Urban population density gradients have been traditionally estimated from cross-sectional data. The estimates obtained show a flattening of the gradients through time. Few works have attempted to empirically investigate the determinants of the parameters of the function. In this paper we have specified and estimated a simple model of density gradient which uses pooled cross-sectional and time-series data. The results show that income, size of metropolitan area and a time variable explain well the flattening through time of the density gradient in Tel Aviv metropolitan area.
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