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Efficiency Estimates (efficiency + estimate)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	75%

Selected Abstracts

How much confidence should we place in efficiency estimates?

HEALTH ECONOMICS, Issue 11 2003
Andrew StreetArticle first published online: 3 DEC 200
Abstract Ordinary least squares (OLS) and stochastic frontier (SF) analyses are commonly used to estimate industry-level and firm-specific efficiency. Using cross-sectional data for English public hospitals, a total cost function based on a specification developed by the English Department of Health is estimated. Confidence intervals are calculated around the OLS residuals and around the inefficiency component of the SF residuals. Sensitivity analysis is conducted to assess whether conclusions about relative performance are robust to choices of error distribution, functional form and model specification. It is concluded that estimates of relative hospital efficiency are sensitive to estimation decisions and that little confidence can be placed in the point estimates for individual hospitals. The use of these techniques to set annual performance targets should be avoided. Copyright © 2002 John Wiley & Sons, Ltd. [source]

BANK COMPETITION, CONCENTRATION AND EFFICIENCY IN THE SINGLE EUROPEAN MARKET,

THE MANCHESTER SCHOOL, Issue 4 2006
BARBARA CASU
The deregulation of financial services in the European Union (EU), together with the establishment of the Economic and Monetary Union, aimed at the creation of a level playing-field in the provision of banking services across the EU. The plan was to remove entry barriers and to foster both competition and efficiency in national banking markets. However, one of the effects of the regulatory changes was to spur a trend towards consolidation, resulting in the recent wave of mergers and acquisitions. To investigate the impact of increased consolidation on the competitive conditions of the EU banking markets, we employ both structural (concentration ratios) and non-structural (Panzar,Rosse statistic) concentration measures. Using bank-level balance sheet data for the major EU banking markets, in a period following the introduction of the Single Banking Licence (1997,2003), this paper also investigates the factors that may influence the competitive conditions. Specifically, we control for differences in efficiency estimates, structural conditions and institutional characteristics. The results seem to suggest that the degree of concentration is not necessarily related to the degree of competition. We also find little evidence that more efficient banking systems are also more competitive. The relationship between competition and efficiency is not a straightforward one: increased competition has forced banks to become more efficient but increased efficiency does not seem to be fostering more competitive EU banking systems. [source]

Comparison of Economic Efficiency Estimation Methods: Parametric and Non,parametric Techniques

THE MANCHESTER SCHOOL, Issue 5 2002
Hsin Huang
We employ a wide range of parametric and non,parametric cost frontiers' efficiency estimation methods to estimate economic efficiency and economies of scale, using the same panel data of 22 Taiwanese commercial banks over the period 1982,97. According to our empirical implementation, the two methodologies yield similar average efficiency estimates, yet they come to very dissimilar results pertaining to the efficiency rankings, the stability of measured efficiency over time, the consistency between frontier efficiency and conventional performance measures, and the estimates of scale economies. Thus, the choice of an estimation approach can result in very different conclusions and policy implications regarding cost efficiencies and cost economies. These findings suggest that making policy decisions and evaluations relies on multiple techniques and specifications. [source]

Technical Inefficiency and Production Risk in Rice Farming: Evidence from Central Luzon Philippines,

ASIAN ECONOMIC JOURNAL, Issue 1 2006
Renato Villano
Q12; C13 There have been many previous studies of technical inefficiency in rice production in the Philippines, but none has focused simultaneously on production risk and technical inefficiency at the farm level. Rice production is inherently risky because of the heterogeneous production environment. In this study, we analyze technical inefficiency in a rainfed lowland rice environment in Central Luzon using a stochastic frontier production function with a heteroskedastic error structure. An 8-year panel dataset collected from 46 rainfed rice farmers was used to estimate flexible functional specifications. Over the whole period, the average technical efficiency was found to be 79 percent. Results indicate that there is a high degree of variability in technical efficiency estimates, which can be attributed to the instability of farming conditions in the rainfed lowland environment. Mean output was signifificantly influenced by area planted to rice, labor and the amount of fertilizer used. Consequently, these inputs were found to be risk-increasing, whereas herbicide was found to be a risk-reducing input. [source]