2 edition of Measurement of economic efficiency using the behavioural and stochastic frontier approach found in the catalog.
Measurement of economic efficiency using the behavioural and stochastic frontier approach
1993 by School of Economic and Social Studies, University of East Anglia in Norwich .
Written in English
|Statement||by Farman Ali, Ashok Parikh and Mir Kalan Shah.|
|Series||Discussion paper / Economics Research Centre, University of East Anglia -- no.9302|
|Contributions||Parikh, Ashok, 1936-, Shar, MirKalan.|
Course Descriptions, /20 Term. Fall. Econ a. General Economic Theory: Microeconomics Stochastic dynamic programming with applications to macroeconomics. Advanced topics in consumption. We will start with a very simple version of the model and discuss briefly how this approach was born in the economic literature. Part Two presents applications of behavioural economics including nudging; heuristics; emotions and morality; behavioural political economy, education, and economic innovation. The Routledge Handbook of Behavioral Economics is ideal for advanced economics students and faculty who are looking for a complete state-of-the-art overview of this. • “Measurement of Technical and Economic Efficiency of Agriculture and Tourism Sector in the Region of Crete,” Regional Development Plan of Crete, Coordinator, • “Environmental Policy and the Competitiveness of Greek Industry,” Ministry for Industry and Energy, Greece, Coordinator,
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(). 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.
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. 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: The Government of Ghana has been implementing various health sector reforms (e.g.
user fees in public health facilities, decentralization, sector-wide approaches to donor coordination) in a bid to improve efficiency in health care. However, to date, except for the pilot study reported in this paper, no attempt has been made to make an estimate of the efficiency.
Multi-criteria decision analysis (MCDA) concepts, models and tools have been used increasingly in health technology assessment (HTA), with several studies pointing out practical and theoretical issues related to its use.
This study provides a critical review of published studies on MCDA in the context of HTA by assessing their methodological quality and Cited by: 2. Improving the health status of people in low-income countries is a very important human goal which has been on the global agenda for a long time .However, for many years the transfer of financial funds was regarded as a sufficient strategy to safeguard that health services provide effective health care [2, 3].The efficient utilization of these funds was strongly Cited by: Abstract.
Port efficiency is a significant element that stimulates port competitiveness and enhances regional development. With increasing international maritime traffic and changing technology in the maritime transport sector, containerisation and enhanced logistic activities, infrastructure might be one of the main determining factors of port competition (Merk & Dang, Author: Mohi-Eldin Elsayeh.
STOCHASTIC FRONTIER ANALYSIS OF SINGAPORE MANUFACTURING INDUSTRIES pp. Soo-Wei Koh, Shahidur Rahman and G. Randolph Tan RISK MEASUREMENT OF INVESTMENTS IN THE SATELLITE RING OF A CORE-SATELLITE PORTFOLIO: TRADITIONAL VERSUS ALTERNATIVE APPROACHES pp.
Hilary Till BOOK. The upper and lower bound evaluation based on the quantile efficiency in stochastic data envelopment analysis Expert Systems with Applications, Vol.
85 Entropic Data Envelopment Analysis: A Diversification Approach for Portfolio OptimizationCited by: Jean‐Pascal Bassino and Thomas Lagoarde‐Segot, Informational efficiency in the Tokyo Stock Exchange, –40, The Economic History Review, 68, 4, (), ().
Wiley Online Library Haibin Xie, Kuikui Fan and Shouyang Wang, The role of Japanese Candlestick in DVAR model, Journal of Systems Science and Complexity, 28, 5, ( Cited by:. Goal programming: Pareto optimality, soft constraints, identifying the efficient frontier, and duality and sensitivity analysis.
Data envelopment analysis: relative efficiency measurements, DEA model and analysis, graphical representation, and dual DEA model. Agent based modeling: complex adaptive systems, emergent structures and dynamic behaviors. The optimality condition (6) states that the instantaneous profit on the left-hand side must equal the appropriately discounted liquidation value (δ ′ L) , times a multiple (β 2 β 2 − 1 1 − k) , which is lower than on shows that the exit trigger price decreases in efficiency is, more efficient farms have a comparatively lower exit trigger price than less Cited by: 5.Forecasting GDP all over the world using leading indicators based on comprehensive survey data pp.
Johanna Garnitz, Robert Lehmann and Klaus Wohlrabe On the efficiency of racetrack betting market: a new test for the favourite-longshot bias pp. Jinook Jeong, Jee Young Kim and Yoon Jae Ro.