Social scientists increasingly exploit natural experiments in their research. This article
surveys recent applications in political science, with the goal of illustrating the inferential …

In The Turnout Gap, Bernard L. Fraga offers the most comprehensive analysis to date of the
causes and consequences of racial and ethnic disparities in voter turnout. Examining voting …

Identifying causal mechanisms is a fundamental goal of social science. Researchers seek to
study not only whether one variable affects another but also how such a causal relationship …

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive
manual for the applied researcher who wants to perform data analysis using linear and …

As recently as the early 1970s, the news media was one of the most respected institutions in
the United States. Yet by the 1990s, this trust had all but evaporated. Why has confidence in …

This paper establishes the relatively weak conditions under which causal inferences from a
regression–discontinuity (RD) analysis can be as credible as those from a randomized …

This book is an accessible introduction to quantitative data analysis, concentrating on the
key issues facing those new to research, such as how to decide which statistical procedure …

Human beings are social animals. Yet despite vast amounts of research into political
decision making, very little attention has been devoted to its social dimensions. In political …

Abstract In the Regression Discontinuity (RD) design, units are assigned a treatment based
on whether their value of an observed covariate is above or below a fixed cutoff. Under the …

John Gerring's exceptional textbook has been thoroughly revised in this second edition. It
offers a one-volume introduction to social science methodology relevant to the disciplines of …