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Instrumental Variable Estimation of Average Partial Causal Effects
Yuta Kawakami · manabu kuroki · Jin Tian

Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #537

Instrumental variable (IV) analysis is a powerful tool widely used to elucidate causal relationships. We study the problem of estimating the average partial causal effect (APCE) of a continuous treatment in an IV setting. Specifically, we develop new methods for estimating APCE based on a recent identification condition via an integral equation. We develop two families of methods, nonparametric and parametric - the former uses the Picard iteration to solve the integral equation; the latter parameterizes APCE using a linear basis function model. We analyze the statistical and computational properties of the proposed methods and illustrate them on synthetic and real data.

Author Information

Yuta Kawakami (Yokohama National University, Iowa State University)
manabu kuroki (Yokohama National University)
Jin Tian (Iowa State University)

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