… There have been a number of general books on causality and causal inference in statistics
and social sciences in the past two decades, including those of Rubin (2006), Imbens & …

… causal estimands of interest and evaluation of methods traditionally used to make causal
inferences… In particular, I look at the relationship of political methodology to other social science …

… of his approach to causal inference in the social sciences. He … arguments with examples
from political science, public policy, … Many social scientists now agree that statistical technique …

… applied in the social sciences and statistics. We thought that these new methods of causal
inference had … of the new methods of causal inference in the fields of educational and social …

… , causal effects are comparisons of such potential outcomes. The fundamental problem of
causal inference … The authors discuss how randomized experiments allow us to assess causal …

… for valid causal inference in the social sciences. This article presents the basic potential
outcomes model and discusses the main approaches to identification in social science research. …

… using evidence to infer causal relations. Attention focuses on the relationship … causal
inference and an account of causation to which many social scientists who make causal inferences …

… inference often is denigrated in political science, our field’s expertise in measurement can
make better and more useful causal inferences … best example of political science’s expertise …

… On the positive side, we can infer that X is a cause of Y if we … are necessary for causal
inference in social science, and … significantly assist causal inference in social science is not …

… is synonymous with causal explanation. Of … of causal inference, it is important to note that
a number of important concerns that social scientists address do not require recourse to causal …