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经济学家们正在对新古典增长模型作一些改进,以研究经济体和技术进步率在横截面(空间)数据上的不同。这些模型描述了经济体的变化状态,这些变化状态包括不同经济体收敛于稳态路径和变化中出现的各种相同或不同的形式。这篇论文详细阐述了对这些变化进行建模的机制和如何在计量上将这些变化测算出来。我们提出了关于衡量收敛的一个新的回归检验方法,推导出了它的渐进性质,给出它的有限样本性质的模拟结果。在对美国区域数据,经合组织数据以及宾夕法尼亚大学世界表(Penn World Table da-ta),运用一系列经验方法研究的基础上,我们得出了单个经济体和经济组织的变化曲线。
Economists are making some improvements to the neoclassical growth model to study the differences in cross-sectional (spatial) data on economies and technological progress rates. These models describe the changing states of an economy, which include the same or different forms in which different economies converge to steady-state paths and changes. This essay elaborates on the mechanisms by which these changes are modeled and how these measures can be measured in a measurable manner. We propose a new regression test method for measuring convergence, derive its asymptotic behavior, and give its simulation result of finite sample properties. Based on a series of empirical studies of US regional data, OECD data and the Penn World Table da-ta, we have drawn the curves for individual economies and economic organizations.