Get An Introduction to Efficiency and Productivity Analysis PDF

By Tim Coelli

ISBN-10: 0792380622

ISBN-13: 9780792380627

ISBN-10: 1461554934

ISBN-13: 9781461554936

An advent to potency and productiveness Analysis is designed as a primer for somebody looking an authoritative advent to potency and productiveness research. it's a systematic remedy of 4 really new methodologies in Efficiency/Production research: (a) Least-Squares Econometric creation types, (b) overall issue productiveness (TFP) Indices, (c) information Envelopment research (DEA), and (d) Stochastic Frontiers. every one procedure is mentioned completely. First, the elemental components of every procedure are mentioned utilizing versions to demonstrate the method's basics, and, moment, the dialogue is improved to regard the extensions and forms of every one method's makes use of. eventually, a number of case stories are supplied as an entire representation of ways every one method can be utilized. furthermore, all 4 methodologies can be associated within the book's presentation by means of analyzing the benefits and downsides of every strategy and the issues to which every strategy could be so much certainly utilized. The e-book deals the 1st unified textual content presentation of equipment that might be of use to scholars, researchers and practitioners who paintings within the turning out to be quarter of Efficiency/Productivity research.
The ebook additionally offers exact suggestion on computing device courses that are used to calculate a number of the measures. This contains a few displays of desktop directions and output listings for the SHAZAM, TFPIP, DEAP and FRONTIER laptop courses.

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Extra resources for An Introduction to Efficiency and Productivity Analysis

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54 CHAPTER 3 As noted earlier, this is not a problem because all of the key measures, such as technical change, substitution elasticities and the total elasticity of production, can still be derived. 2 Some Estimation Issues This section could be very long, but we will limit ourselves to a few points. The first point relates to exogeneity of regressors and simultaneous equation bias. ) represents the functional form, ~ is a vector of parameters to be estimated, and v is an appended error term, which is usually assumed to be independently and identically distributed with mean 0 and variance d-.

36 CHAPTER 2 second-order approximation, we usually introduce both t and f into the equation to obtain Iny = bo + bllnxl + b21nx2 + b12 lnxllnX2 + {l/2)[bl1(lnxli + b22(lnx2il + btt + btl. 51 with respect to t: bt+2tbtt • This value will vary for different values oft. It will decrease over the sample period ifhu is negative and increase ifit is positive. These production functions can be easily estimated using any number of computer packages. We utilise the SHAZAM econometrics package (White, 1993) to illustrate a few things in this book.

This functional form would hopefully be: 1. sufficiently flexible so that it can accommodate various production structures; and 2. satisfy the properties discussed in the previous section (or permit the imposition of these properties through the application of appropriate constraints). These two objectives are often in conflict. The imposition of constraints upon a flexible functional form to achieve appropriate theoretical properties can subsequently reduce the flexibility of many popular flexible functional forms (see Diewert and Wales, 1987).

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An Introduction to Efficiency and Productivity Analysis by Tim Coelli


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