{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2025-07-14","version":"1"},"project_desc":{"authoring_entity":[{"name":"David McKenzie","affiliation":"World Bank","email":"dmckenzie@worldbank.org"}],"title_statement":{"title":"Reproducibility package for Designing And Analyzing Powerful Experiments: Practical Tips For Applied Researchers","idno":"RR_WLD_2025_394"},"data_statement":"All data sources are publicly available and included in the reproducibility package. ","software":[{"name":"Stata","version":"18 MP"}],"scripts":[{"title":"Reproducibility package for Designing And Analyzing Powerful Experiments: Practical Tips For Applied Researchers","date":"2025-07","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.","file_name":"RR_WLD_2025_394","zip_package":"RR_WLD_2025_394.zip","dependencies":"The package does not have external dependencies"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2025-07-14","abstract":"This paper offers practical advice on how to improve statistical power in randomized experiments through choices and actions researchers can take at the design, implementation, and analysis stages. At the design stage, the choice of estimand, choice of treatment, and decisions that affect the residual variance and intra-cluster correlation can all affect power for a given sample size. At the implementation stage, researchers can boost power through increasing compliance with treatment, reducing attrition, and improving outcome measurement. At the analysis stage, power can be increased through using different test statistics or estimands, through the choice of control variables, and through incorporating informative priors in a Bayesian analysis. A key message is that it does not make sense to talk of \u201cthe\u201d power of an experiment. A study can be well-powered for one outcome or estimand, but not others, and a fixed sample size can yield very different levels of power depending on researcher decisions.","geographic_units":[{"name":"World","code":"WLD"}],"keywords":[{"name":"Power Calculations"}],"topics":[{"id":"C93","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Field Experiments","parent_id":"C9"},{"id":" O12","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Microeconomic Analyses of Economic Development","parent_id":"O1"}],"output":[{"type":"Working Paper","description":"Policy Research Working Papers (PRWP) 11176","title":"Designing And Analyzing Powerful Experiments: Practical Tips For Applied Researchers","authors":"David McKenzie","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099553307212526951","doi":"http:\/\/doi.org\/10.1596\/1813-9450-11176"}],"language":[{"name":"English","code":"EN"}],"disclaimer":"The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development\/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"David McKenzie","affiliation":"World Bank","email":"dmckenzie@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"Data for Replication package of Bayesian Impact Evaluation with Informative Priors: An Application to a Colombian Management and Export Improvement Program","note":"Source: Iacovone, L., McKenzie, D., & Meager, R. (2024). Replication package of \"Bayesian Impact Evaluation with Informative Priors: An Application to a Colombian Management and Export Improvement Program\" [Data set]. In Econometrica. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.14430028","access_type":"Data is publicly available and included in the reproducibility package","license":"Creative Commons Attribution 4.0 International (CC)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode","uri":"https:\/\/doi.org\/10.5281\/zenodo.14430028"}],"reproduction_instructions":"To reproduce the findings in this study, a new user needs to: \n1. Change the path in the ` FiscalStudies` do file. \n2. Run the do file. ","technology_requirements":"~1 minute runtime ","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Mac OS Sequoia 15.5\n\u2022 Processor: Apple M4 Pro\n\u2022 Memory available: 24 GB\n\u2022 Software version: Stata 18.0"},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Open Data"}],"schematype":"script"}