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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

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Authors: Stephen L. Morgan, Christopher Winship
Publisher: Cambridge University Press
Category: Book

List Price: $28.99
Buy Used: $19.95
You Save: $9.04 (31%)



New (17) Used (8) from $19.95


Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 328
Shipping Weight (lbs): 1
Dimensions (in): 8.9 x 6.1 x 0.8

ISBN: 0521671930
Dewey Decimal Number: 300.72
EAN: 9780521671934
ASIN: 0521671930

Publication Date: July 30, 2007
Availability: Usually ships in 1-2 business days
Condition: Never Been Used

Similar Items:

  • Data Analysis Using Regression and Multilevel/Hierarchical Models
  • Matched Sampling for Causal Effects
  • Identification for Prediction and Decision
  • Causality: Models, Reasoning, and Inference
  • Explaining Social Behavior: More Nuts and Bolts for the Social Sciences

Editorial Reviews:

Product Description
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 a butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? Simple cause-and-effect questions such as these are the motivation for much empirical work in the social sciences. In this book, the counterfactual model of causality for observational data analysis is presented, and methods for causal effect estimation are demonstrated using examples from sociology, political science, and economics.

Book Description
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 a butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? Simple cause-and-effect questions such as these are the motivation for much empirical work in the social sciences. In this book, the counterfactual model of causality for observational data analysis is presented, and methods for causal effect estimation are demonstrated using examples from sociology, political science, and economics.

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