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Zipfs Law for Cities: A Cross Country Investigation Author info | Abstract | Publisher info | Download info | Related research | Statistics Kwok Tong Soo
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This paper assesses the empirical validity of Zipf¿s Law for cities, using new data on 73countries and two estimation methods ¿ OLS and the Hill estimator. With either estimator,we reject Zipf¿s Law far more often than we would expect based on random chance; for 53out of 73 countries using OLS, and for 30 out of 73 countries using the Hill estimator. TheOLS estimates of the Pareto exponent are roughly normally distributed, but those of the Hillestimator are bimodal. Variations in the value of the Pareto exponent are better explained bypolitical economy variables than by economic geography variables.
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Paper provided by Centre for Economic Performance, LSE in its series CEP Discussion Papers with number
dp0641.
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Date of creation: Jul 2004Date of revision:
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Keywords: Cities ; Zipf¿s Law ; Pareto distribution ; Hill estimator ; Other versions of this item:
Find related papers by JEL classification: C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Econometric and Statistical Methods; Specific Distributions R12 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
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