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Poster
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
in Poster Session 4 »

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.

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Author Information

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

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