When can micro properties be used to predict aggregate demand?
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Date
2006Metadata
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- Discussion Papers [1011]
Abstract
Abstract:
Heterogeneity in consumer behaviour creates differences in demand responses, which may create
problems with aggregation across consumers. If aggregation problems exist, results from estimation
based on aggregate data may prove difficult to interpret. Using estimation results from micro data to
predict aggregate demand responses may also create disaggregation bias (the reverse aggregation
problem). The aim of this paper is to discuss potential problems of using micro data to predict
aggregate demand, and how such problems relate to the linear and non-linear aggregation problem.
We also expand the theories of linear and non-linear aggregation to the case in which prices vary
across agents. We formulate and test criteria for aggregation by using data on Norwegian household
electricity consumption. We find clear evidence of aggregation problems, as heterogeneity in both
price and income derivatives are significant. We thus expect to experience problems with
aggregation when analysing Norwegian household electricity consumption.
Keywords: Aggregation problems, Electricity demand, Microeconometrics