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Productivity Issues in Services at the Micro Level

Name: Productivity Issues in Services at the Micro Level
Brand: Springer
SKU: 9789401049757
Price: 157.6 EUR
Availability: InStock

A Special Issue of the Journal of Productivity Analysis

Автор: Zvi Griliches, Jacques Mairesse

Език:

Корици: С меки корици

Издател: Springer

Наличност: Външен склад

Изпращаме след 5-8 дни

157.60 € 308.24 лв

7 take advantage of the panel structure of their data to control for possible errors of specifica ti...

Информация за книгата

Автор

Zvi Griliches, Jacques Mairesse

Език

Английски език

Корици

Книга - С меки корици

Издадена

2012

страници

230

EAN

9789401049757

ISBN

9789401049757

Enbook ID

06618386

Издател

Springer

Теглоt

384

Размери

160 x 240 x 13

Пълно описание

7 take advantage of the panel structure of their data to control for possible errors of specifica tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.

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Productivity Issues in Services at the Micro Level

A Special Issue of the Journal of Productivity Analysis

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