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AI 根据所提供的论文材料归类:摘要直接讨论货币需求的协整与单位根现象,并比较总量模型和微观方程产生的总量预测。

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Aggregate vs. disaggregate data analysis—a paradox in the estimation of a money demand function of Japan under the low interest rate policy

日本低利率政策下货币需求估计的总量与分项分析悖论

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关注这篇论文的作者
Cheng Hsiao
Yan Shen
Hiroshi Fujiki

日本低利率政策下货币需求估计的总量与分项分析悖论

研究问题
为何日本总量与分项货币需求数据给出相反的稳定性判断,微观异质性如何影响总量协整、预测和政策评价?
方法与思路
作者比较总量与分项数据,给出异质微观协整关系能够形成总量协整的充要条件,并用模拟考察条件违反后的表现。
材料陈述的贡献
摘要称分项关系稳定且未显示流动性陷阱;忽略异质性可产生总量单位根现象,并使总量预测和政策评价失准。
阅读关注点
应核对聚合协整条件、微观单位与异质性的定义、稳定性及流动性陷阱判据,以及预测比较的具体设计。
阅读边界
仅据所给 Crossref 摘要,充要条件、样本划分和政策评价方法未说明;结论的适用范围仍须结合全文判断。

原文摘要

Abstract We use Japanese aggregate and disaggregate money demand data to show that conflicting inferences can arise. The aggregate data appears to support the contention that there was no stable money demand function. The disaggregate data shows that there was a stable money demand function. Neither was there any indication of the presence of a liquidity trap. Possible sources of discrepancy are explored and the diametrically opposite results between the aggregate and disaggregate analysis are attributed to the neglected heterogeneity among micro units. We provide necessary and sufficient conditions for the existence of a cointegrating relation among aggregate variables when heterogeneous cointegration relations among micro units exist. We also conduct simulation analysis to show that when such conditions are violated, it is possible to observe stable micro relations, but unit root phenomena among macro variables. Moreover, the prediction of aggregate outcomes, using aggregate data, is less accurate than the prediction based on micro equations, and policy evaluation based on aggregate data ignoring heterogeneity in micro units can be grossly misleading. Copyright © 2005 John Wiley & Sons, Ltd.

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