A new identification condition for recursive models with correlated errors

Structural Equation Modeling

Volumn 9, Issue 4, 2002, Pages 459-474

  Brito, Carlos ^a   Pearl, Judea ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012257695     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/S15328007SEM0904_1     Document Type: Article

References (20)

1. Bekker, P. A., Merckens, A., & Wansbeek, T. J. (1994). Identification, equivalent models, and computer algebra. Boston: Academic.
2. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
3. Bowden, R. J., & Turkington, D. A. (1984). Instrumental variables. Cambridge, England: Cambridge University Press.
4. Duncan, O. D. (1975). Introduction to structural equation models. New York: Academic.
5. Fisher, F. M. (1966). The identification problem in econometrics. New York: McGraw-Hill.
6. Geraci, V. (1983). Errors in variables and the individual structure model. International Economic Review, 24(1), 217.
7. Jöreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294-316). Newbury Park, CA: Sage.
8. Kang, K. M., & Seneta, E. (1980). Path analysis: An exposition. In P. R. Krishnaiah (Ed.), Developments in statistics (Vol. 3, pp. 217-246). New York: Academic.
9. Kenny, D. A., Kashy, D. A., & Bolger N. (1998). Data analysis in social psychology. In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4th ed., Vol. 1, pp. 233-265). Boston: McGraw-Hill.
10. Kenny, D. A. (1979). Correlation and causality. New York: Wiley.
11. McDonald, R. P. (1997). Haldane's lungs: A case study in path analysis. Multivariate Behavioral Research, 32, 1-38.
12. Okamoto, M. (1973). Distinctness of the eigenvalues of a quadratic form in a multivariate sample. Annals of Statistics, 1, 763-765.
13. Pearl, J. (1986). Fusion, propagation, and structuring in belief networks. Artificial Intelligence, 29, 241-288.
14. Pearl, J. (1998). Graphs, causality, and structural equation models. Sociological Methods and Research, 27, 226-284.
15. Pearl, J. (2000a). Causality: Models, reasoning, and inference. NewYork: Cambridge University Press.
16. Pearl, J. (2000b, August). Parameter identification: A new perspective (Tech. Rep. No. R-276). Los Angeles: University of California, Los Angeles.
17. Rigdon, E. E. (1995). A necessary and sufficient identification rule for structural models estimated in practice. Multivariate Behavioral Research, 30, 359-383.
18. Spirtes, P., Richardson, T., Meek, C., Scheines, R., & Glymour, C. (1998). Using path diagrams as a structural equation modelling tool. Sociological Methods and Research, 27, 182-225.
19. Verma, T., & Pearl, J. (1988). Causal networks: Semantics and expressiveness. In R. D. Shachter, T. S. Levitt, L. N. Kanal, & J. F. Lemmer (Eds.), Proceedings of the 4th workshop on uncertainty in artificial intelligence (pp. 352-359). Mountain View, CA: Elsevier.
20. Wright, S. (1960). Path coefficients and path regressions: Alternative or complementary concepts? Biometrics, 16, 189-202.