Data and Code for: "Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature"
Principal Investigator(s): View help for Principal Investigator(s) Rachael Meager, The London School of Economics
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
aggregating-dist-TEs | 04/25/2022 06:40:PM |
Project Citation:
Meager, Rachael . Data and Code for: “Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature” . Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-25. https://doi.org/10.3886/E155821V1
Project Description
Summary:
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This repository contains all R scripts needed to generate the main results of the paper entitled “Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature.” In its default state the masterfile.R generates the paper's tables and figures from saved MCMC output which takes about 15 minutes. If rStan is installed, then the masterfile can be toggled to run the MCMC scripts from the raw data, which takes about 72 hours on a high performance computing server.
Funding Sources:
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The Berkeley Initative for Transparency in the Social Sciences
Scope of Project
Subject Terms:
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microcredit;
meta-analysis;
bayesian statistics;
households;
entrepreneurs
JEL Classification:
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C11 Bayesian Analysis: General
O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
C11 Bayesian Analysis: General
O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
Geographic Coverage:
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Mongolia,
Morocco,
Philippines,
Mexico,
Bosnia and Herzegovina,
Ethiopia,
India
Time Period(s):
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2009 – 2015
Related Publications
Published Versions
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