Macroeconomic Implications of Agglomeration
Toni Whited (),
Jonas Fisher () and
Morris Davis ()
No 1330, 2010 Meeting Papers from Society for Economic Dynamics
We construct a dynamic general equilibrium model of cities and use it to estimate the effect of local agglomeration on per capita consumption growth. Agglomeration affects growth through the density of economic activity: higher production per unit of land raises local productivity. Firms take productivity as given; produce using a technology that has constant returns in developed land, capital, and labor; and accumulate land and capital. If land prices are rising, as they are empirically, firms economize on land. This behavior increases density and contributes to growth. We use a panel of U.S. cities and our model's predicted relationship among wages, output prices, housing rents, and labor quality to estimate the net e®ect of agglomeration on local wages. The impact of agglomeration on the level of wages is estimated to be 2 percent. Combined with our model and observed increases in land prices, this estimate implies that agglomeration raises per capita consumption growth by 10 percent.
References: Add references at CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Journal Article: Macroeconomic Implications of Agglomeration (2014)
Working Paper: Macroeconomic Implications of Agglomeration (2013)
Working Paper: Macroeconomic implications of agglomeration (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:red:sed010:1330
Access Statistics for this paper
More papers in 2010 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().