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.
具體描述
讀後感
評分
評分
評分
評分
用戶評價
一個嚴重被低估的書
评分1.前麵幾章比較好 2.例子不豐富，感覺coleman的研究隻好一直被翻來覆去地用...
评分看這麼多文字的社會學的書還不太習慣，暫時就看瞭前兩章。
评分日常看看挺開心哈哈
评分1.前麵幾章比較好 2.例子不豐富，感覺coleman的研究隻好一直被翻來覆去地用...
相關圖書
本站所有內容均為互聯網搜索引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美書屋 版权所有