Avviso di seminario

["Emanuele Taufer" <emanuele.taufer@economia.unitn.it>]

Avviso di seminario

On specifying Graphical Models for Causation, and the 
Identification Problem

David A. Freedman
Statistics Department
University of California at Berkeley

Giovedì 8 maggio, ore 15.00 e Venderdì 9 maggio, ore 15.00 
Sala Riunioni Disa
Facoltà di Economia
Università di Trento
Via Inama 5, 38100 Trento

Abstract

In these talks (which are mainly expository), I will set up graphical 
models for causation, having a bit less than the usual complement 
of hypothetical counterfactuals. Assuming the invariance of error 
distributions maybe essential for causal inference, but the errors 
themselves need not be invariant. Graphs can be interpreted using 
conditional distributions, so that we can better address 
connections between the mathematical framework and causality in 
the world. The identification problem is posed in terms of 
conditionals. As will be seen, causal relationships cannot be 
inferred from a data set by running regressions unless there is 
substantial prior knowledge about the mechanism that generated 
the data. The idea can be made more precise in several ways. The 
paper is availabe on the web, at
http://www.stat.berkeley.edu/~census/601.pdf


Referente: Prof. Klaus Haagen

Per informazioni: 0461 882368