Data Envelopment Analysis Models of Investment Funds

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Adjustment of Inputs and Measurement of Technical Efficiency: A Dynamic Panel Data Analysis of the Egyptian Manufacturing Sectors

The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the sluggish adjustment of inputs, to measure the speed of adjustment of output, and to compare the technical efficiency estimates from this dynamic model to those from a static model. By assuming instantaneous adjustment of all inputs, a static model may underestimate technical efficiency of a production unit in the short-run. However, in this paper I show that under the assumption of similar adjustment speed for all inputs, a linear partial adjustment scheme for output characterizes the dynamic production frontier. The dynamic frontier with time-invariant technical efficiency is estimated using the system GMM (generalized method of moments) estimator. Applying the model and estimation method on a panel dataset spanning nine years of data on private manufacturing establishments in Egypt, I find that 1) the speed of adjustment of output is significantly lower than unity, 2) the static model underestimates technical efficiency by 4.5 percentage points on average, and 3) the ranking of production units based on their technical efficiency measures changes when the lagged adjustment process of inputs is taken into account.

Measuring and explaining farm inefficiency in a panel data set of mixed farms

This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific costs and overhead costs are introduced into the model as inputs. Stochastic frontier estimates are compared with those obtained using a linear programming method using a two-stage approach. The specification of the translog stochastic frontier model appears as an appropriate representation of the data, technical change was rejected and the technical inefficiency effects were statistically significant. The mean technical efficiency in the period analyzed was estimated to be 64.0%. Farm inefficiency levels were found significantly at 5% level and positively correlated with the number of economic size units.Technical efficiency, stochastic frontier approach, agricultural economics, frontier productions, farm efficiency

The Impact of Privatisation on the Efficiency of Train Operation in Britain

Twenty-five train operating companies (TOCs) were created between 1994-1997, as part of the restructuring process of the railway industry in Great Britain. The TOCs operate monopoly franchises for the provision of passenger rail services over certain routes - some of which continue to receive government subsidies. This paper investigates how the efficiency of these train operating companies evolved prior to the October 2000 Hatfield crash (which caused significant disruption to the network) using data envelopment analysis and stochastic frontier analysis. Our data allows us to look at the relative efficiency and productivity through the privatisation, to control the efficiency scores for environmental data and to correlate these results with safety and quality indicators. The analysis sheds some light on the successes and failures of the UK’s most controversial privatisation to date.Railways, Comparative Efficiency, Data Envelopment Analysis, Stochastic Frontier Analyisis, Malmquist Productivity Index, Train Operating Companies, Privatisation

Measuring Performance in Primary Care: Econometric Analysis and DEA

We use data from the Health Service Indicators database to compare different methods of measuring the performance of English Family Health Services Authorities (FHSAs) in providing primary care. A variety of regression and data envelopment analysis methods are compared as summary efficiency measures of individual FHSA performance. The correlation of the rankings of FHSAs across DEA and regression methods, across two years of data and across three different specifications of the technology of primary care are examined. Efficiency scores are highly correlated within variants of the two methods, and across years for a given method. Inter method correlations are smaller and correlations across different specifications of the primary care production process are negligible and sometime negative.primary care, efficiency measurement, DEA, stochastic frontier.

The Use of Parametric and Non Parametric Frontier Methods to Measure the Productive Efficiency in the Industrial Sector. A Comparative Study

Parametric frontier models and non-parametric methods have monopolised the recent literature on productive efficiency measurement. Empirical applications have usually dealt with either one or the other group of techniques. This paper applies a range of both types of approaches to an industrial organisation setup. The joint use can improve the accuracy of both, although some methodological difficulties can arise. The robustness of different methods in ranking productive units allows us to make an comparative analysis of them. Empirical results concern productive and market demand structure, returns-to-scale, and productive inefficiency sources. The techniques are illustrated using data from the US electric power industry.Productive efficiency; parametric frontiers; DEA; industrial sector

Output Growth Decomposition in the Presence of Input Quality Effects: A Stochastic Frontier Approach

How do physical capital accumulation and total factor productivity (TFP) individually add to economic growth? We approach this question from the perspective of the quality of physical capital and labor, namely the age of physical capital and human capital. We build a unique dataset by explicitly calculating the age of physical capital for each country and each year of our time frame and estimate a stochastic frontier production function incorporating input quality in five regions of countries (Africa, East Asia, Latin America, South Asia and West). Physical capital accumulation generally proves much more important than either the improved quality of factors or TFP growth in explaining output growth. The age of capital decreases growth in all regions except in Africa, while human capital increases growth in all regions except in East Asia

A Benchmarking Exercise on Latin American Water Util

The aim of this study is to estimate both stochastic and mathematical programming cost functions and frontier studies with the ADERASA’s database. ADERASA is a Latin American association of water regulators, which has done a systematic effort on data collection. Econometric and DEA techniques were employed here. This study fills a gap on the understanding of relative efficiency in the Latin American water sector., through a consistent database. Firstly we present a survey of the empirical literature related with cost and production frontiers in the water and sanitation sector. The survey shed light in order to determine the variables to choose in the models to be estimated. Secondly, some models were estimated, differing each other on the specification, and the environmental variables included. The results are satisfactory, with the expected signs and plausible values for the coefficients. Some consistency between methodologies was found.Benchmarking; cost functions; frontier; stochastic model; ADERASA

Technical efficiency in electricity generation - the impact of smallness and isolation of island economies

Technical efficiency in electricity generation - the impact of smallness and isolation of island economie

Health, Technical Efficiency And Agricultural Production In Indian Districts

In this study, we attempt to quantify the effect of improved population health on technical efficiency in agricultural production. Using data for over 260 districts in 15 Indian states, we employ the random-coefficients technique to estimate a Cobb-Douglas production function, computing overall and input specific technical efficiencies for each district. We then model health (the district infant mortality rate) as a determinant of (in) efficiency in a second stage, controlling for a range of other socioeconomic variables. We find that decreases in the infant mortality rate, as well as increases in the literacy rate and level of irrigation, are associated with significant increases in overall technical efficiency, and that a good portion of healths effect is probably due to improvements in the efficiency of labor use. While efficiency increases from improvements in irrigation and literacy are larger, the potential gains from health are still fairly substantial.technical efficiency, Random coefficients model, the frontier production function