UID:
almafu_9959242704302883
Format:
1 online resource (xiii, 319 pages) :
,
digital, PDF file(s).
ISBN:
1-107-17695-6
,
1-139-23492-7
,
1-281-08619-3
,
9786611086190
,
0-511-80456-3
,
0-511-34829-0
,
0-511-35102-X
,
0-511-34926-2
,
0-511-56859-2
,
0-511-35012-0
Series Statement:
Analytical methods for social research
Content:
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.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
pt. 1. Counterfactual causality and empirical research in the social sciences -- pt. 2. Estimating causal effects by conditioning -- pt. 3. Estimating causal effects when simple conditioning is ineffective -- pt. 4. Conclusions.
,
English
Additional Edition:
ISBN 0-521-67193-0
Additional Edition:
ISBN 0-521-85615-9
Language:
English
Subjects:
Economics
Keywords:
Electronic books
URL:
https://doi.org/10.1017/CBO9780511804564
