Fit Cobb-Douglas models

Fit Cobb-Douglas models

cdModel(formula, data, response, x1, x2, x3, time, constrained = TRUE,
  save.data = TRUE, correlation = NULL, ...)

Arguments

data	a data frame in which formula is evaluated
response	instead of specifying a formula, expressions for the components can be specified individually.
x1	instead of specifying a formula, expressions for the components can be specified individually.
x2	instead of specifying a formula, expressions for the components can be specified individually.
x3	instead of specifying a formula, expressions for the components can be specified individually.
time	instead of specifying a formula, expressions for the components can be specified individually.
constrained	a logical indicating whether the parameters should be constrained in the fitting process.
formala	a formula of the form response ~ x1 + x2 + time or response ~ x1 + x2 + x3 + time

Value

a CDEmodel object, which is an lm object with some additioanl attributes.

Examples

data(EconUK)
cdModel(response = "iGDP", x1 = "iK", x2 = "iL", time = "iYear", data = EconUK)
#> Generalized least squares fit by REML
#>   Model: log(iGDP) - log(iL) ~ I(log(iK) - log(iL)) + iYear 
#>   Data: sdata 
#>   Log-restricted-likelihood: 110.7822
#> 
#> Coefficients:
#>     logscale      alpha_1       lambda 
#> -0.001552367  0.535182020  0.011122525 
#> 
#> Degrees of freedom: 51 total; 48 residual
#> Residual standard error: 0.02126305 
cdModel(iGDP ~ iK + iL + iYear, data = EconUK)
#> Generalized least squares fit by REML
#>   Model: log(iGDP) - log(iL) ~ I(log(iK) - log(iL)) + iYear 
#>   Data: sdata 
#>   Log-restricted-likelihood: 110.7822
#> 
#> Coefficients:
#>     logscale      alpha_1       lambda 
#> -0.001552367  0.535182020  0.011122525 
#> 
#> Degrees of freedom: 51 total; 48 residual
#> Residual standard error: 0.02126305