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Pairwise valid instruments
DOI:10.1016/j.jeconom.2025.106009.png)
Abstract
En 中文
Finding valid instruments is difficult. We propose Validity Set Instrumental Variable (VSIV) estimation, a method for estimating local average treatment effects (LATEs) in heterogeneous causal effect models when the instruments are partially invalid. We consider settings with pairwise valid instruments, that is, instruments that are valid for a subset of instrument value pairs. VSIV estimation exploits testable implications of instrument validity to remove invalid pairs and provides estimates of the LATEs for all remaining pairs, which can be aggregated into a single parameter of interest using researcher-specified weights. We show that the proposed VSIV estimators are asymptotically normal under weak conditions and remove or reduce the asymptotic bias relative to standard LATE estimators (that is, LATE estimators that do not use testable implications to remove invalid variation). We evaluate the finite sample properties of VSIV estimation in application-based simulations and apply our method to estimate the returns to college education using parental education as an instrument.
Keywords:
Invalid instruments
Local average treatment effects
Identification
Instrumental variable estimation
Asymptotic bias reduction
Journal
IF:
4
Papers:
5.2K
Citations:
3.0W
Organization
No organization information available
Cited Papers
The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variablest
AMERICAN ECONOMIC REVIEW
IF11.6
Instrumental variables estimates of the effect of subsidized training on the quantiles of trainee earnings
ECONOMETRICA
IF7.1

