New method accurately tests for unit root in correlated data panels.
The article tests for a unit root in large panels with correlated data. They use common factors to model this correlation and develop unit root tests. These tests have a specific distribution under certain conditions. The researchers find that these tests are not effective when removing certain components. Monte Carlo simulations show how these tests perform in real-world scenarios.