Parametric, semiparametric and nonparametric models of urban growth

This paper discusses parametric, nonparametric, and semiparametric models of urban growth. To illustrate differences across approaches, we test Gibrat's law in the long run, using three methods different datasets: Spanish capital cities regions (1900–2011, annual data) US MSAs (1900–2000, decennial data). Our results reveal that estimation relationship between growth initial size can significantly vary methods. We suggest encourage use future research • Gibrat’s run Three datasets are considered: regions, MSAs. The estimated