green: American electric utility companies

In npbr: Nonparametric Boundary Regression

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.

Source

Gijbels et al. (1999).

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

data("green")

npbr documentation built on March 31, 2023, 7:45 p.m.