Estimation of technical inefficiency effects using panel data and doubly heteroscedastic stochastic production frontiers

被引：1

作者：

K. Hadri

C. Guermat

J. Whittaker

机构：

[1] The University of Liverpool, Department of Economics/Accounting, The School of Management, Liverpool L69 7ZH, Chatham Street

[2] University of Exeter, School of Business and Economics, Exeter EX4 4PU, Rennes Drive

来源：

Empirical Economics | 2003年 / 28卷 / 1期

关键词：

Elasticity; Heteroscedasticity; Panel data; Stochastic frontier production; Technical efficiency;

D O I：

10.1007/s001810100127

中图分类号：

学科分类号：

摘要：

In previous studies, measures of technical inefficiency effects derived from stochastic production frontiers have been estimated from residuals which are sensitive to specification errors. This study corrects for this inaccuracy by extending the doubly heteroscedastic stochastic cost frontier suggested by Hadri (1999) to the model for technical inefficiency effects. This model is a stochastic frontier production function for panel data as proposed by Battese and Coelli (1995). The study uses, for illustration of the techniques, data on 101 mainly cereal farms in England. We find that the correction for heteroscedasticity is supported by the data. Both point estimates and confidence intervals for technical efficiencies are provided. The confidence intervals are constructed by extending the Battese-Coelli" method reported by Horrace and Schmidt (1996) by allowing the technical inefficiency to be time varying and the disturbance terms to be heteroscedastic. The confidence intervals reveal the precision of technical efficiency estimates and show the deficiencies of making inferences based exclusively on point estimates."

引用

页码：203 / 222

页数：19

共 15 条

[1]

Battese G.E., Coelli T.J., A model for technical inefficiency effects in a stochastic frontier production for panel data, Empirical Economics, 20, pp. 325-332, (1995)

[2]

Caudill S.B., Ford J.M., Gropper D.M., Frontier estimation and firm-specific inefficiency measures in the presence of heteroscedasticity, Journal of Business and Economic Statistics, 13, pp. 105-111, (1995)

[3]

Guermat C., Hadri K., Backpropagation neural network versus translog in stochastic frontiers: A Monte-Carlo analysis, Discussion Paper in Economics 99/16, (1999)

[4]

Greene W.H., Frontier production functions, Handbook of Applied Econometrics, 2, pp. 81-166, (1997)

[5]

Hadri K., Whittaker J., Efficiency, environmental contaminants and farm size: Testing for links using stochastic production frontiers, Journal of Applied Economics, 2, pp. 337-356, (1999)

[6]

Hadri K., A frontier approach to disequilibrium models, Applied Economic Letters, 4, pp. 699-701, (1997)

[7]

Hadri K., Estimation of a doubly heteroscedastic stochastic frontier cost function, Journal of Business and Economic Statistics, 17, pp. 359-363, (1999)

[8]

Horrace W.C., Schmidt P., Confidence statements for efficiency estimates from stochastic frontier models, Journal of Productivity Analysis, 7, pp. 257-282, (1996)

[9]

Jondrow J., Lovell C.A.K., Materov I., Schmidt P., On the estimation of technical inefficiency in stochastic production function model, Journal of Econometrics, 19, pp. 233-238, (1982)

[10]

Kalirajan K., An econometric analysis of yield variability in paddy production, Canadian Journal of Agricultural Economics, 29, pp. 283-294, (1981)

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