erer (version 2.5)

aiStaHau: Conducting a Hausman Test on a Static AIDS Model

Description

Conduct a Hausman test on a static AIDS model and report the result of likelihood ratio test.

Usage

aiStaHau(x, instr, choice = FALSE, ...)

Arguments

x

an object of class aiStaFit from a static AIDS model.

instr

a single time series data as instrument for the expenditure variable in AIDS model.

choice

a logical value of whether to take a difference on the right-hand price and instr variables.

…

additional arguments to be passed.

Value

Return a data frame object with the statistics and p values for the four tests by equation.

daHau

data used in estimating the Hausman test.

formuHau

formula for estimating the Hausman test.

regHau

regression for the Hausman test.

daFit

revised data with the fitted value of expenditure included.

aiBase

the base static AIDs model estimated.

aiHaus

the reestimated static AIDS model using the fitted value of expenditure.

ratio

result of the likelihood ration test for the Hausman test.

Details

Conduct a Hausman test on a static AIDS model and report the result of likelihood ratio test. Note that logarithm is taken on every variable in the auxiliary regression. These variables are the real total expenditure and its lagged value, instrumental variable, and the price variables.

References

Wan, Y., C. Sun, and D.L. Grebner. 2010. Analysis of import demand for wooden beds in the United States. Journal of Agricultural and Applied Economics 42(4):643-658.

See Also

aiStaFit; print.aiFit.

Examples

# NOT RUN {
# see the examples for 'aiDynFit'.
# }