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Age effects in demand models: What about cohort and period effects?

机译:需求模型中的年龄效应:队列和周期效应如何?

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Age effects in demand models are commonly estimated by using one year of microdata. However, what is usually forgotten is that there is a linear dependency between age, period, and cohort. Hence, the age effect may be biased when cohort is excluded. In this paper, a mixed-effects-demand model for milk is estimated, and it is shown how it might go wrong when cohort is not accounted for. In addition, lower intercepts in younger cohorts than in older cohorts indicate that over time, milk purchase will continue to decrease as younger cohorts replace older cohorts.
机译:需求模型中的年龄效应通常通过使用一年的微数据来估算。但是,通常被遗忘的是年龄,时期和队列之间存在线性关系。因此,在排除同类人群时,年龄效应可能会产生偏差。在本文中,估计了牛奶的混合效果需求模型,该模型显示了如果不考虑同类人群,牛奶可能会出错。此外,年轻人群的拦截率低于老年人群,这表明随着时间的流逝,随着年轻人群取代老年人群,牛奶购买量将继续减少。

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