aiStaFit: Fitting a Static AIDS Model
In erer: Empirical Research in Economics with R

aiStaFit

R Documentation

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 (edwinsun258@gmail.com)

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.