Quantitative Urban Models | Stephen Redding (Princeton)
Автор: Urban Economics Association
Загружено: 2020-07-02
Просмотров: 8458
This lecture reviews recent developments in quantitative models of cities. The complexity of modeling spatial interactions between agents has meant that the theoretical literature on urban economics and economic geography has traditionally focused on stylized settings − such as a small number of symmetric locations − that cannot easily be taken to the data. More recent research has developed quantitative models of the spatial distribution of economic activity within and across cities. These models are rich enough to incorporate first-order features of the data, such as large numbers of locations with heterogeneous geography, productivity, amenities, and local factors, as well as trade and commuting costs. At the same time, these models are sufficiently tractable to enable quantitative counterfactuals to evaluate empirically meaningful policies and counterfactual scenarios.
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