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...

This paper reconsiders the evolution of the growth of American cities since 1790 in the 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...

This paper analyses the growth of American cities, understood as the growth of the population or of the per capita income, from 1990 to 2000. This empirical analysis uses data from all the cities (incorporated places) with more than 25,000 inhabitants in the year 2000 (1152 cities). The results...

This paper analyses the determinants of growth of American cities, understood as growth of the population or per capita income, from 1990 to 2000. This empirical analysis uses data from all cities with no size restriction (our sample contains data for 21,655 cities). The results show that while...

This paper analyses the determinants of growth of American cities, understood as growth of the population or of per capita income, from 1990 to 2000. This empirical analysis uses data from all cities with more than 25,000 inhabitants in the year 2000 (1154 cities). The results show that while a...

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...