Stochastic frontier analysis:
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2000
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBG01 Volltext |
| Zusammenfassung: | Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (x, 333 pages) |
| ISBN: | 9781139174411 |
| DOI: | 10.1017/CBO9781139174411 |
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Datensatz im Suchindex
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| author | Kumbhakar, Subal |
| author_facet | Kumbhakar, Subal |
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| author_variant | s k sk |
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| dewey-full | 338 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
| dewey-raw | 338 |
| dewey-search | 338 |
| dewey-sort | 3338 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9781139174411 |
| format | Electronic eBook |
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| id | DE-604.BV043924583 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:38:43Z |
| institution | BVB |
| isbn | 9781139174411 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029333662 |
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| publishDate | 2000 |
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| publisher | Cambridge University Press |
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| spelling | Kumbhakar, Subal Verfasser aut Stochastic frontier analysis Subal C. Kumbhakar, C.A. Knox Lovell Cambridge Cambridge University Press 2000 1 online resource (x, 333 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis Production (Economic theory) Stochastic analysis Econometrics Produktionstheorie (DE-588)4121520-5 gnd rswk-swf Produktion (DE-588)4047347-8 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Stochastische Analysis (DE-588)4132272-1 gnd rswk-swf Produktion (DE-588)4047347-8 s Ökonometrie (DE-588)4132280-0 s Stochastische Analysis (DE-588)4132272-1 s 1\p DE-604 Produktionstheorie (DE-588)4121520-5 s 2\p DE-604 Lovell, C. A. Knox Sonstige oth Erscheint auch als Druckausgabe 978-0-521-48184-7 Erscheint auch als Druckausgabe 978-0-521-66663-3 https://doi.org/10.1017/CBO9781139174411 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kumbhakar, Subal Stochastic frontier analysis Production (Economic theory) Stochastic analysis Econometrics Produktionstheorie (DE-588)4121520-5 gnd Produktion (DE-588)4047347-8 gnd Ökonometrie (DE-588)4132280-0 gnd Stochastische Analysis (DE-588)4132272-1 gnd |
| subject_GND | (DE-588)4121520-5 (DE-588)4047347-8 (DE-588)4132280-0 (DE-588)4132272-1 |
| title | Stochastic frontier analysis |
| title_auth | Stochastic frontier analysis |
| title_exact_search | Stochastic frontier analysis |
| title_full | Stochastic frontier analysis Subal C. Kumbhakar, C.A. Knox Lovell |
| title_fullStr | Stochastic frontier analysis Subal C. Kumbhakar, C.A. Knox Lovell |
| title_full_unstemmed | Stochastic frontier analysis Subal C. Kumbhakar, C.A. Knox Lovell |
| title_short | Stochastic frontier analysis |
| title_sort | stochastic frontier analysis |
| topic | Production (Economic theory) Stochastic analysis Econometrics Produktionstheorie (DE-588)4121520-5 gnd Produktion (DE-588)4047347-8 gnd Ökonometrie (DE-588)4132280-0 gnd Stochastische Analysis (DE-588)4132272-1 gnd |
| topic_facet | Production (Economic theory) Stochastic analysis Econometrics Produktionstheorie Produktion Ökonometrie Stochastische Analysis |
| url | https://doi.org/10.1017/CBO9781139174411 |
| work_keys_str_mv | AT kumbhakarsubal stochasticfrontieranalysis AT lovellcaknox stochasticfrontieranalysis |