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Using Time-Series and Cross-Section Data to Estimate a Production Function with Positive and Negative Marginal Risks

 

作者: WilliamE. Griffiths,   JockR. Anderson,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1982)
卷期: Volume 77, issue 379  

页码: 529-536

 

ISSN:0162-1459

 

年代: 1982

 

DOI:10.1080/01621459.1982.10477842

 

出版商: Taylor & Francis Group

 

关键词: Stochastic production functions;Error components;Additive disturbance;Heteroscedasticity

 

数据来源: Taylor

 

摘要:

Two production-function models with error components for time and firms and a heteroscedastic disturbance are proposed. Unlike previous models, these two permit the variance of output to increase or decrease as one of the inputs is increased. When the models and some suggested estimators are applied to the pastoral zone of eastern Australia, the results indicate that labor, water, and possibly fencing, are likely to reduce the variance of wool production; and that sheep, and buildings and land, are likely to increase the variance.

 

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