
criteria such as AIC and BIC.
This abstract is also to be found under the following link:
http://stat.ethz.ch/talks/research_seminar
--
ETH Zürich
Seminar für Statistik
Cecilia Rey-Lutz, HG G10.3
Rämistrasse 101
CH-8092 Zurich
mail: rey at stat.math.ethz.ch
phone: +41 44 632 3438/fax: +41 44 632 1228
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