New method predicts economic trends, revolutionizing forecasting for large datasets.
The article discusses how researchers analyze data sets with many short time series. They use autoregressive models with sample selectivity to study the relationships between variables over time. By removing individual effects and using lagged variables as instruments, they can estimate the coefficients accurately. This helps them understand how variables interact and test theoretical models.