Ben Deaner
Personal Details
First Name: | Ben |
Middle Name: | |
Last Name: | Deaner |
Suffix: | |
RePEc Short-ID: | pde1222 |
| |
http://www.bendeaner.com | |
Affiliation
Economics Department
Massachusetts Institute of Technology (MIT)
Cambridge, Massachusetts (United States)http://econ-www.mit.edu/
RePEc:edi:edmitus (more details at EDIRC)
Research output
Jump to: Working papersWorking papers
- Ben Deaner, 2021. "Many Proxy Controls," Papers 2110.03973, arXiv.org.
- Ben Deaner, 2020. "Approximation-Robust Inference in Dynamic Discrete Choice," Papers 2010.11482, arXiv.org.
- Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
- Ben Deaner, 2018. "Proxy Controls and Panel Data," Papers 1810.00283, arXiv.org, revised Nov 2023.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Ben Deaner, 2018.
"Proxy Controls and Panel Data,"
Papers
1810.00283, arXiv.org, revised Nov 2023.
Cited by:
- Ziyu Wang & Yucen Luo & Yueru Li & Jun Zhu & Bernhard Scholkopf, 2022. "Spectral Representation Learning for Conditional Moment Models," Papers 2210.16525, arXiv.org, revised Dec 2022.
- Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
- Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
- Ben Deaner, 2022. "Controlling for Latent Confounding with Triple Proxies," Papers 2204.13815, arXiv.org, revised May 2023.
- AmirEmad Ghassami & Andrew Ying & Ilya Shpitser & Eric Tchetgen Tchetgen, 2021. "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference," Papers 2104.02929, arXiv.org, revised Mar 2022.
- Ben Deaner, 2021. "Many Proxy Controls," Papers 2110.03973, arXiv.org.
- Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.
- Rahul Singh, 2020. "Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments," Papers 2012.10315, arXiv.org, revised Mar 2023.
- Zhang, Jeffrey & Li, Wei & Miao, Wang & Tchetgen Tchetgen, Eric, 2023. "Proximal causal inference without uniqueness assumptions," Statistics & Probability Letters, Elsevier, vol. 198(C).
More information
Research fields, statistics, top rankings, if available.Statistics
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (4) 2018-10-15 2019-01-14 2020-11-09 2021-10-18. Author is listed
- NEP-ORE: Operations Research (1) 2021-10-18. Author is listed
Corrections
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