npbr (version 1.6)

green: American electric utility companies

Description

The dataset consists of 123 American electric utility companies. As in the set-up of Gijbels et al. (1999), we used the measurements of the variables \(y_i = \log(q_i)\) and \(x_i = \log(c_i)\), where \(q_i\) is the production output of the company \(i\) and \(c_i\) is the total cost involved in the production. For a detailed description and analysis of these data see, e.g., Christensen and Greene (1976) and Greene (1990).

Usage

data(green)

Format

A data frame with 123 observations on the following 2 variables.

COST

a numeric vector.

OUTPUT

a numeric vector.

References

Christensen, L.R. and Greene, W.H. (1976). Economies of Scale in U.S. Electric Power Generation, Journal of Political Economy, University of Chicago Press, 84, 655-76.

Gijbels, I., Mammen, E., Park, B.U. and Simar, L. (1999). On estimation of monotone and concave frontier functions. Journal of American Statistical Association, 94, 220-228.

Greene, W.H. (1990). A Gamma-distributed stochastic frontier model, Journal of Econometrics, 46, 141-163.

Examples

# NOT RUN {
data("green")
# }