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CAUSALITY: MODELS, REASONING, AND INFERENCE, by Judea Pearl, Cambridge University Press, 2000

Published online by Cambridge University Press:  06 June 2003

Leland Gerson Neuberg
Affiliation:
Boston University

Extract

This book seeks to integrate research on cause and effect inference from cognitive science, econometrics, epidemiology, philosophy, and statistics. It puts forward the work of its author, his collaborators, and others over the past two decades as a new account of cause and effect inference that can aid practical researchers in many fields, including econometrics. Pearl adheres to several propositions on cause and effect inference. Though cause and effect relations are fundamentally deterministic (he explicitly excludes quantum mechanical phenomena from his concept of cause and effect), cause and effect analysis involves probability language. Probability language helps to convey uncertainty about cause and effect relations but is insufficient to fully express those relations. In addition to conditional probabilities of events, cause and effect analysis requires graphs or diagrams and a language that distinguishes intervention or manipulation from observation. Cause and effect analysis also requires counterfactual reasoning and causal assumptions in addition to observations and statistical assumptions.

Type
BOOK REVIEWS
Copyright
© 2003 Cambridge University Press

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References

Eells, E. (1991) Probabilistic Causality. New York: Cambridge University Press.
Goldberger, A.S. (1992) Models of substance. Brazilian Journal of Probability and Statistics 6, 4648.Google Scholar
Mill, J.S. (1973) A System of Logic: Ratiocinative and Inductive, Collected Works of John Stuart Mill, vol. VII. Toronto: University of Toronto Press.
Morgan, M. (1992) The History of Econometric Ideas. New York: Cambridge University Press.
Rubin, D.B. (1980) Randomization analysis of experimental data: The Fisher randomization test comment. Journal of the American Statistical Association 75, 591593.Google Scholar
Wermuth, N. (1992) On block-recursive regression equations. Brazilian Journal of Probability and Statistics 6, 156.Google Scholar
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CAUSALITY: MODELS, REASONING, AND INFERENCE, by Judea Pearl, Cambridge University Press, 2000
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CAUSALITY: MODELS, REASONING, AND INFERENCE, by Judea Pearl, Cambridge University Press, 2000
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CAUSALITY: MODELS, REASONING, AND INFERENCE, by Judea Pearl, Cambridge University Press, 2000
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