THE MAXIMUM-ENTROPY APPROACH IN PRODUCTION FRONTIER ESTIMATION

被引：4
|
作者：
SENGUPTA, JK
机构：
[1] Department of Economics, University of California, Santa Barbara
来源：
MATHEMATICAL SOCIAL SCIENCES | 1992年 / 25卷 / 01期
关键词：
MAXIMUM ENTROPY; NONPARAMETRIC ESTIMATION OF PRODUCTION FRONTIER; DATA ENVELOPMENT ANALYSIS; NONZERO SUM GAME MODELS;
D O I：
10.1016/0165-4896(92)90024-Y
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The information theory approach develops a non-parametric method of estimating the true probability distribution underlying a given set of statistical data. It has been applied frequently in econometric research in estimating lag distributions and in choosing prior distributions in a Bayesian framework. Here it is applied in the context of estimating an efficient production surface from a set of input-output data.
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页码：41 / 57
页数：17
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