bookJul 30, 2007Closed access

Counterfactuals and Causal Inference: Methods and Principles for Social Research

Johns Hopkins University · Harvard University Press

Abstract

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…

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Topics & keywords

Keywords
  • Causal inference
  • Econometrics
  • Causality (physics)
  • Causal model
  • Estimator
  • Counterfactual conditional
  • Instrumental variable
  • Outcome (game theory)
UN Sustainable Development Goals
  • Reduced inequalities
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