Definition of J Statistic:
In a GMM context, when there are more moment conditions than parameters
to be estimated, a chi-square test can be used to test the overidentifying
restrictions. The test statistic can be called the J statistic.
In more detail: Say there are q moment conditions and p parameters to be
estimated. Let the weighting matrix be the inverse of the asymptotic
covariance matrix. Let T be the sample size. Then T times the minimized
value of the objective function (TJT(bT)) is asymptotically distributed with a
chi-square distribution with (q-p) degrees of freedom.
(Econterms)
Terms related to J Statistic:
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