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

PSC In The News

RSS Feed icon

Eisenberg discusses U-M program offering mental health services to student athletes

Bailey and Dynarski's work cited in Bloomberg article on growing U.S. inequality

Frey says current minority college completion rates predict decline in college-educated Americans


ISR addition wins LEED Gold Certification

Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Next Brown Bag

Monday, Feb 2
Monica Grant, Free Primary Education & Age of First Birth in Malawi

Composite Causal Effects for Time-Varying Treatments and Time-Varying Outcomes

Publication Abstract

Download PDF versionBrand, Jennie, and Yu Xie. 2006. "Composite Causal Effects for Time-Varying Treatments and Time-Varying Outcomes." PSC Research Report No. 06-601. June 2006.

We develop an approach to conceptualizing causal effects in longitudinal settings with time-varying treatments and time-varying outcomes. The classic potential outcome approach to causal inference generally involves two time periods: units of analysis are exposed to one of two possible values of the causal variable, treatment or control, at a given point in time, and values for an outcome are assessed some time subsequent to exposure. In this paper, we develop a potential outcome approach for longitudinal situations in which both exposure to treatment and the effects of treatment are time-varying. In this longitudinal setting, the research interest centers on not two potential outcomes, but a matrix of potential outcomes, requiring a complicated conceptualization of many potential counterfactuals. Motivated by several sociological applications, we develop a simplification scheme – a composite causal effect estimand – with a forward looking sequential expectation that allows identification and estimation of effects with a number of possible solutions. Our approach is illustrated via an analysis of the effects of disability on subsequent employment status using panel data from the Wisconsin Longitudinal Study.

Browse | Search : All Pubs | Next