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Quantitative Urban Economics

Stephen Redding

Working Papers from Princeton University, Department of Economics, Center for Economic Policy Studies.

Abstract: This paper reviews recent quantitative urban models. These models are sufficiently rich to capture observed features of the data, such as many asymmetric locations and a rich geography of the transport network. Yet these models remain sufficiently tractable as to permit an analytical characterization of their theoretical properties. With only a small number of structural parameters (elasticities) to be estimated, they lend themselves to transparent identification. As they rationalize the observed spatial distribution of economic activity within cities, they can be used to undertake counterfactuals for the impact of empirically-realistic public-policy interventions on this observed distribution. Empirical applications include estimating the strength of agglomeration economies and evaluating the impact of transport infrastructure improvements (e.g., railroads, roads, Rapid Bus Transit Systems), zoning and land use regulations, place-based policies, and new technologies such as remote working.

Keywords: cities; commuting; transportation; urban economics (search for similar items in EconPapers)
JEL-codes: R32 R41 R52 (search for similar items in EconPapers)
Date: 2024-11
New Economics Papers: this item is included in nep-ecm, nep-geo, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
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https://gceps.princeton.edu/wp-content/uploads/2024/11/wp340_Redding_QUM.pdf

Related works:
Working Paper: Quantitative urban economics (2024) Downloads
Working Paper: Quantitative urban economics (2024) Downloads
Working Paper: Quantitative Urban Economics (2024) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:pri:cepsud:340

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