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 i...

Buy Now From Amazon

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.

  • Used Book in Good Condition
  • Used Book in Good Condition

Similar Products

Mostly Harmless Econometrics: An Empiricist's CompanionMastering ’Metrics: The Path from Cause to EffectCausal Inference for Statistics, Social, and Biomedical Sciences: An IntroductionCausal Inference in Statistics: A PrimerDesigning Social Inquiry: Scientific Inference in Qualitative ResearchCausality: Models, Reasoning and InferenceField Experiments: Design, Analysis, and InterpretationThe Politics of Resentment: Rural Consciousness in Wisconsin and the Rise of Scott Walker (Chicago Studies in American Politics)