Testing the functional constraints on parameters in regressions with variables of different frequency

► We derive a test for the adequacy of the MIDAS regression models. ► Serial correlation and heteroscedasticity of errors are allowed in the regression. ► The asymptotic behavior of the test statistic is characterized. ► A Monte Carlo experiment illustrates the test performance in finite samples.