排序方式: 共有3条查询结果,搜索用时 78 毫秒
1
1.
Estimation of technical inefficiency effects using panel data and doubly heteroscedastic stochastic production frontiers 总被引:3,自引:0,他引:3
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.
First version received: March 2000/Final version received: Oct. 2001
RID="*"
ID="*" The authors are grateful to the Economic and Social Research Council for access to their Data Archive which has provided
the data for this research. We are indebted to Badi Baltagi and two anonymous referees for their helpful comments and suggestions.
The usual caveat applies. 相似文献
2.
Abstract: Several recent empirical tests of the Capital Asset Pricing Model have been based on the conditional relationship between betas and market returns. This paper shows that this method needs reconsideration. An adjusted version of this test is presented. It is then demonstrated that the adjusted technique has similar, or lower, power to the more easily implemented CAPM test of Fama and MacBeth (1973) if returns are normally distributed. 相似文献
3.
This paper empirically examines the factors that influence foreign investors to engage in foreign direct investment (FDI) in Oman. One hundred and six foreign equity ventures participated in the study. The analysis of the data reveals that political and economic stability are the two most important motives for investing in Oman. Contrary to expectations, purchasing power of customers, market size, and availability of low‐cost inputs are the least desirable factors, respectively. The statistical analysis indicates that all motives do not equally appeal to all foreign investors from different countries. © 2003 Wiley Periodicals, Inc. 相似文献
1