一种新的TFP测算方法——评估模型与投影迭代算法
New TFP Measurement——Evaluation Model and Least Square Algorithm
如今专家们经常以数据和经验对TFP值进行估计，这样或多或少会存在一些主观因素。我们在1993年提出一种凸约束下的广义线性回归模型[1]，其中的因变量未知。本文基于此模型在实际评估中的作用来测算TFP，构造了基于评估模型和生产函数的TFP新模型。然后，我们给出了利用两凸集间的投影迭代算法进行了参数的最小二乘估计的方法。最后，将其应用到评估模型和生产函数的求解中。我们的研究为实际问题模型的评估和深入研究前所必须的数据预处理工作提供了有效的工具。
he value of TFP in society is always evaluated by experts with data and experiences. There are some subjective factors in the evaluation more or less. In this article, we measure TFP based on actual evaluation work which is a kind of generalized linear regression model with convex constraint and unknown dependent variable we have proposed in 1993[1]. Then we construct a new model of TFP based on the evaluation model and the production function. We give the least square estimate of the parameters using iterative projection between two convex sets. At last, we use this least square iterative to work out the evaluation model of production function. Our work may give a useful tool for evaluation and a precondition for deep research of the model.
童恒庆、彭慧、刘洋
经济学数学
FP，最小二乘算法，评估模型，投影迭代，生产函数
FP Least Square algorithm Evaluation Model Iterative Projection Production function
童恒庆,彭慧,刘洋.一种新的TFP测算方法——评估模型与投影迭代算法[EB/OL].(2008-01-21)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/200801-599.点此复制
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