Home > Research . Search . Country . Browse . Small Grants

PSC In The News

RSS Feed icon

Edin and Shaefer's book a call to action for Americans to deal with poverty

Weir says pain may underlie rise in suicide and substance-related deaths among white middle-aged Americans

Weitzman says China's one-child policy has had devastating effects on first-born daughters


MCubed opens for new round of seed funding, November 4-18

PSC News, fall 2015 now available

Barbara Anderson appointed chair of Census Scientific Advisory Committee

John Knodel honored by Thailand's Chulalongkorn University

Next Brown Bag

Monday, Dec 7 at noon, 6050 ISR-Thompson
Daniel Eisenberg, "Healthy Minds Network: Mental Health among College-Age Populations"

Yu Xie photo

Heterogeneous Treatment Effects in Social and Behavioral Sciences

a PSC Research Project [ARCHIVE DISPLAY]

Investigators:   Yu Xie, Susan A. Murphy, Marcia Ann Valenstein

One essential feature common to all social and behavioral phenomena is variability across units of analysis at different levels, such as individual and family characteristics and contextual (such as neighborhood and clinic) characteristics. The development of statistical methods so as to better
understand and accommodate such variability has been a major methodological achievement of modern social and behavioral sciences. Individuals differ greatly not only in background attributes but
also in how they respond to a treatment, intervention, or stimulation. We call the second type of variability “heterogeneous treatment effects.” The proposed research assembles an interdisciplinary team, encompassing such diverse fields as statistics, sociology, psychiatry, economics, and public health, to develop methodological tools that can be used to better understand and investigate the consequences of both types of heterogeneity, with a special emphasis on heterogeneous treatment effects.

Specifically, the proposed research has four aims:
(1) It will illustrate, through empirical studies, the pervasiveness of heterogeneous treatment
effects in social and behavioral sciences. Examples will be drawn from a variety of fields,
using both experimental and observational data.
(2) It will demonstrate, through micro-level simulations, that heterogeneity in treatment effects can give rise to composition biases in estimated treatment effects when selecting criteria for receiving treatment change.
(3) It will develop a set of diagnostic and analytical tools that will help researchers and practitioners to detect and utilize heterogeneous treatment effects so as to better match interventions to the individual and/or social/clinic setting. Special attention will be paid to heterogeneous treatment effects in social, behavioral, and medical sciences.
(4) To demonstrate the usefulness of the tools, it will apply the diagnostic and analytical tools to substantive research in three areas: (a) the effects of a job training program on the productivity of low-skilled workers, (b) the protective effect of a spouse on health among the elderly, and (c) the effectiveness of psychiatric treatments on mental health among veterans.

Funding Period: 09/29/2007 to 05/31/2012

This PSC Archive record is displayed for historical reference.

Search . Browse