Abstract

http://ssrn.com/abstract=2338705.
 


 



Regression and Causation: A Critical Examination of Six Econometrics Textbooks


Bryant Chen


University of California, Los Angeles (UCLA)

Judea Pearl


UCLA, 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

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Date posted: October 11, 2013  

Suggested Citation

Chen, Bryant and Pearl, Judea, Regression and Causation: A Critical Examination of Six Econometrics Textbooks (September 10, 2013). Real-World Economics Review, Issue No. 65, 2-20, 2013 . Available at SSRN: http://ssrn.com/abstract=2338705.

Contact Information

Bryant Chen
University of California, Los Angeles (UCLA) ( email )
405 Hilgard Avenue
Box 951361
Los Angeles, CA 90095
United States
Judea Pearl (Contact Author)
UCLA, Computer Science Department ( email )
4532 Boelter Hall
Los Angeles, CA 90095-1596
United States
HOME PAGE: http://www.cs.ucla.edu/~judea/
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