Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Yang comments on importance of migrant remittances to future of recipient families

Frey says America's black population is changing with recent immigration

Bailey and Danziger's War on Poverty book reviewed in NY Review of Books

Highlights

Hicken wins 2015 UROP Outstanding Research Mentor Award

U-M ranked #1 in Sociology of Population by USN&WR's "Best Graduate Schools"

PAA 2015 Annual Meeting: Preliminary program and list of UM participants

ISR addition wins LEED Gold Certification

Next Brown Bag

Mon, May 18
Lois Verbrugge, Disability Experience & Measurement

Matching estimators of causal effects: Prospects and pitfalls in theory and practice

Publication Abstract

Morgan, S.L., and David J. Harding. 2006. "Matching estimators of causal effects: Prospects and pitfalls in theory and practice." Sociological Methods & Research, 35(1): 3-60.

As the counterfactual model of causality has increased in popularity, sociologists have returned to matching as a research methodology. In this article, advances over the past two decades in matching estimators are explained, and the practical limitations of matching techniques are emphasized. The authors introduce matching methods by focusing first on ideal scenarios in which stratification and weighting procedures warrant causal inference. Then, they discuss how matching is often undertaken in practice, offering an overview of the most prominent data analysis routines. With four hypothetical examples, they demonstrate how the assumptions behind matching estimators often break down in practice. Even so, the authors argue that matching techniques can be used effectively to strengthen the prosecution of causal questions in sociology.

DOI:10.1177/0049124106289164 (Full Text)

Browse | Search : All Pubs | Next