Are tests for smooth structural change affected by data inaccuracies?
The size and power of tests for smooth structural change are evaluated in the presence of random measurement error in the explanatory variable or outliers in the dependent variable of a univariate regression model. It is shown that the considered tests are robust to measurement error of a magnitude that can be found in real economic data. By contrast,outliers are found to distort both the size and
