num_pages: 328
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.
language: English
title: Counterfactuals and Causal Inference: Methods and Principles for Social Research
titlecomplete: Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
genres: Social Science, Reference, Political Science, Philosophy, Science, Technical, Economics, Research, Mathematics, Sociology
ratings_count: 95
series: Analytical Methods for Social Research
publisher: Cambridge University Press