This paper reconsiders the evolution of the growth of American cities since 1790 in light of new theories of urban growth. Our null hypothesis for long-term growth is random growth. We obtain evidence supporting random growth against the alternative of mean reversion (convergence) in city sizes...

The aim of this work is to test empirically the validity of Gibrat’s Law in the growth of cities, using data for all the twentieth century of the complete distribution of cities (without any size restrictions) in three countries: the US, Spain and Italy. For this we use different techniques...

The aim of this work is to test empirically the validity of Gibrat’s Law in the growth of cities, using data for all the twentieth century of the complete distribution of cities (without any size restrictions) in three countries: the US, Spain and Italy. For this we use different techniques....

The aim of this work is to test empirically the validity of Gibrat’s Law in the growth of cities, using data for all the twentieth century of the complete distribution of cities (without any size restrictions) in three countries: the US, Spain and Italy. On considering the distribution of...

The aim of this work is to test empirically the validity of Gibrat’s Law in the growth of cities, using data on the complete distribution of cities (without size restrictions or a truncation point) in three countries (the US, Spain and Italy) for the entire 20th century. For this we use...

This paper uses un-truncated city population data from six countries (the United States, Spain, Italy, France, England and Japan) to illustrate how parametric growth regressions can lead to biased results when testing for Gibrat’s law in city size distributions. The OLS results show...