The California Center for Population Research and the Center for Social Statistics Presents:

Heterogeneous Causal Effects: A Propensity Score Approach

Heterogeneity is ubiquitous in social science.  Individuals differ not only in background characteristics, but also in how they respond to a particular treatment. In this presentation, Yu Xie argues that a useful approach to studying heterogeneous causal effects is through the use of the propensity score. He demonstrates the use of the propensity score approach in three scenarios: when ignorability is true, when treatment is randomly assigned, and when ignorability is not true but there are valid instrumental variables.

Speaker:
Yu Xie, Professor, Princeton
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