Structural breaks in time series data can make it seem like there are unit roots present. This study looked at different tests for cointegration when one variable has a structural break. The tests are not affected much by the break, but error correction models are usually better than the two-step method with the Dickey-Fuller test. Differences in power show up when the data doesn't have a common factor.