Corpus ID: 214733560

Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control

@inproceedings{Yamauchi2020DifferenceinDifferencesFO,
  title={Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control},
  author={Soichiro Yamauchi},
  year={2020}
}
  • Soichiro Yamauchi
  • Published 2020
  • Mathematics, Economics
  • The difference-in-differences (DID) design is widely used in observational studies to estimate the causal effect of a treatment when repeated observations over time are available. Yet, almost all existing methods assume linearity in the potential outcome (parallel trends assumption) and target the additive effect. In social science research, however, many outcomes of interest are measured on an ordinal scale. This makes the linearity assumption inappropriate because the difference between two… CONTINUE READING

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