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Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear
  IV Models
v1v2v3 (latest)

Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models

12 November 2020
Jiafeng Chen
Daniel L. Chen
Greg Lewis
    CML
ArXiv (abs)PDFHTML

Papers citing "Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models"

5 / 5 papers shown
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
Connor Lennon
Edward Rubin
Glen Waddell
256
1
0
19 May 2025
Instrumental variables: A non-asymptotic viewpoint
Instrumental variables: A non-asymptotic viewpoint
Eric Xia
Martin J. Wainwright
Whitney Newey
206
2
0
02 Oct 2024
Fast Instrument Learning with Faster Rates
Fast Instrument Learning with Faster RatesNeural Information Processing Systems (NeurIPS), 2022
Ziyu Wang
Yuhao Zhou
Chao Ding
422
5
0
22 May 2022
Improving Inference from Simple Instruments through Compliance
  Estimation
Improving Inference from Simple Instruments through Compliance Estimation
S. Coussens
Jann Spiess
CML
137
17
0
08 Aug 2021
Learning Causal Models from Conditional Moment Restrictions by
  Importance Weighting
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
Masahiro Kato
Masaaki Imaizumi
K. McAlinn
Haruo Kakehi
Shota Yasui
CML
288
7
0
03 Aug 2021
1
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