Causal Inference

Vikram Dayal ()
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Vikram Dayal: Institute of Economic Growth, Indian Economic Service Section

Chapter Chapter 10 in Quantitative Economics with R, 2020, pp 153-223 from Springer

Abstract: Abstract Simulation is used to illuminate causal inference. We begin with a short look at causal graphs and potential outcomes. We then aim to understand and see examples of experiments, regression adjustment, matching and sensitivity analysis, regression discontinuity, difference-in-difference, Manski bounds and instrumental variables.

Keywords: causality; experiments; matching; regression discontinuity; difference-in-difference; Manski bounds; instrumental variables (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-2035-8_10

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DOI: 10.1007/978-981-15-2035-8_10

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