A guide to working with country-year panel data and Bayesian multilevel models
Read OriginalThis article provides a detailed tutorial for statisticians and data scientists on handling the complexities of country-year panel data. It covers the use of Bayesian multilevel models with the R programming language and the brms package, addressing challenges like longitudinal trends, nested country/region effects, and time-based interactions.
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