By Subal Kumbhakar and C. Lovell; Abstract: Stochastic Frontier Analysis. Subal Kumbhakar ([email protected]) and C. Lovell. in Cambridge Books from. Later, Kumbhakar and Lovell () provide a further detailed explanation. . Stochastic Frontier Analysis (SFA) is a family of methods in this category. The only exception is hospital beds (BEDS = ). Since it is an indicator of capital stock, it should have a negative sign (see Kumbhakar and Lovell, ).

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ComiXology Thousands of Digital Comics. English Choose a language for shopping. Don’t have a Kindle? Amazon Rapids Fun stories for kids on the go. Amazon Inspire Digital Educational Resources. There are a ana,ysis of good books kumbhakae productivity analysis, an extremely practical topic in academia and industry. Would you like to tell us about a lower price? This is such a book. The layout is remarkably well thought out and the methodology and estimators are clearly and rigorously teased out from a variety of sources, handily compiled into this one remarkable book.

One excellent feature of this book is that the theory is well labelled, so that in two minutes, you can find the topic you want.

Amazon Drive Cloud storage from Amazon. Great summary of the subject. For instance, if you are an engineer, you can profit from modeling using different distribution assumptions about the nature of your productivity differentials.


Amazon Renewed Refurbished products povell a warranty. There is something here for anyone and everyone interested in stochastic frontiers and you will NOT be disappointed by this book. Lovell is one of the founders of SFA. If you are an economist, you are less enthusiastic about the rigidity of a frontier analysis.

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Indeed, it is my favorite book in the field. How to make farming and agricultural extension more nutrition-sensitive: An Introduction to Efficiency and Productivity Analysis. Write a customer review.

Read more Read less. Related articles in Google Scholar. The book is not a user guide or textbook: 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.


Page 1 of 1 Start over Page 1 of 1. You will be able to find your way whether you’ve never used stochastic frontiers before or have done even advanced models of these production functions.

All concepts in this book are so clear and easy to understand. Customers who bought this item also bought.

EconPapers: Stochastic Frontier Analysis

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Stochastic Frontier Analysis

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It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide. I learned a lot from this book and it is a great book to have in the library for those who work on SFA.