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Instrumental Variable (IV) Selection for Estimating Total Effects in Conditional IV Method
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- KUROKI Manabu
- Graduate School of Engineering Science, Osaka University
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- MIYAKAWA Masami
- Department of Industrial Engineering and Management, Tokyo Institute of Technology
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- KAWATA Ryouhei
- Graduate School of Economics, Kyoto University
Bibliographic Information
- Other Title
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- 条件付き操作変数法の推定精度と操作変数の選択
- オボエガキ ジョウケン ツキ ソウサ ヘンスウホウ ノ スイテイ セイド ト ソウサ ヘンスウ ノ センタク
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Description
Suppose that causal relationships among variables can be described by a causal diagram and the corresponding linear structural equation model. In order to identify total effects, Brito and Pearl (2002) have suggested the conditional instrumental variable method, which is provided as a generalization of the instrumental variable method. However, the selection of conditional instrumental variable given a set of covariates is not unique. In this paper, when a total effect can be estimated through the conditional instrumental variable method, we formulate the asymptotic variance of the total effect. In addition, when there are some conditional instrumental variables given a set of covariates, the difference between them is investigated based on the formulation.
Journal
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- Ouyou toukeigaku
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Ouyou toukeigaku 32 (2), 89-100, 2003
Japanese Society of Applied Statistics
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Details 詳細情報について
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- CRID
- 1390001204441646208
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- NII Article ID
- 10011938365
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- NII Book ID
- AN00330942
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- ISSN
- 18838081
- 02850370
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- NDL BIB ID
- 6805243
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed