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Authors: Sung Jae Jun (Penn State University) and Sokbae Lee (Columbia University)
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Language: Stata (Requires: Stata version 16.1)
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License: GPL-3
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Version: 0.2.1
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Updates on November 20, 2022:
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The required Stata version is now 16.1
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r(table) is called after ereturn post to avoid syntax errors.
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Updates on November 13, 2022:
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The cases with covariates are updated.
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Standard errors are reported to be missing if
nlcom
does not produce standard errors due to singularity.
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This repository contains persuasio
command that estimates the effect of persuasion and conducts inference, using some of identification results obtained in Jun and Lee (2022, arXiv, https://arxiv.org/abs/1812.02276). Stata commands are posted at the Statistical Software Components (SSC) archive.
The Stata module persuasio
should be installed from within Stata by typing ssc install persuasio
.
- aprlb.ado
- aprub.ado
- calc4persuasio.ado
- lpr4ytz.ado
- persuasio.ado
- persuasio4ytz.ado
- persuasio4ytz2lpr.ado
- persuasio4yz.ado
- aprlb.sthlp
- aprub.sthlp
- calc4persuasio.sthlp
- lpr4ytz.sthlp
- persuasio.sthlp
- persuasio4ytz.sthlp
- persuasio4ytz2lpr.sthlp
- persuasio4yz.sthlp
- persuasio_example.do
- GKB_persuasio.dta
A draft version of the manual is available in a pdf file.
The help files are generated by the markdoc
command developed by E. F. Haghish.
Sung Jae Jun and Sokbae Lee. 2022. Identifying the Effect of Persuasion. https://arxiv.org/abs/1812.02276.