Potential Outcomes

Vikram Dayal () and Anand Murugesan ()
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Vikram Dayal: Institute of Economic Growth
Anand Murugesan: Central European University

Chapter Chapter 4 in Demystifying Causal Inference, 2023, pp 55-64 from Springer

Abstract: Abstract The potential outcomes approach or the Neyman-Rubin causal model (Rubin 2008) provides a conceptual basis for causal inference. Causal inference builds on statistical inference, and the Neyman-Rubin causal model guides us in thinking about causal estimands and in estimating causal effects. In this chapter, we provide an intuitive introduction to the Neyman-Rubin causal model.

Keywords: Potential outcomes; Counterfactual; Rubin; Manski bounds (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-3905-3_4

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DOI: 10.1007/978-981-99-3905-3_4

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