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首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Paper: Solving the Time-Varying Cobb-Douglas Production Function Using a Varying-Coefficient Quantile Regression Model
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Paper: Solving the Time-Varying Cobb-Douglas Production Function Using a Varying-Coefficient Quantile Regression Model

机译:纸质:使用不同系数分位数回归模型解决时变的COBB-DOGGLAS生产函数

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摘要

The output elasticity estimated by the traditional Cobb-Douglas production function is a fixed constant that describes developed countries with relative stable factor shares well. While the fixed constant fails to describe developing countries with changing factor shares during economic transitional periods, such as China. In this paper, we construct a time-varying elasticity production function model and extend the Cobb-Douglas production function to a time-varying elasticity Cobb-Douglas production function. The semi-parametric varying-coefficient quantile model, together with the local polynomial and the two-phase methods, is used for the estimation of the time-varying elasticity of the capital coefficient and the labor force. Empirical research on Chinese economic growth shows that the time-varying elasticity of capital is declining and the time-varying elasticity of the labor force is increasing gradually.
机译:传统的COBB-DOGGLAS生产函数估计的输出弹性是一个固定的常数,描述了具有相对稳定因子股的发达国家。 虽然固定的常数未能描述在中国经济过渡期间的变化因子股的发展中国家,如中国。 在本文中,我们构建了一个时变弹性生产功能模型,并将Cobb-Douglas生产功能扩展到时变弹性Cobb-Douglas生产功能。 半导体变化系数数量模型与局部多项式和两相方法一起用于估计资本系数和劳动力的时变弹性。 中国经济增长的实证研究表明,资本的时变弹性正在下降,劳动力的时变弹性逐渐增加。

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