Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning

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An Extended Class of Instrumental Variables for the Estimation of Causal Effects (2011, methodology): “In related work (White and Chalak, 2009a; Schennach, White, and Chalak, 2009; Song, Schennach, and White, 2009), we analyze nonparametric identi cation and estimation of e¤ects for certain nonseparable versions of the cases discussed here.”
EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013, background): “…Pearl, & Robins 1999; Petersen 2011) and is slowly making its way into the social sciences (Morgan and Winship 2007; Muthén 2011; Elwert; Knight and Winship; Breen and Karlson, this volume), econometrics (White and Chalak 2009), and the behavioral sciences (Shadish and Sullivan 2012; Lee 2012).”
Bayesian networks and boundedly rational expectations (2016, background): “…models have been introduced into economics in other contexts: as a way of representing games and facilitating computation of Nash equilibrium (see Kearns, Littman and Singh (2001) and Koller and Milch (2003)), or as a way of discussing causality in econometric models (see White and Chalak (2009)).”
Effective connectivity: Influence, causality and biophysical modeling (2011, unknown): “White has created a general formalism for Dynamical Structural Systems (White and Lu, 2010) based on the concept of settable systems (White and Chalak, 2009), which supports model optimization, equilibrium and learning.”