Fetching the paper…
Reading the bibliography…
Given a causal graph, the do-calculus can express treatment effects as functionals of the observational joint distribution that can be estimated empirically.
The method of path coefficients
Sewall Wright · 1934
Earlier work this paper cites.
The identification of structural characteristics
Tjalling C Koopmans and Olav Reiersøl · 1950
Earlier work this paper cites.
The estimation of economic relationships using instrumental variables
John D Sargan · 1958
Earlier work this paper cites.
Large sample properties of generalized method of moments estimators
Lars Peter Hansen · 1982
Earlier work this paper cites.
Causal diagrams for empirical research
Judea Pearl · 1995
Earlier work this paper cites.
Selection of post-treatment variables for estimating total effect from empirical research
Manabu Kuroki · 2000
Earlier work this paper cites.
Chapter 8: The Wishart Distribution , volume Volume 53 of Lecture Notes–Monograph Series , pages 302–333
Morris L. Eaton · 2007
Earlier work this paper cites.
Bayesian graphical models for regression on multiple data sets with different variables
CH Jackson, NG Best, and Sylvia Richardson · 2009
Earlier work this paper cites.
Causality
Judea Pearl · 2009
Earlier work this paper cites.
The foundations of causal inference
Judea Pearl · 2010
Earlier work this paper cites.
Bayesian nonparametric modeling for causal inference
Jennifer L Hill · 2011
Earlier work this paper cites.
Supplementary variables for causal estimation
Roland R Ramsahai · 2012
Cited alongside, same era.
Practical methods of optimization
Roger Fletcher · 2013
Cited alongside, same era.
Friends in high places
Lauren Cohen and Christopher J Malloy · 2014
Cited alongside, same era.
A complete generalized adjustment criterion
Emilija Perković, Johannes Textor, Markus Kalisch, and Marloes H Maathuis · 2015
Cited alongside, same era.
Causal inference and the data-fusion problem
Elias Bareinboim and Judea Pearl · 2016
Cited alongside, same era.
Misinformed speculators and mispricing in the housing market
Alex Chinco and Christopher Mayer · 2016
Cited alongside, same era.
Non-parametrics for causal inference
The book of why: the new science of cause and effect
Judea Pearl and Dana Mackenzie · 2018
Later among the works it cites.
Causal inference and data-fusion in econometrics
Elias Bareinboim et al · 2019
Later among the works it cites.
The paper of how: Estimating treatment effects using the front-door criterion
Marc F Bellemare and Jeffrey R Bloem · 2019
Later among the works it cites.
Replication Data for: Front-Door Versus Back-Door Adjustment With Unmeasured Confounding: Bias Formulas for Front-Door and Hybrid Adjustments With Application to a Job Training Program, 2019
Adam N. Glynn and Konstantin Kashin · 2019
Later among the works it cites.
Graphical criteria for efficient total effect estimation via adjustment in causal linear models
Leonard Henckel, Emilija Perković, and Marloes H Maathuis · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
V. Dorie · 2016
Cited alongside, same era.
Front-door difference-in-differences estimators
Adam N Glynn and Konstantin Kashin · 2017
Cited alongside, same era.
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit, Fredrik D Johansson, and David Sontag · 2017
Cited alongside, same era.
Overidentification in regular models
Xiaohong Chen and Andres Santos · 2018
Cited alongside, same era.
Front-door versus back-door adjustment with unmeasured confounding: Bias formulas for front-door and hybrid adjustments with application to a job training program
Adam N Glynn and Konstantin Kashin · 2018
Cited alongside, same era.
Potential outcome and directed acyclic graph approaches to causality: Relevance for empirical practice in economics
Guido Imbens · 2019
Later among the works it cites.
Andrea Rotnitzky and Ezequiel Smucler · 2019
Later among the works it cites.
Adapting neural networks for the estimation of treatment effects
Claudia Shi, David Blei, and Victor Veitch · 2019
Later among the works it cites.
Gaussian graphical models: An algebraic and geometric perspective
C Uhler · 2019
Later among the works it cites.
Robust inference on population indirect causal effects: the generalized front door criterion
Isabel R Fulcher, Ilya Shpitser, Stella Marealle, and Eric J Tchetgen Tchetgen · 2020
Closest in time.
The variance of causal effect estimators for binary v-structures
Jack Kuipers and Giusi Moffa · 2020
Closest in time.