The following is a list of academic research papers in Causal Inference, sorted by topic and date.
- Potential Outcomes
- Dyrected Acyclic Graphs
- Experimental Methods
- Quasi-Experimental Methods
- Inference
Note for curators: differently from other sections, the aim of this list is not to be exhaustive but rather to cover most of the established research. Occasionally, I might include working papers if particularly relevant. If some areas are underrepresented (e.g. DAGs) is not by choice, but because of my background. Contributions are very welcome!
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Natural Experiments - Titiunik (2020)
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Causal Inference Using Potential Outcomes - Rubin (2005)
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Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies - Rubin (1974)
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A Crash Course in Good and Bad Controls - Cinelli, Forney, Pearl (2022)
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Causal Diagrams for Empirical Research - Pearl (1995)
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Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation - Mahajan, Mitliagkas, Neal, Syrgkanis (2022)
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Towards Optimal Doubly Robust Estimation of Heterogeneous Causal Effects - Kennedy (2022) [Video]
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Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence - Knaus, Lechner, Strittmatter (2021)
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Quasi-Oracle Estimation of Heterogeneous Treatment Effects - Nie, Wager (2020)
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Adapting Neural Networks for the Estimation of Treatment Effects - Shi, Blei, Veitch (2019)
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Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning - Künzel, Sekhon, Bickel, Yu (2017)
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Double/Debiased Machine Learning for Treatment and Structural Parameters - Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, Newey, Robins (2017) [Video]
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Estimation Considerations in Contextual Bandits - Dimakopoulou, Zhou, Athey, Imbens (2018)
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Causal Bandits: Learning Good Interventions via Causal Inference - Lattimore, Lattimore, Reid (2016)
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Asymptotically Efficient Adaptive Allocation Rules - Lai, Robbins (1985)
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Time-uniform, Nonparametric, Nonasymptotic Confidence Sequences Howard, Ramdas, McAuliffe, Sekhon - (2020)
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Discrete Sequential Boundaries for Clinical Trials - Lan, DeMets (1993)
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Optimum Character of the Sequential Probability Ratio Test - Wald, Wolfowitz (1948)
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Sequential Tests of Statistical Hypotheses - Wald (1945)
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Exact P-values for Network Interference - Athey, Eckles, Imbens (2018)
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Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment - Aronow, Samii (2018)
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Estimating Peer Effects in Networks with Peer Encouragement Designs - Eckles, Kizilcec, Bakshy (2016)
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On causal Inference in the Presence of Interference - Tchetgen Tchetgen, VanderWeele (2012)
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Toward Causal Inference With Interference - Hudgens, Halloran (2012)
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Identification of Endogenous Social Effects: The Reflection Problem - Manski (1996)
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Matching on the Estimated Propensity Score - Abadie, Imbens (2016)
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Genetic matching for estimating causal effects: A general multivariate matching method for achieving balance in observational studies - Diamond, Sekhon (2013)
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Large Sample Properties of Matching Estimators for Average Treatment Effects - Abadie, Imbens (2006)
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Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review - Imbens (2004)
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Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score - Hirano, Imbens, Ridder (2003)
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Matching As An Econometric Evaluation Estimator - Heckman, Ichimura, Todd (1998)
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Reducing Bias in Observational Studies Using Subclassification on the Propensity Score - Rosenbaum, Rubin (1984)
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The Central Role of the Propensity Score in Observational Studies for Causal Effects - Rosenbaum, Rubin (1983)
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What’s Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature - Roth, Sant'Anna, Bilinski, Poe (2023)
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Synthetic Difference In Differences Estimation - Clarke, Pailañir, Athey, Imbens (2023) [Video]
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Matrix Completion Methods for Causal Panel Data Models - Athey, Bayati, Doudchenko, Imbens, Khosravi (2022)
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Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects - Abadie (2021)
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Difference-in-Differences with Variation in Treatment Timing - Goodman-Bacon (2021)
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Difference-in-differences with Multiple Time Periods - Callaway, Sant'Anna (2021)
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Two-way Fixed Effects Estimators with Heterogeneous Treatment Effects - de Chaisemartin, D'Haultfœuille (2020)
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Panel Data Models With Interactive Fixed Effects - Bai (2009)
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Locally Robust Semiparametric Estimation - Chernozhukov, Escanciano, Ichimura, Newey, Robins (2022)
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Weak Instruments in Instrumental Variables Regression: Theory and Practice Andrews, Stock, Sun - (2019)
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Identification and Estimation of Local Average Treatment Effects - Angrist, Imbens (1994)
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Identification of Causal Effects Using Instrumental Variables - Angrist, Imbens, Rubin (1993)
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Efficient Instrumental Variables Estimation of Nonlinear Models - Newey (1990)
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The Nonlinear Two-stage Least-squares Estimator - Amemiya (1974)
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The Statistical Implications of a System of Simultaneous Equations - Haavelmo (1943)
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A Practical Introduction to Regression Discontinuity Designs: Extensions - Cattaneo, Idrobo, Titiunik - (2021)
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A Practical Introduction to Regression Discontinuity Designs: Foundations - Cattaneo, Idrobo, Titiunik - (2019)
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Inference in Regression Discontinuity Designs with a Discrete Running Variable - Kolesár, Rothe (2018)
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Optimized Regression Discontinuity Designs - Imbens, Wager (2018)
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Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design - Hahn, Todd, Van der Klaauw (2001)
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When Should You Adjust Standard Errors for Clustering? - Abadie, Athey, Imbens, Wooldridge (2023)
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Sampling-Based versus Design-Based Uncertainty in Regression Analysis - Abadie, Athey, Imbens, Wooldridge (2020)
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Robust Standard Errors in Small Samples: Some Practical Advice - Imbens, Kolesár (2016)
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Design and Analysis of Switchback Experiments - Bojinov, Simchi-Levi, Zhao (2022)
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Policy Learning with Observational Data - Athey, Wager (2020)
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Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies - Schuler, Rose (2017)
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Targeted Maximum Likelihood Learning - van der Laan, Rubin (2006)
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Identifiability and Exchangeability for Direct and Indirect Effects - Robins, Greenland (1993)