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分类依据与纠错

AI 根据所提供的论文材料归类:摘要直接研究非平稳异质面板、共同随机趋势、协整和聚合关系。

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关注这篇论文的作者
Lorenzo Trapani
Giovanni Urga

异质面板中的共同随机趋势与聚合

研究问题
有限个体的非平稳异质面板中,个体关系均协整但聚合保留协整的条件失效时,聚合关系会呈现何种非协整特征?
方法与思路
作者分析聚合协整条件被违反的情形,关注聚合关系与协整方程的观测等价性,并推导聚合估计非协整程度的度量及渐近性质。
材料陈述的贡献
摘要称建立了衡量聚合估计非协整程度的指标并研究其渐近性质,回应个体协整未必能在聚合层面保留的问题。
阅读关注点
应核对聚合权重与异质参数如何影响共同趋势、非协整度量的定义,以及观测等价性和渐近性质所需的条件。
阅读边界
仅据所给出版社摘要,无法列出聚合保留协整的完整条件或度量公式;分析明确针对有限个体,不能自动延伸到大截面面板。

原文摘要

In nonstationary heterogeneous panels where the number of units is finite and where each unit cointegrates, a large number of conditions needs to be satisfied for cointegration to be preserved in the aggregate relationship. In reality, the conditions most likely will not hold. This paper takes a closer look at what happens when the conditions are violated. In this case, the question of whether an aggregate relationship is observationally equivalent to a cointegrating equation is of particular interest. We derive a measure of the degree of noncointegration of the aggregate estimates, and we explore its asymptotic properties.We thank Stephen Hall for inspiring discussions and comments during the initial stage of this research. We are grateful to participants in the 9th Conference on Panel Data (Geneva, June 22–23, 2000) and the 2000 Meeting of the Society for Economic Dynamics (San José, Costa Rica, June 29–July 2, 2000) and to colleagues at the University of Bergamo (Italy), London Business School (UK), and Cass Business School (UK) for useful comments. We have enormously benefited from comments and suggestions from two anonymous referees, the editor, Peter C.B. Phillips, and the co-editor, Bruce Hansen. The usual disclaimer applies. G. Urga acknowledges ESRC (Project R022251032) for financial support. Lorenzo Trapani acknowledges financial support from Cass Business School (RAE Development Funds Scheme) and ESRC Postdoctoral Fellowship Scheme (A.N. PTA-026-27-1107).

笔记与分组
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