Causal Inference in Communication Studies

date
Jun 27, 2024
slug
causal-inference-in-communication-studies
status
Published
summary
Causal inference has long been a prevalent methodology in political science and economics, but its adoption within the field of communications has been slower, albeit increasing. This post aims to gather pioneering studies that utilize causal inference within the field of communications.
tags
Academic
Communication
Data Analysis
Methodology
Paper Reading
type
Post
Causal inference has long been a prevalent methodology in political science and economics, but its adoption within the field of communications has been slower, albeit increasing. This post aims to gather pioneering studies that utilize causal inference within the field of communications.

Recent Studies Using Causal Inference

Common Strategies in Causal Inference

  • Difference-in-Difference (DiD)
    • Overview: compare the difference between the differences between before and after the treatment within two groups
    • Assumptions
    • Derivatives
  • Regression Discontinuity Design (RD, RDD)
    • Overview
    • Assumptions
    • Derivatives
  • Synthetic Control Method (SC, SCM)
    • Overview: create a control group after treatment similar to all control groups before the treatment
    • Assumptions
      • Linear correlation
    • Derivatives
  • Instrumental Variable (IV)
    • Overview: use an exogenous variable which is correlated with X but independent on Y to estimate in two regressions
    • Assumptions
    • Derivatives

Methodological Discussions

     

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