New tool detects unit-root processes, revolutionizing data analysis lags.
The article presents a tool called dfsummary that tests if a variable follows a unit-root process. The tool checks if the variable has a unit root or if it was generated by a stationary process. It can include or exclude constants, trend terms, seasonal dummies, and lagged values in the regression. The tool provides a summary table for different lags of the variable in the regression.
