Measurement of economic efficiency using the behavioural and stochastic frontier approach
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School of Economic and Social Studies, University of East Anglia , Norwich
|Statement||by Farman Ali, Ashok Parikh and Mir Kalan Shah.|
|Series||Discussion paper / Economics Research Centre, University of East Anglia -- no.9221|
|Contributions||Parikh, Ashok, 1936-, Shar, MirKalan.|
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Description Measurement of economic efficiency using the behavioural and stochastic frontier approach FB2
(). Measurement of profit efficiency using behavioural and stochastic frontier approaches. Applied Economics: Vol.
26, No. 2, pp. Cited by: Measurement of Economic Efficiency in Pakistani Agriculture on a stochastic cost frontier approach confirms the results of the behavioral approach. This paper employs the stochastic meta-frontier approach to measure technical efficiency and to investigate the effects of farm size on the technical efficiency in China's broiler sector.
Studies of efficiency, based on a non-parametric production model or on stochastic parametric specifications, have for a long time been an active strand of research documented by numerous papers published in a range of different journals in economics and operational research.
The fundamental approach for measuring efficiency is to use as a. These studies always used stochastic frontier method or other parametric methods.
If the latter was used, control variables either entered the (in)efficiency component (using stochastic frontier method—we labelled this Approach 2a) or were included as covariates in the second-stage regression (Approach 2b).Author: Alice Tran, Kim-Huong Nguyen, Len Gray, Tracy Comans.
This book, however, is the first systematic survey of performance measurement with the express purpose of introducing the field to a wide audience of students, researchers, and practitioners. Indeed, the 2nd Edition maintains its uniqueness: (1) It is a well-written introduction to the field.
References  Ali, F., Parikh, A. and Shah, M K.(). Measurement of Economic Efficiency using the Behavioural and Stochastic Frontier Size: KB. This book examines some of the most important techniques currently available to measure the efficiency of systems and organizations, including data envelopment analysis and stochastic frontier analysis, and also presents some promising new methodological by: Author(s): Battese, G E & Coelli, T J.
Abstract: A stochastic frontier production function is defined for panel data on firms, in which the non-negative technical inefficiency effects are assumed to be a function of firm-specific variables and time. The inefficiency effects are assumed to be independently distributed as truncations of normal distributions with constant variance.
The measurement of cost efficiency is usually accomplished by using parametric stochastic frontier (SF) methods or nonparametric Data Envelopment Analysis (DEA). Parametric estimation of the stochastic frontier needs a behavioural hypothesis for cost by: The dairy industry in Kenya is an important source of livelihood among the smallholder farmers who supply over 70% of the total milk.
However, there is a growing concern on rising costs of milk production among farmers. The study assessed profit efficiency of smallholder dairying in the Rift Valley and Central Provinces of Kenya using stochastic frontier analysis for estimating farm Cited by: 2.
The Data Envelopment Analysis (DEA) method has been fruitfully used in many countries in Asia, Europe and North America to shed light on the efficiency of health facilities and programmes. There is, however, a dearth of such studies in countries in sub-Saharan Africa. Since hospitals and health centres are important instruments in the efforts to scale up pro-poor Cited by: Measuring plant level energy efficiency and technical change in the U.S.
metal-based durable manufacturing sector using stochastic frontier analysis Gale A. Free Online Library: A New Perspective: Investment and Efficiency under Incentive Regulation.(Report, Statistical data) by "The Energy Journal"; Business Petroleum, energy and mining Economics Electric utilities Economic aspects Investments Laws, regulations and rules Energy efficiency Global economy Forecasts and trends.
Alan is co-author of A Practitioner’s Guide to Stochastic Frontier Analysis using Stata with S. Kumbhakar and H.-J. Wang, published by Cambridge University Press in The book provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the econometric approach, stochastic frontier.
Evans, "'Behavioural' Cost Functions for Hospitals," Canadian Journal of Economics, Canadian Economics Association, vol. 4(2), pagescharyya, Arunava & Harris, Thomas R.
& Narayanan, Rangesan & Raffiee, Kambiz, "Specification and estimation of the effect of ownership on the economic efficiency of the water utilities," Regional.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement.
Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Kumar () investigated the efficiency measurement of Indian Sugar Manufacturing firms using the DEA approach.
DEA was used to calculate the technical and scale efficiency measures of the public and private sugar manufacturing firms of the Indian sugar industry ( to ). Using data from –, a translog production frontier is estimated.
Following a conceptual framework popularised by Bauer (), productivity growth is decomposed into components arising from technical progress, technical efficiency change, a scale economies effect and an allocative inefficiency effect. Cost efficiency frontier. The Stochastic Frontier Analysis (SFA) proposed by Aigner et al.
() is used to calculate measures of cost and profit efficiencies for each bank in the sample. This approach uses a parametric technique to estimate the characteristics of a best-practice bank from the cost by: Measuring the performance of public agencies and programmes is essential to ensure that citizens enjoy quality services and that governments can be sure that taxpayers receive value for money.
As such, good performance measurement is a crucial component of improvement and planning, monitoring and control, comparison and benchmarking and also Cited by: If you have a credit card or a registered PayPal account, we strongly encourage you to pay the fee through PayPal. PayPal enables users, whether or not they are PayPal members, to use all major credit cards, including Visa, Mastercard, Discover, and American Express.
PayPal is fast, secure, and free. This article systematically reviews articles, which use the frontier efficiency methods of data envelopment analysis and stochastic frontier analysis and include quality dimensions to assess the efficiency of service providers.
Download Measurement of economic efficiency using the behavioural and stochastic frontier approach PDF
In detail, the goal is to categorize the papers according to 1. the methodological approach (DEA vs. SFA) 2. On the other hand, empirical applications to frontier techniques analysing the efficiency of firms can also be considered as performance measurement (Baten and Kamil, ).
Data Envelopment Analysis and Stochastic Frontier Analysis The most popular methods used in efficiency analysis today are extensions of the work carried out by Farrell.
This third edition of Anthony Culyer’s authoritative The Dictionary of Health Economics brings the material right up to date as well as adding plentiful amounts of new information, with a number of revised definitions.
All health care systems are looking for ways to improve efficiency as they come under increasing pressure to control the growth in health care expenditure.
To support sound decision-making, the use of efficiency metrics in assessing and evaluating system reform and policy interventions is critical. However, the use of robust evidence and, more specifically, the use of efficiency Author: Charlesworth, Spencelayh, Cylus.
Environmental efficiency of small-scale tea processors in Kenya: an inverse data envelopment analysis (DEA) approach. Gatimbu, K. K., Ogada, M.
Details Measurement of economic efficiency using the behavioural and stochastic frontier approach EPUB
J., & Budambula, N. Environmental efficiency of small-scale tea processors in Kenya: an inverse data envelopment analysis (DEA) approach. Environment, Development and Sustainability, (). Efficiency Estimation Using the Stochastic Production Frontier Approach: Evidence from the National Rugby League,” Discussion Paper.
Efficiency Measurement Using a Latent Class Stochastic Frontier Model,” Working paper. ().Author: Qian Yang. This article analyses the status and trends of the European Union (EU) residential energy consumption in light of the energy consumption targets set by the EU and energy and climate strategies.
It assesses the energy efficiency progress from tousing the official Eurostat data. Inthe residential energy consumption amounted to % of the Cited by: 9. Economic Studies (School of Business), has a reputation for research excellence, having hosted talented academics including the Economics Nobel Prize winner – Ronald Coase.
Research conducted by the department is diverse, but with focus around empirical and policy-oriented content. The department also has a history of good PhD placements. The department. The approach using panel data is an evaluation method that uses unobserved firm-specific effects based on panel analysis.
Our model first estimates production function using panel analysis, and then develops cost function using a duality approach. Next, we discount added value and costs resulting from intangible assets using fixed effects.About Kevin Pleas e visit Kevin Fox's personal webpage.
Kevin Fox works primarily in the field of economic measurement, with a focus on productivity and prices. He joined the School in and served as Head of School for five years, To explore the efficiency of the firms in our sample we adapt the stochastic frontier production function model of Aigner et al., the ALS model: 4 (8) where y it is the natural log output of firm i in year t, f (x it) is a conventional production function, v it are production shocks with distribution N (0, σ 2 v), and u it are firm Cited by:
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