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- 石田 浩
- 東京大学
書誌事項
- タイトル別名
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- The Possibility of Causal Inference in Social Sciences
- カイチョウ コウエン シャカイ カガク ニ オケル インガ スイロン ノ カノウセイ
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抄録
This lecture attempts to discuss the possibility of causal inference in social sciences. There are four strategies for attempting to derive causal inferences from observational data: (1) cross-tabulation approach, (2) regression approach, (3) methods based on panel data, and (4) counter-factual framework. The lecture discusses these four approaches in detail.The lecture concludes with the discussion of the "heterogeneous causal effect" inherent in the society, the idea introduced by Otis Dudley Duncan, and the "causation as generative process" advanced by John H. Goldthorpe. I argue that these two ideas are complementary, and that the two great sociologists have highlighted important issues which must be confronted by social scientists in the course of causal inference using the observational data.
収録刊行物
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- 理論と方法
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理論と方法 27 (1), 1-18, 2012
数理社会学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390001205165116800
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- NII論文ID
- 130003367725
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- NII書誌ID
- AN10096921
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- ISSN
- 18816495
- 09131442
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- NDL書誌ID
- 023795277
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可