Skip to content

Programs and data to accompany presentation at the AEA Annual Meeting 2021.

License

Notifications You must be signed in to change notification settings

matthewolckers/fbr-in-practice

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Friend-Based Ranking in Practice

Code and data for Friend-Based Ranking in Practice, a presentation by Francis Bloch and Matthew Olckers at American Economic Association's Annual Meeting on January 4, 2021.

Code is written in Python makes use of Jupyter Notebooks. Rather than saving the original notebook in this folder, we use JupyText to save either a markdown file or Python script. We also save the output of the notebooks in the subfolder notebooks/output as pdf print-outs.

Figures are produced in R using ggplot2.

The analysis is completed in the following steps.

Step 1: Download the data

The data is sourced from Alatas et al (2012) and Alatas et al (2016). Before running any of the code, this data must be downloaded and saved in specific folders. The data is downloaded as .zip files and then must be extracted to the \data folder.

Alatas et al (2012)

Download from DOI:10.3886/E112522V1 and save in the folder data\112522-V1.

Data citation:

Alatas, Vivi, Banerjee, Abhijit, Hanna, Rema, Olken, Benjamin A., and Tobias, Julia. Replication data for: Targeting the Poor: Evidence from a Field Experiment in Indonesia. Nashville, TN: American Economic Association [publisher], 2012. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112522V1

Article citation:

Alatas, Vivi, Abhijit Banerjee, Rema Hanna, Benjamin A Olken, and Julia Tobias. “Targeting the Poor: Evidence from a Field Experiment in Indonesia.” American Economic Review 102, no. 4 (June 2012): 1206–40. https://doi.org/10.1257/aer.102.4.1206

Alatas et al (2016)

Download from DOI:10.3886/E119802V1 the source and save in the folder data\119802-V1. This zip file contains a second compressed folder Network Data.zip, which you will also need to extract.

Data citation:

Alatas, Vivi, Banerjee, Abhijit, Chandrasekhar, Arun, Hanna, Rema, and Olken, Benjamin. Data and Code for: Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-06-08. https://doi.org/10.3886/E119802V1

Article citation:

Alatas, Vivi, Abhijit Banerjee, Arun G. Chandrasekhar, Rema Hanna, and Benjamin A. Olken. “Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia.” American Economic Review 106, no. 7 (July 1, 2016): 1663–1704. https://doi.org/10.1257/aer.20140705.

Step 2: Run the programs

ExtractNetworks.md + ExtractData.md

Extract the network, household and hamlet data collected by Alatas et al (2020) during a field experiment in Indonesia.

Analysis.md

Run the analysis to compare friend-based ranking with community-based targeting. HodgeRank codes are imported from Hodge.py.

Figures.R

Use data exported from the analysis to produce figures for the publication.

HodgeRank.md

Test HodgeRank on simple examples.


Bonus

You can play with the data online using Binder.

Binder

About

Programs and data to accompany presentation at the AEA Annual Meeting 2021.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published