This chapter discusses Durbin, Wu, and Hausman (DWH) specification tests and provides examples of their application and interpretation. DWH tests compare alternative parameter estimates and can be useful in discerning endogeneity issues (omitted variables, measurement error/errors in variables, and simultaneity), incorrect functional form and contemporaneous correlation in the lagged dependent variable — serial correlation model, testing alternative estimators for a model, and testing alternative theoretical models. Empirical applications are provided illustrating the use of DWH tests in comparing LS, IV, FE, RE, and GMM estimators.