The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US.

DOI10.1007/s10260-023-00709-xarXiv2203.14831MaRDI QIDQ6088755

Giulio Grossi

Publication date: 14 December 2023

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2203.14831

zbMATH Keywords

synthetic control methoddisaggregated frameworktreatment heterogeneitystaggered adoptionvaccination lottery

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Bayesian inference for causal effects: The role of randomization
• Design-based analysis in difference-in-differences settings with staggered adoption
• Difference-in-differences with multiple time periods
• The central role of the propensity score in observational studies for causal effects
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Synthetic Controls with Staggered Adoption
• Matrix Completion Methods for Causal Panel Data Models
• The Augmented Synthetic Control Method
• A Penalized Synthetic Control Estimator for Disaggregated Data

This page was built for publication: The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US.