r(J) Hansen's J statistic r(Jdf) J statistic degrees of freedom r(Jp) J statistic pvalue Also see Manual: [R gmm postestimation Help: [R gmm. Related Interests Documents Similar To HansenJ Test Instrumental variables and panel data methods in economics and nance Christopher F Baum Boston College and DIW Berlin February 2009 Christopher F Baum Jun 28, 2015 The Sargan test results are telling you that the instruments are collectively invalid.
But this might change once you add year dummies. They are also telling me that you did not specify" robust" for the standard errors, which is unusual, and unconservative.
You may have found the solution in the meantime, otherwise my belated reply is: the Sargan is significant, thus your instruments may be not valid. 3) correlated with that for which they are instruments (that is, they must not be 'weak') and the SarganHansen test can consider 1) and 2) together.
If the z's are ManuelArellano article surveys J. D. Sargan The SarganHansen test or Sargan's test is a statistical test used for testing overidentifying restrictions in a statistical model. It was proposed by John Denis Sargan in Sargan test when the pweights (or robust) option is not specified, but does not report the Sargan test when pweights are specified because it knows that the Sargan test is wrong with pweights.
Likewise, the popular ivreg2 program of Baum and Shaeffer will not report a Sargan test for models with pweights. of this test due to Sargan (1958), Basmann (1960), and, in the GMM context, Hansen (1982), and show how the generalization of this test, the C or dierenceinSargan test, can be used to test the validity of subsets of the instruments. The following links provide quick access to summaries of the help command reference material.
Using these links is the quickest way of finding all of the relevant EViews commands and functions associated with a general topic such as equations, strings, or statistical distributions. Instrumental Variables Estimation in Stata The GMM weighting matrix Solving the set of FOCs, we derive the IVGMM estimator of an overidentied equation: The optimal weighting matrix, as shown by Hansen (1982), chooses W S1 where S is the covariance matrix of the. Test of overidentifying restrictions: Crosssection timeseries model: xthtaylor htaylor SarganHansen statistic 5.
229 Chisq(3) Pvalue 0. 1558. Note: In order to perform the xtoverid test, the statistic must have ranktest (version or greater) and xtoverid ado files installed. HansenSargan test for simultaneous equations with gmm For technical questions regarding estimation of single equations, systems, VARs, Factor analysis and State Space Models in EViews. General econometric questions and advice should go in the Econometric Discussions forum.