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

PSC In The News

RSS Feed icon

Shaefer and Edin's book ($2 a Day) cited in piece on political debate over plight of impoverished Americans

Eisenberg tracks factors affecting both mental health and athletic/academic performance among college athletes

Shapiro says Americans' low spending reflects "cruel lesson" about the dangers of debt

Highlights

Susan Murphy elected to the National Academy of Sciences

Maggie Levenstein named director of ISR's Inter-university Consortium for Political and Social Research

Arline Geronimus receives 2016 Harold R. Johnson Diversity Service Award

PSC spring 2016 newsletter: Kristin Seefeldt, Brady West, newly funded projects, ISR Runs for Bob, and more

Next Brown Bag

PSC Brown Bags
will resume fall 2016

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 and 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