TETRAD and SEM

Multivariate Behavioral Research

Volumn 33, Issue 1, 1998, Pages 119-128

  Pearl, Judea ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0032370488     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15327906mbr3301_4     Document Type: Article

References (23)

1. Aldrich, J. (1989). Autonomy. Oxford Economic Papers. 41, 15-34.
2. Arntzenius, F. (1990). Physics and common causes. Synthese. 82, 77-96.
3. Balke, A. & Pearl, J. (1995). Counterfactuals and policy analysis in structural models. In P. Besnard & S. Hanks (Editors), Uncertainty in artificial intelligence, 11 (pp. 11-18). San Francisco: Morgan Kaufmann.
4. Bollen, K. A. (1989). Structural equations with latent variables. New York: John Wiley and Sons.
5. Bullock, H. E., Harlow, L.L. & Mulaik, S.A. (1994). Causation issues in structural equation modeling research. Structural Equation Modeling, 1(3), 253-267.
6. Cartwright, N. (1995). Probabilities and experiments. Journal of Econometrics,67, 47-59.
7. Freedman, D. (1987). As others see us: A case study in path analysis (with discussion). Journal of Educational Statistics, 12, 101-223.
8. Freedman, D. (1997). From association to causation via regression. In V. R. McKim & S. P. Turner (Editors), Causality in crisis? (pp. 113-161). Notre Dame, IN: University of Notre Dame Press.
9. Galles, D. & Pearl, J. (1997). Axioms of causal relevance. Artificial Intelligence, 97(1-2), 9-43.
10. Gibbare, A. & Harper, L. (1981). Counterfactuals and two kinds of expected utility. In W.L. Harper, R. Stalnaker & G. Pearce (Editors), Ifs (pp. 153-190). Dordrecht: D. Reidel.
11. Haavelmo, T. (1943). The statistical implications of a system of simultaneous equations. Econometrica, 11, 1-12.
12. Holland, P. W. (1995). Some reflections on Freedman's critiques. Foundations of Science, 1(1), 50-57.
13. LeRoy, S. F. (1995). Causal orderings. In K.D. Hoover (Ed.), Macroeconometrics: Developments, tensions, prospects (pp. 211-228). Boston/Dordrecht/London: Kluwer Academic Publishers.
14. McDonald, R. P. (1997). Haldane's lungs: A case study in path analysis. Multivariate Behavioral Research, 32, 1-38.
15. Pearl, J. (1988). Probabilistic reasoning in intelligence systems. San Mateo, CA: Morgan Kaufmann.
16. Pearl, J. (1995). Causal diagrams for experimental research. Biometrika, 82(4), 669-710.
17. Pearl, J. (in press). Graphs, causality, and structural equation models. Sociological Methods and Research.
18. Pearl, J. & Verma, T. (1991). A theory of inferred causation. In J.A. Allen, R. Fikes & E. Sandewall (Editors), Principles of knowledge representation and reasoning: Proceeding of the Second International Conference (pp. 441-452). San Mateo, CA: Morgan Kaufmann.
19. Sobel, M. E. (1990). Effect analysis and causation in linear structural equation models. Psychometrika, 55(3), 495-515.
20. Sprites, P., Glymour, C. & Schienes, R. (1993). Causation, prediction, and search. New York: Springer-Verlag.
21. Strotz, R. H. & Wold, H. O. A. (1960). Causal models in the social sciences. Econometrica, 28, 417-427.
22. Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20, 557-585.
23. Wright, S. (1923). The theory of path coefficients: A reply to Niles' criticism. Genetics, 8, 239-255.