Quantitative Spatial Economics

50 Pages Posted: 20 Sep 2016

See all articles by Stephen J. Redding

Stephen J. Redding

Princeton University

Esteban Rossi-Hansberg

Princeton University - Department of Economics; National Bureau of Economic Research (NBER)

Multiple version iconThere are 3 versions of this paper

Date Written: September 2016

Abstract

The observed uneven distribution of economic activity across space is influenced by variation in exogenous geographical characteristics and endogenous interactions between agents in goods and factor markets. Until recently, the theoretical literature on economic geography had focused on stylized settings that could not easily be taken to the data. This paper reviews more recent research that has developed quantitative models of economic geography. These models are rich enough to speak to first-order features of the data, such as many heterogenous locations and gravity equation relationships for trade and commuting. Yet at the same time these models are sufficiently tractable to undertake realistic counterfactuals exercises to study the effect of changes in amenities, productivity, and public policy interventions such as transport infrastructure investments. We provide an extensive taxonomy of the different building blocks of these quantitative spatial models and discuss their main properties and quantification.

Keywords: agglomeration, cities, economic geography, quantitative models, spatial economics

JEL Classification: F10, F14, R12, R23, R41

Suggested Citation

Redding, Stephen J. and Rossi-Hansberg, Esteban Alejandro, Quantitative Spatial Economics (September 2016). CEPR Discussion Paper No. DP11500. Available at SSRN: https://ssrn.com/abstract=2840697

Stephen J. Redding (Contact Author)

Princeton University ( email )

Princeton, NJ 08544-1021
United States

HOME PAGE: http://www.princeton.edu/~reddings/

Esteban Alejandro Rossi-Hansberg

Princeton University - Department of Economics ( email )

Princeton, NJ
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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