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Causal effect estimation relies on separating the variation in the outcome into parts due to the treatment and due to the confounders.
Deep generalized method of moments for instrumental variable analysis
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Angrist, J. D. and Krueger, A. B. (2001) · 2001
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Propensity score-matching methods for nonexperimental causal studies
Dehejia, R. H. and Wahba, S. (2002) · 2002
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Identification in nonseparable models
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Agakov, F. V. and Barber, D. (2004) · 2004
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Causation and causal inference in epidemiology
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Identification and estimation of triangular simultaneous equations models without additivity
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Estimating causal effects in observational studies using electronic health data: challenges and (some) solutions
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Markov chain monte carlo and variational inference: Bridging the gap
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Causal inference in statistics: An overview
Pearl, J. et al. (2009) · 2009
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Estimating the technology of cognitive and noncognitive skill formation
Cunha, F., Heckman, J. J., and Schennach, S. M. (2010) · 2010
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Causal inference and observational research: The utility of twins
McGue, M., Osler, M., and Christensen, K. (2010) · 2010
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statsmodels: Econometric and statistical modeling with python
Seabold, S. and Perktold, J. (2010) · 2010
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Nonparametric instrumental regression
Darolles, S., Fan, Y., Florens, J.-P., and Renault, E. (2011) · 2011
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Doubly robust estimation of causal effects
Funk, M. J., Westreich, D., Wiesen, C., Stürmer, T., Brookhart, M. A., and Davidian, M. (2011) · 2011
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Bayesian nonparametric instrumental variables regression based on penalized splines and dirichlet process mixtures
Wiesenfarth, M., Hisgen, C. M., Kneib, T., and Cadarso-Suarez, C. (2014) · 2014
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Control function methods in applied econometrics
Wooldridge, J. M. (2015) · 2015
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Control function instrumental variable estimation of nonlinear causal effect models
Guo, Z. and Small, D. S. (2016) · 2016
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Auxiliary deep generative models
Maaløe, L., Sønderby, C. K., Sønderby, S. K., and Winther, O. (2016) · 2016
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Hierarchical variational models
Ranganath, R., Tran, D., and Blei, D. (2016) · 2016
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Nonparametric instrumental variable estimation under monotonicity
Chetverikov, D. and Wilhelm, D. (2017) · 2017
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Deep iv: A flexible approach for counterfactual prediction
Hartford, J., Lewis, G., Leyton-Brown, K., and Taddy, M. (2017) · 2017
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Estimating individual treatment effect: generalization bounds and algorithms
Shalit, U., Johansson, F. D., and Sontag, D. (2017) · 2017
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Multiple causal inference with latent confounding
Ranganath, R. and Perotte, A. (2018) · 2018
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Estimation and inference of heterogeneous treatment effects using random forests
Wager, S. and Athey, S. (2018) · 2018
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