arXiv 18 Oct 2024 · Econometrics
arXiv:2410.14871 · PDF · DOI · OpenAlex · Extracted main text
We develop a difference-in-differences framework to measure the persuasive impact of informational treatments on behavior. We introduce two causal parameters, the forward and backward average persuasion rates on the treated, which refine the average treatment effect on the treated. The forward rate excludes cases of "preaching to the converted," while the backward rate omits "talking to a brick wall" cases. We propose both regression-based and semiparametrically efficient estimators. The framework applies to both two-period and staggered treatment settings, including event studies, and we demonstrate its usefulness with applications to a British election and a Chinese curriculum reform.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Jun, Sung Jae and Sokbae Lee (2023) Identifying the effect of persuasion self | 1.000 | 7 | 3 | 100% |
| 2 | Callaway, Brantly and Pedro H.C. Sant’Anna (2021) Difference-in-Differences with Multiple Time Periods | 1.000 | 6 | 3 | 100% |
| 3 | Cantoni, Davide, Yuyu Chen, David Y Yang, Noam Yuchtman, and Y Jane… (2017) Curriculum and ideology | 0.874 | 11 | 2 | 100% |
| 4 | Ladd, Jonathan McDonald and Gabriel S. Lenz (2009) Exploiting a Rare Communication Shift to Document the Persuasive Power of the News Media | 0.874 | 8 | 2 | 100% |
| 5 | Roth, Jonathan, Pedro HC Sant’Anna, Alyssa Bilinski, and John Poe (2023) What’s trending in difference-in-differences? A synthesis of the recent econometrics literature | 0.843 | 3 | 3 | 100% |
| 6 | Hainmueller, Jens (2012) Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies | 0.811 | 4 | 2 | 100% |
| 7 | Newey, Whitney K (1994) The asymptotic variance of semiparametric estimators | 0.811 | 4 | 2 | 100% |
| 8 | Pearl, Judea (1999) Probabilities of causation: three counterfactual interpretations and their identification | 0.811 | 4 | 2 | 100% |
| 9 | DellaVigna, Stefano and Ethan Kaplan (2007) The Fox News effect: Media bias and voting | 0.737 | 3 | 2 | 100% |
| 10 | Dawid, A. Philip, David L. Faigman, and Stephen E. Fienberg (2014) Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects? | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 50 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Better Understanding Triple Differences Estimators | 0.405 | 1 | 1 |