聚合与消费者行为:最近的一些研究结果

Richard Blundell , Costas Meghir , Guglielmo Weber
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引用次数: 2

摘要

覆盖较长时间的家庭数据的可用性使得评估汇总偏差的可能来源相对容易。在本文中,我们说明了一个有前途的方法,它需要计算跨家庭的聚集因子。如果这些因素随着时间的推移是稳定的,则可以使用汇总数据来估计微参数。我们的应用涵盖了消费者需求方程和动态消费关系,但该方法可以应用于各种不同的环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aggregation and consumer behaviour: some recent results

The availability of household-level data covering long periods of time makes it relatively easy to assess likely sources of aggregation bias. In this paper, we illustrate a promising methodology, which requires computing aggregation factors across households. If these factors are stable over time, aggregate data can be used to estimate micro-parameters.

Our application covers consumer demand equations, and dynamic consumption relations, but the methodology could be applied in a variety of different contexts.

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