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Heterogeneous treatment effect Instrumental variables/Evidence
Method evidence record

Heterogeneous treatment effect Instrumental variables

Heterogeneous treatment effect IV applies instrumental variables estimation while explicitly acknowledging and modelling that the treatment effect differs across units. Rather than recovering a single average effect, it focuses on the Local Average Treatment Effect (LATE) — the causal effect for compliers, the subpopulation whose treatment status is actually shifted by the instrument — and extends analysis to variation in that effect across observed subgroups.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Instrumental Variables Estimation with Heterogeneous Treatment Effects
Taxonomic method record · regression-model / causal-inference
  • Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. · DOI 10.2307/2951620
  • Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. · ISBN 978-0691120355
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Related methods

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Same method family2SLS Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketHeterogeneous Treatment Effect Propensity Score Matchingmachine-suggested · Relational suggestion, not evidence.See alsoInstrumental Variables in Health Researchmachine-suggested · Relational suggestion, not evidence.Same method familyLocal Average Treatment Effectmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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