On the Commensurability of Directional Distance Functions
AbstractShephard’s distance functions are widely used instruments for characterizing technology and for estimating efficiency in contemporary economic theory and practice. Recently, they have been generalized by the Luenberger shortage function, or Chambers-Chung-Färe directional distance function. In this study, we explore a very important property of an economic measure known as commensurability or independence of units of measurement up to scalar transformation. Our study discovers both negative and positive results for this property in the context of the directional distance function, which in turn helps us narrow down the most critical issue for this function in practice—the choice of direction of measurement.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 7068.
Date of creation: 2005
Date of revision:
Directional distance functions; commensurability; efficiency;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Robert Russell, R., 1990. "Continuity of measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 51(2), pages 255-267, August.
- Bol, Georg, 1986. "On technical efficiency measures: A remark," Journal of Economic Theory, Elsevier, vol. 38(2), pages 380-385, April.
- Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
- Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
- Luenberger David G., 1994. "Optimality and the Theory of Value," Journal of Economic Theory, Elsevier, vol. 63(2), pages 147-169, August.
- Cherchye, Laurens & Van Puyenbroeck, Tom, 2009. "Semi-radial technical efficiency measurement," European Journal of Operational Research, Elsevier, vol. 193(2), pages 616-625, March.
- Laurens Cherchye & Timo Kuosmanen & Hervé Leleu, 2010.
"Technical and Economic Efficiency Measures Under Short Run Profit Maximizing Behavior,"
Recherches économiques de Louvain,
De Boeck Université, vol. 76(2), pages 163-173.
- Laurens Cherchye & Timo Kuosmanen & Hervé Leleu, 2010. "Technical and Economic Efficiency Measures under Short Run Profit Maximizing Behavior," Discussion Papers (REL - Recherches Economiques de Louvain) 2010022, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Laurens Cherchye & Timo Kuosmanen & Hervé Leleu, 2008. "Technical and economic efficiency measures under short run profit maximizing behavior," Working Papers 2008-ECO-05, IESEG School of Management.
- R. Robert Russell & William Schworm, 2009. "Axiomatic Foundations of Inefficiency Measurement on Space," Discussion Papers 2009-07, School of Economics, The University of New South Wales.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.