Durbin-Watson Statistic
Reference work entry
First Online:
DOI: https://doi.org/10.1057/978-1-349-95189-5_2200
Abstract
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.
Keywords
Durbin–Watson statistic Linear regression models Monte Carlo test Ordinary least squares (OLS) estimator Serial correlation Testing DW statisticJEL Classifications
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