Description Usage Arguments Details Value Author(s) References See Also Examples

Solve the Cost Minimization Probem with Given Input Prices

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`base` |
A data set for DMUs to be evaluated. A data frame with J1*(M+N) dimention, where J1 is the number of DMUs, M for the number of inputs, and N for the number of outputs. |

`frontier` |
A data set for DMUs to be used in constructing a production possibility set (PPS). A data frame with J2*(M+N) dimention, where J2 is the number of DMUs, M for the number of inputs, and N for the number of outputs. |

`noutput` |
The number of outputs (M). |

`input.price` |
A vector for market prices of input factors. |

The cost minimization problem under the CRS assumption is calculated. For model specification, take a look at Cooper et al. (2007).

A data frame with J1*(M+6), which has optimal M input factors, minimized cost when overally efficient, minimized cost when technically-efficient, revealed cost, overall efficiency, allocative efficiency, and technical efficiency.

Dong-hyun Oh, [email protected]

Cooper, W., Seiford, L. and Tone, K. (2007). *Data envelopment
analysis: a comprehensive text with models, applications, references
and DEA-solver software* (2nd ed.). Springer Verlag, New York.

Lee, J. and Oh, D. (forthcoming). *Efficiency Analysis: Data
Envelopment Analysis*. Press (in Korean).

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nonparaeff documentation built on May 30, 2017, 3:07 a.m.

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