Ensuring reproducibility in Stata: Insights from the World Bank's reproducible research repository

Luis Eduardo San Martin, Maria Ruth Jones, Maria Reyes Retana, Benjamin Daniels and Kristoffer Bjarkefur
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Luis Eduardo San Martin: World Bank
Maria Ruth Jones: World Bank
Maria Reyes Retana: World Bank
Kristoffer Bjarkefur: The World Bank, DIME/LSMS

2024 Stata Conference from Stata Users Group

Abstract: The challenge of reproducing economics research has gained increased attention with the growing advocacy for open science in the field. Economics journals and research institutions are quickly adopting reproducibility guidelines, requiring authors to provide code and data for reproducing results and ensuring the trustworthiness of their findings. Presented by the Development Impact Analytics team of the World Bank, this session delves into the intricacies of achieving reproducibility in Stata. Since the launch of the World Bank's Reproducible Research Repository, the team has conducted reproducibility verifications and curated reproducibility packages for almost a hundred working papers from diverse research teams in the organization, building up a valuable and novel experience into addressing common issues that break reproducibility in Stata analyses. The session will present an overview of the workflows and tools the team has developed in response to identified reproducibility challenges in typical Stata works, covering key topics such as controlling the versions of external dependencies and appropriately handling randomness in Stata code. The presentation will include practical strategies for enhancing the transparency and reliability of Stata-based research.

Date: 2024-08-04
New Economics Papers: this item is included in nep-sog
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http://repec.org/usug2024/US24_San_Martin.pdf

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Persistent link: https://EconPapers.repec.org/RePEc:boc:usug24:15

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