An Extended Class of Instrumental Variables for the Estimation of Causal Effects
By Karim Chalak, Halbert White. 2011
87 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e6eef4240a991235c28c3f7a41116bfdc8402983
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Judea Pearl
- Andrés Santos
- Xun Lu
- Halbert White
- Karim Chalak
- Alberto Abadie
- M. D. Cattaneo
- Elias Bareinboim
In Education
- Judea Pearl
- Andrés Santos
- Xun Lu
- Halbert White
- Karim Chalak
- Alberto Abadie
- M. D. Cattaneo
- Susanne M. Schennach
In Statistics and Probability
- Halbert White
- M. D. Cattaneo
- Judea Pearl
- Karim Chalak
- Andrés Santos
- Xun Lu
- Alberto Abadie
- Guido W. Imbens
Citations in the corpus
- Interpretation and identification of causal mediation. (2014, unknown): “Application of the front-door estimator to problems in economics and social science was described in Chalak and White (2011) and in Knight and Winship (2013). The asymptotic efficiency of the front-door estimator (see Equation 20) was analyzed in Ramsahai (2012). Figure 7 demonstrates the use of a m”
- Robustness checks and robustness tests in applied economics (2014, background): “See Chalak and White (2011) for regularity conditions in this context.”
- Local indirect least squares and average marginal effects in nonseparable structural systems (2012, background): “As Chalak and White (2011) ( CW ) discuss, this poses no problem for structural inference in linear structures.”
- TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS (2014, unknown): “It is for these reasons that graphical representations have become an indispensable second language in the health sciences (Glymour and Greenland, 2008; Vansteelandt and Lange, 2012) and are making their way towards the social and behavioral sciences (Chalak and White, 2011; Lee, 2012; Morgan and Wi”
- 3. The Foundations of Causal Inference (2010, methodology): “In this example, the variable W3 acts as a “mediating instrumental variable” (Pearl 1993b; Chalak and White 2006; Morgan and Winship 2007). The analysis used in the derivation and validation of such results invokes mathematical rules of transforming causal quantities, represented by expressions such”
- Causal inference in statistics: An overview (2009, background): “In this example, the variable W3 acts as a “mediating instrumental variable” (Pearl, 1993b; Chalak and White, 2006).”
- The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011, background): “…making its way slowly toward the social and behavioral sciences, (e.g., Morgan and Winship (2007); Imai et al. (2010a); Elwert and Winship (2010); Chalak and White (2011)), despite islands of resistance (Wilkinson et al., 1999, p. 600; Sobel, 2008; Rubin, 2010; Imbens, 2010). exists for which…”
- Instrumental variable methods for recovering continuous linear functionals (2011, methodology): “The estimator developed in this paper is therefore based on a sample analogue to (4) given by n−1 ∑ i yiθ̂0(zi), where θ̂0(z) is a nonparametric estimator for θ0(z).”
- Econometric Methods for Program Evaluation (2018, background): “Chalak and White (2011) provide a detailed account of identification procedures via instrumental variables.”
- Granger Causality and Dynamic Structural Systems (2010, methodology): “We follow WC and Chalak and White (2007c) in using the notation c= to emphasize that the structural equations (3) represent asymmetric causal links (Goldberger, 1972, p.979), in which manipulations of elements of yt; dt; vt; zt result in potentially di¤ering values for yt+1, as in Strotz and Wold…”
- Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning (2009, background): “To resolve such inconsistencies, one may use the fact that under suitable assumptions, causal relations imply empirically testable conditional independence relations among system variables (Pearl, 2000; Chalak and White, 2008b).”