Readme file for SSC submission

---------------------------------------------------------------------------------
Readme file for Statistical Software Components (SSC) Archive submission
Date: 30 January 2021
Contact information: Sokbae Lee, Columbia University, email: sl3841@columbia.edu
---------------------------------------------------------------------------------

(1) Name of the Stata package: persuasio

(2) Title line: PERSUASIO: Stata module to estimate the effect of persuasion and conduct inference

(3) Authors: Sung Jae Jun (Penn State University) and Sokbae Lee (Columbia University)

(3) Description of the package (abstract): The stata PERSUASIO command estimates the effect of persuasion and conducts inference, using some of identification results obtained in Jun and Lee (2019, arXiv, https://arxiv.org/abs/1812.02276). 

(4) Language: Stata

(5) Requires: Stata version 14.2

(6) Key Words: persuasio, Communication, Media, Persuasion, Partial Identification, Treatment Effects

(7) License: GPL-3

(4) Included ado-files (8 files):

- aprlb.ado 
- aprub.ado 
- calc4persuasio.ado 
- lpr4ytz.ado
- persuasio.ado 
- persuasio4ytz.ado 
- persuasio4ytz2lpr.ado
- persuasio4yz.ado 

(5) Included help files (8 files):

- aprlb.sthlp 
- aprub.sthlp 
- calc4persuasio.sthlp 
- lpr4ytz.sthlp
- persuasio.sthlp 
- persuasio4ytz.sthlp 
- persuasio4ytz2lpr.sthlp
- persuasio4yz.sthlp 

(6) An example do file and a small dataset (2 files):

- persuasio_example.do
- GKB_persuasio.dta

(2) Contact information for inquiries: Sokbae Lee, Department of Economics, Columbia University (email: sl3841@columbia.edu)

(7) URL for the Stata module: https://github.com/sokbae/persuasio

(8) Reference: 

Sung Jae Jun and Sokbae Lee. 2019. Identifying the Effect of Persuasion. https://arxiv.org/abs/1812.02276.