Social capital, barriers to production and capital shares: implications for the importance of parameter heterogeneity from a nonstationary panel approach
社会资本、生产壁垒与资本份额：非平稳面板中的参数异质性AI 解读 ↓
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AI 根据所提供的论文材料归类：摘要研究跨国收入与总量生产异质性，并以非平稳面板的低频行为作为推断基础。
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社会资本、生产壁垒与资本份额：非平稳面板中的参数异质性
- 研究问题
- 当社会资本和制度性生产壁垒不可直接观测时，如何区分收入差距的异质性来源，并检验解释条件预测收敛所需的生产参数分布？
- 方法与思路
- 作者利用非平稳面板的低频行为，在允许广泛不可观测因素的框架中推断总量生产性质，并估计和检验生产函数参数分布。
- 材料陈述的贡献
- 摘要称，解释持续的跨国人均收入差距，需要不可观测机制同时解释稳态资本份额异质性，仅解释生产率趋势差异并不足够。
- 阅读关注点
- 应核对所谓温和假设的具体内容、低频行为如何识别参数分布，以及条件预测收敛与稳态资本份额之间的理论联系。
- 阅读边界
- 仅据所给 Crossref 摘要，无法评价对不可观测因素的稳健范围或参数分布识别；结果不能直接确认某一种社会资本或制度机制。
原文摘要
Abstract Recent advances in the growth literature have proposed that difficult‐to‐quantify concepts such as social capital may play an important role in explaining the degree of persistent income disparity that is observed among countries. Other recently explored possibilities include institutional mechanisms which generate barriers to aggregate production. An important limitation for empirical work in this area stems from the fact that it is difficult to distinguish sources of heterogeneity when direct observations are not available. In this study, we show how developments in the analysis of nonstationary panels can aid in this endeavor. In contrast to traditional dynamic panel data analysis, this approach focuses explicitly on low‐frequency behavior. Under relatively mild assumptions, the approach can be used to infer properties of aggregate production which are robust to the presence of large classes of unobserved features. In this framework we are able to estimate and test the distribution of production function parameters that would be required in order to generate conditional forecast convergence of per capita incomes even when some of the key factors required to explain growth are unobserved. The results indicate that in order to fully explain the observed persistence in the disparity of per capita incomes, the manner in which unobserved mechanisms influence production must go beyond merely accounting for differences in the trending behavior of aggregate productivity. Specifically, if such mechanisms are to be successful empirically, they must also be able to account for cross‐country heterogeneity in steady‐state capital shares. This adds to a growing literature that provides support for models with multiple production regimes. Copyright © 2007 John Wiley & Sons, Ltd.