Causal Relations via Econometrics

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