Estimating Individual Causal Effects

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Estimating Individual Causal Effects

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Title: Estimating Individual Causal Effects
Author: Lam, Patrick Kenneth
Citation: Lam, Patrick Kenneth. 2013. Estimating Individual Causal Effects. Doctoral dissertation, Harvard University.
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Research Data: http://hdl.handle.net/1902.1/22427
Abstract: Most empirical work focuses on the estimation of average treatment effects (ATE). In this dissertation, I argue for a different way of thinking about causal inference by estimating individual causal effects (ICEs). I argue that focusing on estimating ICEs allows for a more precise and clear understanding of causal inference, reconciles the difference between what the researcher is interested in and what the researcher estimates, allows the researcher to explore and discover treatment effect heterogeneity, bridges the quantitative-qualitative divide, and allows for easy estimation of any other causal estimand.
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181234
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