Regression modelQuasi-experimental / causal inference

Heterogeneous Treatment Effect Instrumental Variables (HTE-IV)

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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Sources

  1. Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI: 10.2307/2951620
  2. Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355

Related methods

ScholarGateHeterogeneous treatment effect Instrumental variables (Instrumental Variables Estimation with Heterogeneous Treatment Effects). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/heterogeneous-treatment-effect-instrumental-variables