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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.

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Counterfactuals and Causal Inference 2024 pdf epub mobi 電子書下載

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Counterfactuals and Causal Inference 2024 pdf epub mobi 電子書下載

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出版者:Cambridge University Press

作者:Stephen L. Morgan

出品人:

頁數:328

譯者:

出版時間:2007-7-30

價格:USD 31.00

裝幀:Paperback

isbn號碼:9780521671934

叢書系列:

圖書標籤: Methodology 方法論因果 inference 定量反事實 causal 社會學

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The authors have done an excellent job in introducing RCM. Feel like that it's explanation of the RCM methodology is clearer than those in Mostly Harmless. But its explanations of econometrics are quite superficial. For in depth technical discussions, see Mostly Harmless. NOTE: The authors have revised, expanded, and published a 2nd edition.

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