Sargan–Hansen test explained

The Sargan–Hansen test or Sargan's

J

test is a statistical test used for testing over-identifying restrictions in a statistical model. It was proposed by John Denis Sargan in 1958,[1] and several variants were derived by him in 1975.[2] Lars Peter Hansen re-worked through the derivations and showed that it can be extended to general non-linear GMM in a time series context.[3]

The Sargan test is based on the assumption that model parameters are identified via a priori restrictions on the coefficients, and tests the validity of over-identifying restrictions. The test statistic can be computed from residuals from instrumental variables regression by constructing a quadratic form based on the cross-product of the residuals and exogenous variables.[4] Under the null hypothesis that the over-identifying restrictions are valid, the statistic is asymptotically distributed as a chi-square variable with

(m-k)

degrees of freedom (where

m

is the number of instruments and

k

is the number of endogenous variables).

See also

Further reading

Notes and References

  1. Sargan . J. D. . 1958 . The Estimation of Economic Relationships Using Instrumental Variables . . 26 . 3 . 393–415 . 1907619 . 10.2307/1907619.
  2. Book: Sargan, J. D. . 1975 . 1988 . Testing for misspecification after estimating using instrumental variables . Contributions to Econometrics . New York . Cambridge University Press . 0-521-32570-6 .
  3. Hansen . Lars Peter . 1982 . Large Sample Properties of Generalized Method of Moments Estimators . Econometrica . 50 . 4 . 1029–1054 . 1912775 . 10.2307/1912775.
  4. Book: Sargan, J. D. . 1988 . Lectures on Advanced Econometric Theory . Oxford . Basil Blackwell . 0-631-14956-2 .