A nonparametric estimation of the local Zipf exponent for all US Cities (original) (raw)

2011

Abstract

In this paper we apply the methodology proposed by Ioannides and Overman (2003) to estimate a local Zipf exponent using data for the entire twentieth century of the complete distribution of cities (incorporated places) without any size restrictions in the US. First, we run kernel regressions using the Nadaraya–Watson estimator, excluding some atypical observations (5.66% of the sample). The results

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