In this paper the theory of the directional technology distance function is extended by deriving a set of restrictions on the first and second derivatives of the directional technology distance functions. These restrictions would be useful in building an econometric model based on the directional technology distance function. In a second application, it is shown that the usual comparative static results for a competitive firm are easily established
Directional distance functions provide very flexible tools for investigating the performance of Deci...
The reverse directional distance function, shortly RDDF, is a relatively recent concept introduced b...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received grea...
Shephard (1953, 1970,1974)introduced radial distance functions as representations of a firm’s techno...
Shephard’s distance functions are widely used instruments for characterizing technology and for esti...
A substantial literature has dealt with the problem of estimating multiple-input and multiple-output...
Various distance functions, defined as different optimization problems with respect to a technology ...
In this paper we introduce a scale elasticity measure based on directional distance function for mul...
In productivity analysis, the performance of production units is measured through the distance of th...
The birth of the directional distance function as an inefficiency measure was linked to the consumer...
In productivity analysis, the performance of production units is measured through the distance of th...
2 Shephard’s distance functions are widely used instruments for characterizing technology and for es...
The purpose of this note is to provide new insights on the sensitivity of technical inefficiency sco...
Directional distance functions provide very flexible tools for investigating the performance of Deci...
In Solow’s model the income convergence between countries arises from two main sources: a capital de...
Directional distance functions provide very flexible tools for investigating the performance of Deci...
The reverse directional distance function, shortly RDDF, is a relatively recent concept introduced b...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received grea...
Shephard (1953, 1970,1974)introduced radial distance functions as representations of a firm’s techno...
Shephard’s distance functions are widely used instruments for characterizing technology and for esti...
A substantial literature has dealt with the problem of estimating multiple-input and multiple-output...
Various distance functions, defined as different optimization problems with respect to a technology ...
In this paper we introduce a scale elasticity measure based on directional distance function for mul...
In productivity analysis, the performance of production units is measured through the distance of th...
The birth of the directional distance function as an inefficiency measure was linked to the consumer...
In productivity analysis, the performance of production units is measured through the distance of th...
2 Shephard’s distance functions are widely used instruments for characterizing technology and for es...
The purpose of this note is to provide new insights on the sensitivity of technical inefficiency sco...
Directional distance functions provide very flexible tools for investigating the performance of Deci...
In Solow’s model the income convergence between countries arises from two main sources: a capital de...
Directional distance functions provide very flexible tools for investigating the performance of Deci...
The reverse directional distance function, shortly RDDF, is a relatively recent concept introduced b...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received grea...