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Causal Inference

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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

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Correspondence to Vikram Dayal .

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Dayal, V. (2020). Causal Inference. In: Quantitative Economics with R. Springer, Singapore. https://doi.org/10.1007/978-981-15-2035-8_10

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