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We provide new results for nonparametric identification, estimation, and inference of causal effects using `proxy controls': observables that are noisy but informative proxies for unobserved confounding factors.
Estimating the Returns to Schooling: Some Econometric Problems
Griliches, Zvi. 1977 · 1977
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Estimating the Returns to Schooling: Some Econometric Problems
Griliches, Zvi. 1977 · 1977
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Specification tests in econometrics
Hausman, J. A. 1978 · 1978
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Specification tests in econometrics
Hausman, J. A. 1978 · 1978
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Conditional independence in statistical theory
Dawid, A. P. 1979 · 1979
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Conditional independence in statistical theory
Dawid, A. P. 1979 · 1979
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Panel Data and Unobservable Individual Effects
Hausman, Jerry A., & Taylor, William E. 1981 · 1981
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Panel Data and Unobservable Individual Effects
Hausman, Jerry A., & Taylor, William E. 1981 · 1981
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Estimating Vector Autoregressions with Panel Data
Holtz-Eakin, Douglas, Newey, Whitney, & Rosen, Harvey S. 1988 · 1988
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Estimating Vector Autoregressions with Panel Data
Holtz-Eakin, Douglas, Newey, Whitney, & Rosen, Harvey S. 1988 · 1988
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Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations
Arellano, Manuel, & Bond, Stephen. 1991 · 1991
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Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations
Arellano, Manuel, & Bond, Stephen. 1991 · 1991
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Constructive Approximation
DeVore, Ronald A., & Lorentz, George G. 1993 · 1993
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Constructive Approximation
DeVore, Ronald A., & Lorentz, George G. 1993 · 1993
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Linear Integral Equations
Kress, Rainer. 1999 · 1999
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Random Vectors in the Isotropic Position
Rudelson, M. 1999 · 1999
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Linear Integral Equations
Kress, Rainer. 1999 · 1999
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Random Vectors in the Isotropic Position
Rudelson, M. 1999 · 1999
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Meta-analysis of grade retention research: Implications for practice in the 21st century
Jimerson, Shane R. 2001 · 2001
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A User’s Guide to Measure Theoretic Probability
Pollard, David. 2001 · 2001
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Meta-analysis of grade retention research: Implications for practice in the 21st century
Jimerson, Shane R. 2001 · 2001
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A User’s Guide to Measure Theoretic Probability
Pollard, David. 2001 · 2001
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Efficient estimation of models with conditional moment restrictions containing unknown functions
Ai, Chunrong, & Chen, Xiaohong. 2003 · 2003
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Instrumental Variable Estimation of Nonparametric Models
Newey, Whitney K., & Powell, James L. 2003 · 2003
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Efficient estimation of models with conditional moment restrictions containing unknown functions
Ai, Chunrong, & Chen, Xiaohong. 2003 · 2003
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Instrumental Variable Estimation of Nonparametric Models
Newey, Whitney K., & Powell, James L. 2003 · 2003
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Nonparametric methods for inference in the presence of instrumental variables
Hall, Peter, & Horowitz, Joel L. 2005 · 2005
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Nonparametric methods for inference in the presence of instrumental variables
Hall, Peter, & Horowitz, Joel L. 2005 · 2005
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Semi-nonparametric IV estimation of shape-invariant Engel curves
Blundell, Richard, Chen, Xiaohong, & Kristensen, Dennis. 2007 · 2007
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Semi-nonparametric IV estimation of shape-invariant Engel curves
Blundell, Richard, Chen, Xiaohong, & Kristensen, Dennis. 2007 · 2007
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Instrumental Variable Treatment of Nonclassical Measurement Error Models
Hu, Yingyao, & Schennach, Susanne M. 2008 · 2008
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Engel Curves
Lewbel, Arthur. 2008 · 2008
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Instrumental Variable Treatment of Nonclassical Measurement Error Models
Hu, Yingyao, & Schennach, Susanne M. 2008 · 2008
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Engel Curves
Lewbel, Arthur. 2008 · 2008
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Identification and Estimation of a Nonparametric Panel Data Model with Unobserved Heterogeneity
Evdokimov, Kirill. 2009 · 2009
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A Method of Identifying Residual Confounding and Other Violations of Model Assumptions
Flanders, W. Dana, Klein, Mitch, Strickland, Matt, Darrow, Lyndsey, Sarnat, Stephanie, Sarnat, Jeremy, Waller, Lance, & Tolbert, Paige. 2009 · 2009
Cited alongside, same era.
Causality: Models, Reasoning, and Inference (Second Edition)
Pearl, Judea. 2009 · 2009
Cited alongside, same era.
Identification and Estimation of a Nonparametric Panel Data Model with Unobserved Heterogeneity
Evdokimov, Kirill. 2009 · 2009
Cited alongside, same era.
A Method of Identifying Residual Confounding and Other Violations of Model Assumptions
Flanders, W. Dana, Klein, Mitch, Strickland, Matt, Darrow, Lyndsey, Sarnat, Stephanie, Sarnat, Jeremy, Waller, Lance, & Tolbert, Paige. 2009 · 2009
Non-parametric panel data models with interactive fixed effects
Freyberger, Joachim. 2018 · 2018
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A Confounding Bridge Approach for Double Negative Control Inference on Causal Effects
Miao, Wang, Shi, Xu, & Tchetgen, Eric Tchetgen. 2018a (Aug.) · 2018
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Treatment Effect Estimation with Noisy Conditioning Variables
Nagasawa, Kenichi. 2018 · 2018
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Non-parametric panel data models with interactive fixed effects
Freyberger, Joachim. 2018 · 2018
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A Confounding Bridge Approach for Double Negative Control Inference on Causal Effects
Miao, Wang, Shi, Xu, & Tchetgen, Eric Tchetgen. 2018a (Aug.) · 2018
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Treatment Effect Estimation with Noisy Conditioning Variables
Nagasawa, Kenichi. 2018 · 2018
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Cited alongside, same era.
Causality: Models, Reasoning, and Inference (Second Edition)
Pearl, Judea. 2009 · 2009
Cited alongside, same era.
Nonparametric Instrumental Regression
Darolles, Serge, Fan, Yanqin, Florens, Jean-Pierre, & Renault, Eric. 2011 · 2011
Cited alongside, same era.
Nonparametric Instrumental Regression
Darolles, Serge, Fan, Yanqin, Florens, Jean-Pierre, & Renault, Eric. 2011 · 2011
Cited alongside, same era.
Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Generalized Residuals
Chen, Xiaohong, & Pouzo, Demian. 2012 · 2012
Cited alongside, same era.
Nonparametric identification of dynamic models with unobserved state variables
Hu, Yingyao, & Shum, Matthew. 2012 · 2012
Cited alongside, same era.
Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors
Severini, Thomas A., & Tripathi, Gautam. 2012 · 2012
Cited alongside, same era.
Semiparametric proximal causal inference
Cui, Yifan, Pu, Hongming, Shi, Xu, Miao, Wang, & Tchetgen, Eric Tchetgen. 2020 (Nov.) · 2020
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Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
Singh, Rahul. 2020 · 2020
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An Introduction to Proximal Causal Learning
Tchetgen, Eric J. Tchetgen, Ying, Andrew, Cui, Yifan, Shi, Xu, & Miao, Wang. 2020 (Sept.) · 2020
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Semiparametric proximal causal inference
Cui, Yifan, Pu, Hongming, Shi, Xu, Miao, Wang, & Tchetgen, Eric Tchetgen. 2020 (Nov.) · 2020
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Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
Singh, Rahul. 2020 · 2020
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An Introduction to Proximal Causal Learning
Tchetgen, Eric J. Tchetgen, Ying, Andrew, Cui, Yifan, Shi, Xu, & Miao, Wang. 2020 (Sept.) · 2020
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Many Proxy Controls
Deaner, Ben. 2021 · 2021
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Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
Ghassami, AmirEmad, Ying, Andrew, Shpitser, Ilya, & Tchetgen, Eric Tchetgen. 2021 · 2021
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Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Kallus, Nathan, Mao, Xiaojie, & Uehara, Masatoshi. 2021 · 2021
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Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
Mastouri, Afsaneh, Zhu, Yuchen, Gultchin, Limor, Korba, Anna, Silva, Ricardo, Kusner, Matt J., Gretton, Arthur, & Muandet, Krikamol. 2021 · 2021
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Proximal Causal Inference for Complex Longitudinal Studies
Ying, Andrew, Miao, Wang, Shi, Xu, & Tchetgen, Eric J. Tchetgen. 2021 · 2021
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Many Proxy Controls
Deaner, Ben. 2021 · 2021
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Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
Ghassami, AmirEmad, Ying, Andrew, Shpitser, Ilya, & Tchetgen, Eric Tchetgen. 2021 · 2021
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Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Kallus, Nathan, Mao, Xiaojie, & Uehara, Masatoshi. 2021 · 2021
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Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
Mastouri, Afsaneh, Zhu, Yuchen, Gultchin, Limor, Korba, Anna, Silva, Ricardo, Kusner, Matt J., Gretton, Arthur, & Muandet, Krikamol. 2021 · 2021
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Proximal Causal Inference for Complex Longitudinal Studies
Ying, Andrew, Miao, Wang, Shi, Xu, & Tchetgen, Eric J. Tchetgen. 2021 · 2021
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Inference on Strongly Identified Functionals of Weakly Identified Functions
Bennett, Andrew, Kallus, Nathan, Mao, Xiaojie, Newey, Whitney, Syrgkanis, Vasilis, & Uehara, Masatoshi. 2022 · 2022
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Locally Robust Semiparametric Estimation
Chernozhukov, Victor, Escanciano, Juan Carlos, Ichimura, Hidehiko, Newey, Whitney K., & Robins, James M. 2022 · 2022
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Controlling for Latent Confounding with Triple Proxies
Deaner, Ben. 2022 · 2022
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Doubly Robust Proximal Synthetic Controls
Qiu, Hongxiang, Shi, Xu, Miao, Wang, Dobriban, Edgar, & Tchetgen, Eric Tchetgen. 2022 · 2022
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Inference on Strongly Identified Functionals of Weakly Identified Functions
Bennett, Andrew, Kallus, Nathan, Mao, Xiaojie, Newey, Whitney, Syrgkanis, Vasilis, & Uehara, Masatoshi. 2022 · 2022
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Locally Robust Semiparametric Estimation
Chernozhukov, Victor, Escanciano, Juan Carlos, Ichimura, Hidehiko, Newey, Whitney K., & Robins, James M. 2022 · 2022
Closest in time.
Controlling for Latent Confounding with Triple Proxies
Deaner, Ben. 2022 · 2022
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Doubly Robust Proximal Synthetic Controls
Qiu, Hongxiang, Shi, Xu, Miao, Wang, Dobriban, Edgar, & Tchetgen, Eric Tchetgen. 2022 · 2022
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Proximal mediation analysis
Dukes, Oliver, Shpitser, Ilya, & Tchetgen, Eric J. Tchetgen. 2023 · 2023
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Proximal mediation analysis
Dukes, Oliver, Shpitser, Ilya, & Tchetgen, Eric J. Tchetgen. 2023 · 2023
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