A review article by Kwon and Bessler provides a nice explanation and expostion of Pearl's DAG methods, not covered in my article below
An interesting article on a wrong causal inference -- Tough Girls Do Not Make Marriages Crumble
A.1
The American Statistical Association has announced
the 2014 winners of the "Causality in Statistics Education
Award." See
http://www.amstat.org/newsroom/pressreleases/2014-CausalityinStatEdAward.pdf
Congratulations go to the honorees, Maya Peterson and Laura B.
Balzer (UC Berkeley, biostatistics department), who will each
receive a $5000 and a plaque at the 2014 Joint Statistical
Meetings (JSM 2014) in Boston.
International Econometric Review Journal Website with article: [link]
ABSTRACT
Applied econometric work takes a superficial approach to causality.
Understanding economic affairs, making good policy decisions, and progress in
the economic discipline depend on our ability to infer causal relations from data.
We review the dominant approaches to causality in econometrics, and suggest
why they fail to give good results. We feel the problem cannot be solved by
traditional tools, and requires some out-of-the-box thinking. Potentially promising
approaches to solutions are discussed.
Key words: Causality, Regression, Exogeneity, Hendry methodology, Natural
experiments
JEL Classifications: C, C5, C59