18 Pages Posted: 8 Mar 2017
Date Written: March 7, 2017
In this paper, I attempt to extend insights regarding statistical aggregates, from scholars such as Hayek (1931) and Mises (1947), to the topic of inequality. Using the work of Lindert and Williamson (2016), I show that a disaggregation of inequality into some of its many subcomponents alters our reading of its evolution. While I only work with stylized facts from the field of economic history, I argue that the promising implications derived from disaggregation militate in favour of more effort being directed toward decomposing the evolution of inequality.
Keywords: Inequality, Measurements, Aggregation Bias
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