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Counterfactuals and Causal Inference : Methods and Principles for Social Research. 反事実的条件文と因果推論－社会調査のための方法と原理
・ISBN 978-0-521-85615-7 hard US$ 109.99
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・ISBN 978-0-521-67193-4 paper US$ 34.99
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-0-511-80456-4
| 著者・編者 | Morgan, Stephen L. / Winship, C., |
|---|---|
| シリーズ | Analytical Methods for Social Research |
| 出版社 | (Cambridge U. Pr., UK) |
| 出版年月 | 2007 |
| ページ数 | 319 pp. |
| 言語 | ENG |
| ニュース番号 | ＜542-1369 542-22＞ |
解説
Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use of the butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? If so, was the number of miscast votes sufficiently large to have altered the election outcome? At their core, these types of questions are simple cause-and-effect questions. Simple cause-and-effect questions are the motivation for much empirical work in the social sciences. This book presents a model and set of methods for causal effect estimation that social scientists can use to address causal questions such as these. The essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political science, and economics.