Causal Ordering and Identifiability

By Herbert A. Simon. 1977

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Citations in the corpus

Toward Causal Representation Learning (2021, background): “An intellectual ancestor is Simon’s invariance criterion, that is, that the causal structure remains invariant across changing background conditions [235].”
Towards Causal Representation Learning (2021, neutral): “remains invariant across changing background conditions [235].”
Learning explanations that are hard to vary (2020, background): “This postulate has appeared in various forms in the literature [Haavelmo, 1943, Simon, 1953, Hurwicz, 1962, Pearl, 2009, Schölkopf et al., 2012].14 Based on this insight, it was proposed that regression based on causal features should presents desirable invariance and robustness properties [Mooij…”
Causal inference in statistics: An overview (2009, background): “A system of such functions are said to be structural if they are assumed to be autonomous, that is, each function is invariant to possible changes in the form of the other functions (Simon, 1953; Koopmans, 1953).”
An Extended Class of Instrumental Variables for the Estimation of Causal Effects (2011, background): “…of Economics, Department of Economics, Boston College, 140 Commonwealth Ave., Chestnut Hill, MA 02467 (email: chalak@bc.edu); and Halbert White is Chancellor s Associates Distinguished Professor of Economics, Department of Economics 0508, UCSD, La Jolla, CA 92093 (email:…”
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS (2012, methodology): “In fact, the three items in this example are taken from the 22-item SOP (Style of Processing) scale by Childers, Houston & Heckler (1985). We will return to this example in Chapter 7.”
Causality in Bayesian Belief Networks (1993, methodology): “In this paper, we propose that the meaning of causality provided by Simon (1953) within structural equations models is ex tendible to BBNs and can fill the existing niche.”
Statistics and causal inference: A review (2003, background): “…and a disease would be written as in Figure 1: The diagram encodes the possible existence of (direct) causal influence of X on Y , and the absence of causal influence of Y on X, while the equations encode the quantitative relationships among the variables involved, to be determined from the data.”
New institutional accounting and IFRS (2011, unknown): “Despite the critique by Lucas (1976), the careful application of SEM techniques shows promise to help researchers understand the determinants and patterns of multiple institutions across countries (e.g. Simon 1953, Pearl 2000).”
3. The Foundations of Causal Inference (2010, background): “Wright (1923) and early econometricians (Haavelmo 1943; Simon 1953; Marschak 1950; Koopmans 1953), Blalock (1964) and Duncan (1975) considered SEM a mathematical tool for drawing causal conclusions from a combination of observational data and theoretical assumptions.”
Causal inference (2011, methodology): “The treatment of causation proposed in this monograph is essentially a refinement of the approach of the Cowles economists, particularly Simon [34].”