RIEB Discussion Paper Series No.2020-06
RIEB Discussion Paper Series No.2020-06
Title
Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments
Abstract
This paper considers the case where instrumental variable (IV) are available to infer the e¤ect of interested variable to the outcome (or the causal e¤ect), but some components of IV are missing with the missing mechanism of not missing at random (NMAR). Although NMAR requires the analysis to prespecify the missing mechanism, it is unknown for us and what is worse, it is generally not identi ed. We use the IV distribution of original population as an auxiliary information, and show that missing mechanism can be represented as identi able nonparametric generalized additive model. We also introduce MCMC algorithm that impute the missing values and simultaneously estimate parameters of interested.
Keywords
Instrumental variable; Missing not at random; Auxiliary information
Inquiries
Ryo KATOResearch Institute for Economics and Business Administration
Kobe University
Rokkodai-cho, Nada-ku, Kobe
657-8501 Japan
Phone: +81-78-803-7036
FAX: +81-78-803-7059
Takahiro HOSHINO
Department of Economics, Keio University
RIKEN Center for Advanced Intelligence Project