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Regression and Causation: A Critical Examination of Six Econometrics TextbooksBryant ChenUniversity of California, Los Angeles (UCLA) Judea PearlUCLA, Computer Science Department September 10, 2013 Real-World Economics Review, Issue No. 65, 2-20, 2013 Abstract: This report surveys six influential econometric textbooks in terms of their mathematical treatment of causal concepts. It highlights conceptual and notational differences among the authors and points to areas where they deviate significantly from modern standards of causal analysis. We find that econometric textbooks vary from complete denial to partial acceptance of the causal content of econometric equations and, uniformly, fail to provide coherent mathematical notation that distinguishes causal from statistical concepts. This survey also provides a panoramic view of the state of causal thinking in econometric education which, to the best of our knowledge, has not been surveyed before.
Number of Pages in PDF File: 25 JEL Classification: C10, C18 Accepted Paper SeriesDate posted: October 11, 2013Suggested CitationContact Information
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