The Identification of Structural Characteristics
Tjalling C. Koopmans,O. Reiersol +1 more
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This article is published in Annals of Mathematical Statistics.The article was published on 1950-06-01 and is currently open access. It has received 278 citations till now. The article focuses on the topics: Identification (biology).read more
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Counterfactuals and Causal Inference: Methods and Principles for Social Research
TL;DR: In this article, the authors proposed a method to estimate causal effects by conditioning on observed variables to block backdoor paths in observational social science research, but the method is limited to the case of causal exposure and identification criteria for conditioning estimators.
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Identification in parametric models
TL;DR: In this paper, it is shown under weak regularity conditions that local identifiability of the unknown parameter vector is equivalent to nonsingularity of the information matrix, which is a measure of the amount of information about the unknown parameters available in the sample.
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Structural Equation Models Empirical Identification, Heywood Cases, and Related Problems
TL;DR: In this paper, the concept of empirical underidentification is used to show how these problems can arise, and under what conditions they can be controlled, and examples showing how small factor loadings, factor correlations near zero, and factor correlation near one can lead to empirical under-identification.
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On dominance relations and the structure of animal societies: I. Effect of inherent characteristics
TL;DR: In this paper, the dominance probability of a peck-right in a flock of domestic hens is analyzed in the presence of social factors, such as the previous history of dominance, which are not included in the present treatment.
References
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On the Mathematical Foundations of Theoretical Statistics
TL;DR: In this paper, the authors define the center of location as the abscissa of a frequency curve for which the sampling errors of optimum location are uncorrelated with those of optimum scaling.
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The Method of Path Coefficients
TL;DR: The Method of Path Coefficients (MPC) as discussed by the authors is a flexible means of relating the correlation coefficients between variables in a multiple system to the functional relations among them, which has been applied in quite a variety of cases.
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The Vectors of Mind
TL;DR: In this paper, the authors describe a factor theory that is consistent with Spearman's factor theory, which turns out to be a special case of the present general factor theory and makes no restriction as to the number of factors that are involved in any particular problem.