TITLE:
Causal Relations via Econometrics
JOURNAL:
International Econometric Review (IER)
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.
REFERENCE:
“Causal Relations via Econometrics,” International Econometrics Review, vol 2, no. 1, 2010.
Zaman, Asad,"Causal Relations via Econometrics", International Econometric Review (IER)
Review of Causality is a very nice exposition of Pearl;s DAG -- Directed Acyclic Graphs for Causality
Graphical Methods, Inductive Causal Inference,
and Econometrics: A Literature Review
Dae-Heum Kwon · David A. Bessler
Comput Econ (2011) 38:85–106
DOI 10.1007/s10614-010-9236-9