Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Bias Free Measurement of Technical Efficiency

Simple item page
dc.contributor.authorBhide, Shashanka
dc.contributor.authorKalirajan, Kaliappa
dc.date.accessioned2015-12-07T22:52:28Z
dc.date.issued2006
dc.date.updated2015-12-07T12:29:34Z
dc.description.abstractTechnical efficiency, which is a measure of production performance of a firm, has been estimated generally using a primal production frontier. Since the estimation is carried out for a given level of inputs, the efficiency measure includes the effect of 'input-mix' or 'input-allocation' and consequently, the technical efficiency estimate is biased. The objectives of this paper are to gauge the magnitude of 'input-mix' bias in technical efficiency estimate and to suggest a method to measure technical efficiency eliminating the bias. The workability of the suggested method is demonstrated through an empirical analysis using agricultural data from India covering the period 1970-1993.
dc.identifier.issn1360-0532
dc.identifier.urihttp://hdl.handle.net/1885/27444
dc.publisherRoutledge, Taylor & Francis Group
dc.sourceJournal of Applied Statistics
dc.subjectKeywords: Frontier production function; India; Input-mix bias; Technical efficiency
dc.titleBias Free Measurement of Technical Efficiency
dc.typeJournal article
local.bibliographicCitation.issue5
local.bibliographicCitation.lastpage533
local.bibliographicCitation.startpage523
local.contributor.affiliationKalirajan, K P, College of Asia and the Pacific, ANU
local.contributor.affiliationBhide, Shashanka, National Council of Applied Economic Research
local.contributor.authoruidKalirajan, K P, u8801464
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor160510 - Public Policy
local.identifier.ariespublicationu4298648xPUB51
local.identifier.citationvolume33
local.identifier.doi10.1080/02664760600585592
local.identifier.scopusID2-s2.0-33646516594
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Kalirajan_Bias_Free_Measurement_of_2006.pdf
Size:
110.13 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS