EconPapers    
Economics at your fingertips  
 

Learning the effect of persuasion via difference-in-differences

Sung Jae Jun and Sokbae (Simon) Lee

No 24/24, CeMMAP working papers from Institute for Fiscal Studies

Abstract: The persuasion rate is a key parameter for measuring the causal effect of a directional message on influencing the recipient’s behavior. Its identification has relied on exogenous treatment or the availability of credible instruments, but the requirements are not always satisfied in observational studies. Therefore, we develop a novel econometric framework for the average persuasion rate on the treated and other related parameters by using the difference-in-differences approach. The average treatment effect on the treated is a standard parameter in difference-in-differences, but we show that it is an overly conservative measure in the context of persuasion. For estimation and inference, we propose regression-based approaches as well as semiparametrically efficient estimators. Beginning with the two-period case, we extend the framework to staggered treatment settings, where we show how to conduct richer analyses like the event-study design. We investigate the British election and the Chinese curriculum reform as empirical examples.

Date: 2024-12-12
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.cemmap.ac.uk/wp-content/uploads/2024/1 ... e-in-differences.pdf (application/pdf)

Related works:
Working Paper: Learning the Effect of Persuasion via Difference-In-Differences (2024) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:azt:cemmap:24/24

DOI: 10.47004/wp.cem.2024.2424

Access Statistics for this paper

More papers in CeMMAP working papers from Institute for Fiscal Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dermot Watson ().

 
Page updated 2025-03-28
Handle: RePEc:azt:cemmap:24/24