Instrumental Variables: An Econometrician's Perspective

1. 2022Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Surveycited by 19
2. 2022Instrumental Variables in Causal Inference and Machine Learning: A Surveycited by 10
3. 2023Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairscited by 9
4. 2021Causal Effect Variational Autoencoder with Uniform Treatmentcited by 8
5. 2023Conditional Instrumental Variable Regression with Representation Learning for Causal Inferencecited by 8
6. 2022Discovering Ancestral Instrumental Variables for Causal Inference from Observational Datacited by 7
7. 2022Ancestral Instrument Method for Causal Inference without Complete Knowledgecited by 6
8. 2023Structural restrictions in local causal discovery: identifying direct causes of a target variablecited by 5
9. 2023Adaptive Instrument Design for Indirect Experimentscited by 5
10. 2025ExMAG: Learning of Maximally Ancestral Graphscited by 1
11. 2025Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspectivecited by 1
12. 2024Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Datacited by 0

1. 2026Iterative Identification Closure: Amplifying Causal Identifiability in Linear SEMs10 Apr 2026
2. 2025Large-Scale Bayesian Causal Discovery with Interventional Data2 Oct 2025
3. 2025Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models26 Jun 2025
4. 2025Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective30 May 2025
5. 2025ExMAG: Learning of Maximally Ancestral Graphs11 Mar 2025
6. 2024Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data26 Nov 2024
7. 2023Adaptive Instrument Design for Indirect Experiments5 Dec 2023
8. 2023Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs25 Oct 2023
9. 2023Conditional Instrumental Variable Regression with Representation Learning for Causal Inference3 Oct 2023
10. 2023Structural restrictions in local causal discovery: identifying direct causes of a target variable29 Jul 2023
11. 2022Instrumental Variables in Causal Inference and Machine Learning: A Survey12 Dec 2022
12. 2022Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey20 Aug 2022

1. 2025Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspectivecited by 1

1. 2025Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective30 May 2025

1. 2022Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Surveycited by 19
2. 2022Instrumental Variables in Causal Inference and Machine Learning: A Surveycited by 10
3. 2023Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairscited by 9
4. 2021Causal Effect Variational Autoencoder with Uniform Treatmentcited by 8
5. 2023Conditional Instrumental Variable Regression with Representation Learning for Causal Inferencecited by 8
6. 2022Discovering Ancestral Instrumental Variables for Causal Inference from Observational Datacited by 7
7. 2022Ancestral Instrument Method for Causal Inference without Complete Knowledgecited by 6
8. 2023Structural restrictions in local causal discovery: identifying direct causes of a target variablecited by 5
9. 2023Adaptive Instrument Design for Indirect Experimentscited by 5
10. 2025ExMAG: Learning of Maximally Ancestral Graphscited by 1
11. 2024Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Datacited by 0
12. 2025Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Modelscited by 0

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1. 2026Iterative Identification Closure: Amplifying Causal Identifiability in Linear SEMs10 Apr 2026
2. 2025Large-Scale Bayesian Causal Discovery with Interventional Data2 Oct 2025
3. 2025Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models26 Jun 2025
4. 2025ExMAG: Learning of Maximally Ancestral Graphs11 Mar 2025
5. 2024Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data26 Nov 2024
6. 2023Adaptive Instrument Design for Indirect Experiments5 Dec 2023
7. 2023Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs25 Oct 2023
8. 2023Conditional Instrumental Variable Regression with Representation Learning for Causal Inference3 Oct 2023
9. 2023Structural restrictions in local causal discovery: identifying direct causes of a target variable29 Jul 2023
10. 2022Instrumental Variables in Causal Inference and Machine Learning: A Survey12 Dec 2022
11. 2022Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey20 Aug 2022
12. 2022Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data4 Jun 2022

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