Fetching the paper…
Reading the bibliography…
In this paper, we study nonparametric estimation of instrumental variable (IV) regressions.
Identification and estimation of local average treatment effects
Angrist, J. and G. Imbens (1995) · 1995
Earlier work this paper cites.
Regularization of inverse problems
Engl, H. W., M. Hanke, and A. Neubauer (1996) · 1996
Earlier work this paper cites.
Efficient estimation of models with conditional moment restrictions containing unknown functions
Ai, C. and X. Chen (2003) · 2003
Earlier work this paper cites.
Instrumental variable estimation of nonparametric models
Newey, W. K. and J. L. Powell (2003) · 2003
Earlier work this paper cites.
On deep instrumental variables estimate
Liu, R., Z. Shang, and G. Cheng (2020) · 2004
Earlier work this paper cites.
Inference with weak instruments
Andrews, D. and J. H. Stock (2005) · 2005
Earlier work this paper cites.
Nonparametric methods for inference in the presence of instrumental variables
Hall, P. and J. L. Horowitz (2005) · 2005
Earlier work this paper cites.
Semi-nonparametric iv estimation of shape-invariant engel curves
Blundell, R., X. Chen, and D. Kristensen (2007) · 2007
Earlier work this paper cites.
Linear inverse problems in structural econometrics estimation based on spectral decomposition and regularization
Carrasco, M., J.-P. Florens, and E. Renault (2007) · 2007
Earlier work this paper cites.
Large sample sieve estimation of semi-nonparametric models
Chen, X. (2007) · 2007
Earlier work this paper cites.
Asymptotic normality of a nonparametric instrumental variables estimator
Horowitz, J. L. (2007) · 2007
Earlier work this paper cites.
Learning deep features in instrumental variable regression
Xu, L., Y. Chen, S. Srinivasan, N. de Freitas, A. Doucet, and A. Gretton (2020) · 2010
Earlier work this paper cites.
Maximum moment restriction for instrumental variable regression
Zhang, R., M. Imaizumi, B. Schölkopf, and K. Muandet (2020) · 2010
Earlier work this paper cites.
Inverse problems in statistics
Cavalier, L. (2011) · 2011
Earlier work this paper cites.
On rate optimality for ill-posed inverse problems in econometrics
Chen, X. and M. Reiss (2011) · 2011
Earlier work this paper cites.
Semiparametric proximal causal inference
Cui, Y., H. Pu, X. Shi, W. Miao, and E. T. Tchetgen (2020) · 2011
Earlier work this paper cites.
Nonparametric instrumental regression
Darolles, S., Y. Fan, J.-P. Florens, and E. Renault (2011) · 2011
Earlier work this paper cites.
Identification and estimation by penalization in nonparametric instrumental regression
Florens, J.-P., J. Johannes, and S. Van Bellegem (2011) · 2011
Earlier work this paper cites.
Applied nonparametric instrumental variables estimation
Horowitz, J. L. (2011) · 2011
Earlier work this paper cites.
Instrumental variable methods for recovering continuous linear functionals
Santos, A. (2011) · 2011
Cited alongside, same era.
Estimation of nonparametric conditional moment models with possibly nonsmooth generalized residuals
Chen, X. and D. Pouzo (2012) · 2012
Cited alongside, same era.
Nonparametric instrumental variables estimation
Newey, W. K. (2013) · 2013
Cited alongside, same era.
Local identification of nonparametric and semiparametric models
Chen, X., V. Chernozhukov, S. Lee, and W. K. Newey (2014) · 2014
Cited alongside, same era.
Inverse problems: Tikhonov theory and algorithms
Ito, K. and B. Jin (2014) · 2014
Cited alongside, same era.
An instrumental variable approach for identification and estimation with nonignorable nonresponse
Wang, S., J. Shao, and J. K. Kim (2014) · 2014
Information-theoretic considerations in batch reinforcement learning
Chen, J. and N. Jiang (2019) · 2019
Later among the works it cites.
Kernel instrumental variable regression
Singh, R., M. Sahani, and A. Gretton (2019) · 2019
Later among the works it cites.
High-dimensional statistics: A non-asymptotic viewpoint
Wainwright, M. J. (2019) · 2019
Later among the works it cites.
Minimax estimation of conditional moment models
Dikkala, N., G. Lewis, L. Mackey, and V. Syrgkanis (2020) · 2020
Later among the works it cites.
Nonparametric euler equation identification and estimation
Escanciano, J. C., S. Hoderlein, A. Lewbel, O. Linton, and S. Srisuma (2020) · 2020
Later among the works it cites.
Provably efficient neural estimation of structural equation models: An adversarial approach
Liao, L., Y.-L. Chen, Z. Yang, B. Dai, M. Kolar, and Z. Wang (2020) · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Miao, W., L. Liu, E. T. Tchetgen, and Z. Geng (2015) · 2015
Cited alongside, same era.
Examples of l2-complete and boundedly-complete distributions
Andrews, D. W. (2017) · 2017
Cited alongside, same era.
Is completeness necessary? estimation in nonidentified linear models
Babii, A. and J.-P. Florens (2017) · 2017
Cited alongside, same era.
Instrumental variable quantile regression
Chernozhukov, V., C. Hansen, and K. Wüthrich (2017) · 2017
Cited alongside, same era.
Nonparametric stochastic discount factor decomposition
Christensen, T. M. (2017) · 2017
Cited alongside, same era.
Daskalakis, C., A. Ilyas, V. Syrgkanis, and H. Zeng (2017) · 2017
Cited alongside, same era.
Later among the works it cites.
Dual instrumental variable regression
Muandet, K., A. Mehrjou, S. K. Lee, and A. Raj (2020) · 2020
Later among the works it cites.
Minimax weight and q-function learning for off-policy evaluation
Uehara, M., J. Huang, and N. Jiang (2020) · 2020
Later among the works it cites.
Robust and optimal estimation for partially linear instrumental variables models with partial identification
Chen, Q. (2021) · 2021
Later among the works it cites.
Offline reinforcement learning: Fundamental barriers for value function approximation
Foster, D. J., A. Krishnamurthy, D. Simchi-Levi, and Y. Xu (2021) · 2021
Later among the works it cites.
Causal inference under unmeasured confounding with negative controls: A minimax learning approach
Kallus, N., X. Mao, and M. Uehara (2021) · 2021
Later among the works it cites.
Linear iv regression estimators for structural dynamic discrete choice models
Kalouptsidi, M., P. T. Scott, and E. Souza-Rodrigues (2021) · 2021
Later among the works it cites.
Learning causal models from conditional moment restrictions by importance weighting
Kato, M., M. Imaizumi, K. McAlinn, S. Yasui, and H. Kakehi (2021) · 2021
Later among the works it cites.
Instrumental variable value iteration for causal offline reinforcement learning
Liao, L., Z. Fu, Z. Yang, Y. Wang, M. Kolar, and Z. Wang (2021) · 2021
Later among the works it cites.
Lu, Y., H. Chen, J. Lu, L. Ying, and J. Blanchet (2021) · 2021
Later among the works it cites.
Uehara, M., M. Imaizumi, N. Jiang, N. Kallus, W. Sun, and T. Xie (2021) · 2021
Later among the works it cites.
Inference on strongly identified functionals of weakly identified functions
Bennett, A., N. Kallus, X. Mao, W. Newey, V. Syrgkanis, and M. Uehara (2022) · 2022
Later among the works it cites.
Beyond the return: Off-policy function estimation under user-specified error-measuring distributions
Huang, A. and N. Jiang (2022) · 2022
Later among the works it cites.