Researchers developed a method to estimate parameters in a complex model for analyzing economic growth data. They used a technique called importance sampling to handle random effects and make the model flexible for large datasets. By applying this method to real-world economic data, they found that their model can reveal common and unique patterns in economic growth across different countries.