Instrumentality Tests Revisited
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Abstract (arXiv)
An instrument is a random variable thatallows the identification of parameters inlinear models when the error terms arenot uncorrelated.It is a popular method used in economicsand the social sciences that reduces theproblem of identification to the problemof finding the appropriate instruments.Few years ago, Pearl introduced a necessarytest for instruments that allows the researcher to discard those candidatesthat fail the test.In this paper, we make a detailed study of Pearl's test and the general model forinstruments. The results of this studyinclude a novel interpretation of Pearl'stest, a general theory of instrumentaltests, and an affirmative answer to aprevious conjecture. We also presentnew instrumentality tests for the casesof discrete and continuous variables.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jan 2013.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 0; 2024: 2; 2025: 1; 2026: 1.
8 papers.
- 2021An Automated Approach to Causal Inference in Discrete Settingscited by 39
- 2022The d-separation criterion in Categorical Probabilitycited by 12
- 2022Partial Identification with Noisy Covariates: A Robust Optimization Approachcited by 10
- 2024The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learningcited by 8
- 2024Consistency of Neural Causal Partial Identificationcited by 3
- 2021Causal inference with imperfect instrumental variablescited by 0
- 2025Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypothesescited by 0
- 2026Uncertainty-aware Causal Decision Making via Effect Bound Decompositioncited by 0
- 2026Uncertainty-aware Causal Decision Making via Effect Bound Decomposition30 Jan 2026
- 2025Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses14 Feb 2025
- 2024The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning12 Oct 2024
- 2024Consistency of Neural Causal Partial Identification24 May 2024
- 2022The d-separation criterion in Categorical Probability12 Jul 2022
- 2022Partial Identification with Noisy Covariates: A Robust Optimization Approach22 Feb 2022
- 2021Causal inference with imperfect instrumental variables4 Nov 2021
- 2021An Automated Approach to Causal Inference in Discrete Settings28 Sep 2021