Formulation And Estimation Of Stochastic Frontier Production Function Models Pdf


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31.03.2021 at 07:19
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formulation and estimation of stochastic frontier production function models pdf

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This article proposed a hybrid of a stochastic frontier regression. The proposed model and estimation differ from the conventional model of Aigner, Lovell, and Schmidt.

Metrics details. Cage culture plays an important role in achieving higher output and generating more export earnings in Malaysia.

A stochastic frontier analysis of technical efficiency of fish cage culture in Peninsular Malaysia

This paper considers translog and Cobb-Douglas stochastic frontiers in which the technical inefficiency effects are defined by three different models. The models involved are the time-varying inefficiency model, proposed by Battese and Coelli , the inefficiency effects model for panel data, proposed by Battese and Coelli , and the non-neutral frontier model, proposed by Huang and Liu Technical change is also accounted for in the frontier models.

Predicted technical efficiencies of the wheat farmers and estimates of the elasticities of wheat production with respect to the different inputs and the returns-to-scale parameter are compared under the different model specifications. This is a preview of subscription content, access via your institution. Rent this article via DeepDyve. Aigner, D. Lovell and P. Google Scholar. Battese, G. Malik and S. Malik and M.

Coelli, T. Hjalmarsson, L. Kumbhakar and A. Huang, C. Kodde, D. Meeusen, W. Polachek, S. Download references. Reprints and Permissions. Journal of Productivity Analysis 8, — Download citation. Issue Date : November Search SpringerLink Search. Abstract This paper considers translog and Cobb-Douglas stochastic frontiers in which the technical inefficiency effects are defined by three different models. Immediate online access to all issues from Subscription will auto renew annually.

References Aigner, D. Broca Authors George E. Battese View author publications. View author publications. Rights and permissions Reprints and Permissions. About this article Cite this article Battese, G.

Estimation of a non-neutral stochastic frontier production function

This paper considers translog and Cobb-Douglas stochastic frontiers in which the technical inefficiency effects are defined by three different models. The models involved are the time-varying inefficiency model, proposed by Battese and Coelli , the inefficiency effects model for panel data, proposed by Battese and Coelli , and the non-neutral frontier model, proposed by Huang and Liu Technical change is also accounted for in the frontier models. Predicted technical efficiencies of the wheat farmers and estimates of the elasticities of wheat production with respect to the different inputs and the returns-to-scale parameter are compared under the different model specifications. This is a preview of subscription content, access via your institution.

Box , Dubai, United Arab Emirates. The Palestinian government has been under increasing pressure to improve provision of health services while seeking to effectively employ its scare resources. A clearer understanding of the technical efficiency of hospitals is crucial to shape future health policy reforms. In this paper, we used stochastic frontier analysis to measure technical efficiency of governmental hospitals, the first of its kind nationally. We estimated maximum likelihood random-effects and time-invariant efficiency model developed by Battese and Coelli, Number of beds, number of doctors, number of nurses, and number of non-medical staff, were used as the input variables, and sum of number of treated inpatients and outpatients was used as output variable.

Simwaka, Kisu : Maximum likelihood estimation of a stochastic frontier model with residual covariance. In theoretical literature on productivity, the disturbance terms of the stochastic frontier model are assumed to be independent random variables. In this paper, we consider a stochastic production frontier model with residuals that are both spatially and time-wise correlated. We introduce generalizations of the Maximum Likelihood Estimation procedure suggested in Cliff and Ord and Kapoor We assume the usual error component specification, but allow for possible correlation between individual specific errors components. The model combines specifications usually considered in the spatial literature with those in the error components literature.


Formulation and estimation of stochastic frontier production function models☆ Previous studies of the so-called frontier production function have not utilized.


Measuring efficiency of governmental hospitals in Palestine using stochastic frontier analysis

Shallot is one of the potential horticultural commodities. The purpose of this study is to estimate the production function and efficiency of shallot farming. The method used in the study is the estimation of production functions using stochastic frontier.

Historically standard regression has been used to assess performance in marketing, especially of salespeople and retail outlets.

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2 Comments

Paulino C.
03.04.2021 at 06:00 - Reply

0 North-Holland Publishing Company. FORMULATION AND ESTIMATION OF STOCHASTIC. FRONTIER PRODUCTION FUNCTION MODELS*.

Kim T.
05.04.2021 at 03:57 - Reply

In the setting of the Stochastic Frontier Production Models, the productive efficiency of the 28 countries belonging to the European Union is analysed.

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