Abstract
This paper investigates the combined effects of the aggregation and endogeneity problems when there exists a correlation between explanatory variables and the error term in the micro equation. Comparing OLS estimates on the basis of an asymptotic-square-bias criterion, the analysis indicates that aggregate equations are in general subject to less endogeneity due to the synchronization effect. The trade-off between aggregation and endogeneity biases is examined and the conditions under which the aggregate equation is superior to the micro equation are derived in terms of the relative sizes of parameters. [210]
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