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Matt Blackwell (Gov)

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Martin Andersen (HealthPol)
Kevin Bartz (Stats)
Deirdre Bloome (Social Policy)
Andy Eggers (Gov)
John Graves (HealthPol)
Rich Nielsen (Gov)
Maya Sen (Gov)
Gary King (Gov)

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Alberto Abadie, Lee Fleming, Adam Glynn, Guido Imbens, Gary King, Arthur Spirling, Jamie Robins, Don Rubin, Chris Winship

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« Interest in computer science is volatile | Main | NYT article on measuring racial bias »

17 November 2008

Glynn on "Assessing the Empirical Evidence for Mechanism Specific Causal Effects"

Please join us Wednesday, November 19th, when Adam Glynn--Government Department--will present his research, "Assessing the Empirical Evidence for Mechanism Specific Causal Effects". Adam provided the following abstract:


Social scientists often cite the importance of mechanism specific causal
knowledge, both for its intrinsic scientific value and as a necessity for
informed policy. In this talk, I use counterfactual causal models to re-assess
the empirical evidence for two oft cited examples from American and comparative
politics: the voting habit effect that is not due to campaign attention and the
effect of oil production on the likelihood of civil war onset that is due to
the weakening of state capacity. Utilizing decompositions of direct and
indirect effects, I discuss a number of identification strategies, and
demonstrate through sensitivity and bounding analysis that the evidence for the
aforementioned examples is weaker than is typically understood.

The applied statistics workshop meets at 12 noon in room K-354, CGIS-Knafel (1737 Cambridge St) with a light lunch. Presentations start at 1215 pm and usually end around 130 pm. As always, all are welcome and please email me with any questions


Update: Adam provided this paper as background for his presentation

Posted by Justin Grimmer at November 17, 2008 7:13 PM