The well-known Durbin–Watson, or DW, statistic, which was proposed by Durbin and Watson (1950, 1951), is used for testing the null hypothesis that the error terms of a linear regression model are serially independent.
KeywordsDurbin–Watson statistic Linear regression models Monte Carlo test Ordinary least squares (OLS) estimator Serial correlation Testing DW statistic
- Davidson, R., and J. MacKinnon. 2006. Bootstrap methods in econometrics. In Palgrave handbooks of econometrics: volume 1: Econometric theory, ed. T. Mills and K. Patterson. Basingstoke: Palgrave Macmillan.Google Scholar
- Durbin, J., and G. Watson. 1950. Testing for serial correlation in least squares regression I. Biometrika 37: 409–428.Google Scholar