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# Cobb-Douglas data

`CDpf.Rd`

Data used in Example 2 of Salmerón, García and García (2024) (subsection 4.2) on data for the Cobb-Douglas production function.

## Usage

    data("CDpf")

## Format

A data frame containing 28 observations on the following 4 variables:

`P`

  Production (dependent variable).

`cte`

  Intercept.

`logK`

  Capital (in logarithm).

`logW`

  Work (in logarithm).

## Details

This dataset was originally used by Olva Maldonado (2009).

## References

Olva Maldonado, H. (2009). Análisis de la función de producción Cobb-Douglas y su aplicación en el sector productivo mexicano. Tesis, Universidad Autónoma de Chapingo.

Salmerón, R., García, C.B. and García, J. (2025). A redefined Variance Inflation Factor: overcoming the limitations of the Variance Inflation Factor. Computational Economics, 65, 337-363, doi: https://doi.org/10.1007/s10614-024-10575-8.

## Examples

      head(CDpf, n=5)
    #>          P cte     logK     logW
    #> 1 37641114   1 17.93734 15.55598
    #> 2 42620804   1 18.01187 15.60544
    #> 3 37989413   1 17.98800 15.54486
    #> 4 40464915   1 18.00700 15.58605
    #> 5 41002031   1 18.02283 15.59570
      y = CDpf[,1]
      x = CDpf[,2:4]
      multicollinearity(y, x)
    #>         RVIFs           c0           c3 Scenario Affects
    #> 1 6388.881402 88495.933700   1.64951764      a.1      No
    #> 2    4.136993   207.628058   0.05043083      a.1      No
    #> 3   37.336325     9.445619 147.58213164      b.2      No