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Dynamic Urban Models: Agglomeration and Growth

Berliant, Marcus and Wang, Ping (2003) Dynamic Urban Models: Agglomeration and Growth. Social Science Working Paper, California Institute of Technology , Pasadena, CA. (Unpublished)

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Theoretical models of urban growth are surveyed in a common framework. Exogenous growth models, where growth in some capital stock as a function of investment is assumed, are examined first. Then endogenous growth models, where use of some factor by a firm increases the productivity of other firms, are studied. These are all models with perfect competition among agents. Next, models with imperfect competition are discussed. There are two varieties: those employing a monopolistic competition approach to product differentiation, and those employing explicit externalities but lacking some markets. Finally, avenues for future research are explored. Correlations between agglomeration and growth in the various models and data are compared.

Item Type:Report or Paper (Working Paper)
Additional Information:We thank Gilles Duranton, Masa Fujita, Bob Helsley, David Pines, Will Strange, Jacques Thisse, and participants at the Regional Science Association International Meetings for valuable comments and suggestions. The first author gratefully acknowledges financial support from the American Philosophical Society. Needless to say, the usual disclaimer applies. Published as Berliant, M., & Wang, P. (2004). Dynamic urban models: agglomeration and growth. Contributions to Economic Analysis, 266, 531-581.
Group:Social Science Working Papers
Funding AgencyGrant Number
American Philosophical SocietyUNSPECIFIED
Subject Keywords:Agglomerative Activity, Marshallian Externalities, Matching, Urban Growth
Series Name:Social Science Working Paper
Classification Code:JEL: C78; D51; R12
Record Number:CaltechAUTHORS:20170801-144041981
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79706
Deposited By: Jacquelyn Bussone
Deposited On:01 Aug 2017 22:42
Last Modified:03 Oct 2019 18:23

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