aiStaFit {erer}

Fitting a Static AIDS Model

Description

Estimate a static AIDS model for a system.

Usage

aiStaFit(y, share, price, expen, shift = NULL, omit = NULL,
  hom = TRUE, sym = TRUE, AR1 = FALSE, rho.sel = c("all", "mean"), ...)

Arguments

y

a multiple time series data.

share

names of the share variables.

price

names of the price variables.

expen

name of the expenditure variables.

shift

names of the shifter variables.

omit

name of the share variable omitted; if not supplied, this is the last one of share.

hom

a logical value of homogeneity test.

sym

a logical value of symmetry test.

AR1

whether first-degree autocorrelation should be corrected.

rho.sel

if AR1 = TRUE, there are two ways of computing the autocorrelation coefficient.

...

additional arguments to be passed.

Details

This estimates a static AIDS model. The data supplied should be in the final format. Autocorrelation in the residuals can be corrected following the treatment in Berndt (1975).

Value

Return a list object of class "aiFit" and "aiStaFit" with the following components:

y

data for fitting the static AIDS model.

share

names of the share variables.

price

names of the price variables.

expen

name of the expenditure variables.

shift

names of the shifter variables.

omit

name of the share variable omitted; if not supplied, this is the last one of share.

nOmit

position of the omitted share variable in the name of share variable.

hom

a logical value of homogeneity test.

sym

a logical value of symmetry test.

nShare

number of share variables.

nExoge

number of exogenous variables (lagged share, residual, expenditure, and shifters).

nParam

number of parameters in one equation.

nTotal

number of parameters in the whole system estimated.

formula

formula for estimating the system.

res.matrix

restriction matrix for hom or sym, or both.

res.rhs

right-hand values for tests of hom or sym, or both.

est

the static AIDS model estimated.

AR1

a logical value whether autocorrelation is corrected.

call

a record of the system call; this allows update.default to be used.

Methods

One method is defined as follows. This is the print method related to three functions: aiStaFit, aiDynFit, and aiStaHau.

print:

print the first several observations of selectec outputs.

Author(s)

Changyou Sun ([e-mail])

References

Berndt, E.R., and N.E. Savin. 1975. Estimation and hypothesis testing in singular equation systems with autoregressive disturbances. Econometrica 43(5/6):937-957.

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

aiDiag; aiElas; summary.aiFit; aiDynFit; aiStaHau; systemfitAR.

Examples

# see the examples for 'aiDynFit'.