systemfit (version 0.8-5)

hausman.systemfit: Hausman Test

Description

hausman.systemfit returns the Hausman statistic for a specification test.

Usage

hausman.systemfit( results2sls, results3sls )

Arguments

results2sls

result of a 2SLS (limited information) estimation returned by systemfit.

results3sls

result of a 3SLS (full information) estimation returned by systemfit.

Value

• hausman.systemfit returns a list of the class htest that contains following elements:
• q
  vector of the differences between the estimated coefficients.
• qVar
  variance covariance matrix of q (difference between the variance covariance matrices of the estimated coefficients).
• statistic
  the Hausman test statistic.
• parameter
  degrees of freedom.
• p.value
  P-value of the test.
• method
  character string describing this test.
• data.name
  name of the data.frame used for estimation.

Details

The null hypotheses of the test is that all exogenous variables are uncorrelated with all disturbance terms. Under this hypothesis both the 2SLS and the 3SLS estimator are consistent but only the 3SLS estimator is (asymptotically) efficient. Under the alternative hypothesis the 2SLS estimator is consistent but the 3SLS estimator is inconsistent.

The Hausman test statistic is

$$m = ( b_2 - b_3 )' ( V_2 - V_3 ) ( b_2 - b_3 )$$

where $b_2$ and $V_2$ are the estimated coefficients and their variance covariance matrix of a 2SLS estimation and $b_3$ and $V_3$ are the estimated coefficients and their variance covariance matrix of a 3SLS estimation.

References

Greene, W. H. (1993) Econometric Analysis, Fifth Edition, Macmillan.

Hausman, J. A. (1978) Specification Tests in Econometrics. Econometrica. 46:1251-1271.

Kmenta, J. (1997) Elements of Econometrics, Second Edition, University of Michigan Publishing

See Also

systemfit

Examples

data( "Kmenta" )
demand <- consump ~ price + income
supply <- consump ~ price + farmPrice + trend
inst <- ~ income + farmPrice + trend
labels <- list( "demand", "supply" )
system <- list( demand, supply )

## perform the estimations
fit2sls <- systemfit( "2SLS", system, labels, inst, data = Kmenta )
fit3sls <- systemfit( "3SLS", system, labels, inst, data = Kmenta )

## perform the Hausman test
h <- hausman.systemfit( fit2sls, fit3sls )
print( h )