Instrument-residual estimator for multi-valued instruments under full monotonicity

Research output: Journal PublicationArticlepeer-review

Abstract

In determining the effects of a binary treatment D on an outcome Y, a multi-valued instrumental variable (IV) Z=0,1,…,J often appears. Imbens and Angrist (1994, Econometrica) showed that the IV estimator (IVE) of Y on D using Z as an IV is consistent for a non-negatively weighted average of heterogeneous “complier” effects. However, Imbens and Angrist did not include covariates X. This paper generalizes their finding by explicitly allowing X to appear in the linear model for the IVE, and shows that the extra condition E(Z|X)=L(Z|X) is necessary for generalization, where L(Z|X)≡E(ZX){E(XX)}−1X is the linear projection. This paper therefore proposes an alternative IVE using Z−E(Z|X) as an IV, which is consistent for the same estimand without the restrictive extra condition. A simulation study demonstrates that the extra condition E(Z|X)=L(Z|X) is necessary for the usual IVE, but not for the alternative IVE proposed in this paper.

Original languageEnglish
Article number110187
JournalStatistics and Probability Letters
Volume213
DOIs
Publication statusPublished - Oct 2024

Keywords

  • Complier
  • Heterogeneous effect
  • Instrumental variable estimator
  • Monotonicity
  • Multi-valued instrument
  • Overlap weight

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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