New panel unit-root tests boost accuracy of economic predictions
The article compares different tests used to analyze data from different sources to see which one is the most accurate. They found that Moon and Perron's tests work well for different situations, while Bai and Ng's test is better for certain types of data. Choi's tests are not as accurate when the data varies a lot.