Bibliograph

Counterfactuals and causal inference, methods and principles for social research, Stephen L. Morgan and Christopher Winship

Type

Label

Counterfactuals and causal inference, methods and principles for social research, Stephen L. Morgan and Christopher Winship

Language

eng

Index

index present

Literary Form

non fiction

Main title

Counterfactuals and causal inference

Medium

electronic resource

Nature of contents

dictionaries

Oclc number

667100242

Responsibility statement

Stephen L. Morgan and Christopher Winship

Series statement

Analytical methods for social researchCambridge Social Sciences eBooks

Sub title

methods and principles for social research

Summary

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.--, Provided by publisher

resource.variantTitle

Counterfactuals & Causal Inference

Contributor