The New Palgrave Dictionary of Economics

Living Edition
| Editors: Palgrave Macmillan

Durbin-Watson Statistic

  • James G. MacKinnon
Living reference work entry


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.


Durbin–Watson statistic Linear regression models Monte Carlo test Ordinary least squares (OLS) estimator Serial correlation Testing DW statistic 

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  1. Ansley, C., R. Kohn, and T. Shively. 1992. Computing p-values for the generalized Durbin–Watson statistic and other invariant test statistics. Journal of Econometrics 54: 277–300.CrossRefGoogle Scholar
  2. 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
  3. Durbin, J. 1970. Testing for serial correlation in least-squares regression when some of the regressors are lagged dependent variables. Econometrica 38: 410–421.CrossRefGoogle Scholar
  4. Durbin, J., and G. Watson. 1950. Testing for serial correlation in least squares regression I. Biometrika 37: 409–428.Google Scholar
  5. Durbin, J., and G. Watson. 1951. Testing for serial correlation in least squares regression II. Biometrika 38: 159–177.CrossRefGoogle Scholar
  6. Godfrey, L. 1978. Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables. Econometrica 46: 1293–1301.CrossRefGoogle Scholar
  7. Imhof, J. 1961. Computing the distribution of quadratic forms in normal variables. Biometrika 48: 419–426.CrossRefGoogle Scholar
  8. Savin, N., and K. White. 1977. The Durbin–Watson test for serial correlation with extreme sample sizes or many regressors. Econometrica 45: 1989–1996.CrossRefGoogle Scholar

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© The Author(s) 2008

Authors and Affiliations

  • James G. MacKinnon
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