Code and apps

The PAP App (beta version): Optimal incentive compatible pre-analysis plans that control size and maximize power

• Interactive: The_PAP_App
• Repository: https://github.com/maxkasy/The_PAP_App
• Theoretical background: implementable_preanalysis_slides_kasy.pdf

Exploration sampling: Adaptive treatment assignment in experiments for policy choice

• Interactive App: exploration_sampling_dashboard
• Repository: https://github.com/maxkasy/exploration-sampling-dashboard
• Theoretical background: adaptiveexperimentspolicy.pdf

Balancing for treatment effect estimation: App for optimal treatment assignment using baseline covariates

• Interactive App: /treatmentassignment
• Repository: https://github.com/maxkasy/optimal-treatment-assignment-app
• Theoretical background: experimentaldesign.pdf

App for estimating publication bias using meta-studies

• Interactive App: /metastudy
• Repository: https://github.com/maxkasy/MetaStudiesApp
• Theoretical background: PublicationBias.pdf
• R code implementing GMM version (programmed by Birt Sharoni) gmm_estimation_r.zip

App for Thompson sampling for contextual bandits

• Interactive App: /hierarchicalthompson
• Repository: https://github.com/maxkasy/ThompsonHierarchicalApp
• Theoretical background: A Tutorial on Thompson Sampling

R code for optimal taxation and insurance using machine learning

• Repository: https://github.com/maxkasy/optimaltaxationusingML
• Theoretical background: PolicyDecisions.pdf

The wealthometer

• International version: http://wealthometer.org/
• Austrian version: http://www.binichreich.at/

A collection of useful computational ressources

• Collection of links: Computation Links