Skip Navigation


Journal of Economic Geography Advance Access originally published online on January 7, 2005
Journal of Economic Geography 2005 5(1):83-100; doi:10.1093/jnlecg/lbh055
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
5/1/83    most recent
lbh055v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Timmins, C.
Right arrow Search for Related Content
Related Collections
Right arrow C10 - General
Right arrow O12 - Microeconomic Analyses of Economic Development
Right arrow O15 - Human Resources; Human Development; Income Distribution; Migration
Right arrow O18 - Regional, Urban, and Rural Analyses
Right arrow R10 - General
Right arrow R11 - Regional Economic Activity: Growth, Development, and Changes
Right arrow R12 - Size and Spatial Distributions of Regional Economic Activity
Right arrow R15 - Econometric and Input-Output Models; Other Models
Right arrow R23 - Regional Migration; Regional Labor Markets; Population
Right arrow R31 - Housing Supply and Markets
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?


Journal of Economic Geography, Vol. 5, No. 1, © Oxford University Press 2005; all rights reserved.

Estimable equilibrium models of locational sorting and their role in development economics

Christopher Timmins*

* Department of Economics, Duke University, P.O. Box 90097, Durham, NC 27708, USA. email <christopher.timmins{at}duke.edu>

Abstract

Geography plays a prominent role in many problems in development economics—directly in analyses of the spatial distribution of important variables like poverty and productivity, and indirectly through the role of local spillovers in economic growth. Empirical work on these topics is complicated by the fact that the behavioral consequences of such spillovers cannot be distinguished from those of unobservable local attributes using only the observed location decisions of individuals or firms. This problem can be solved with an instrumental variables strategy derived from the internal logic of a structural model of residential sorting. We show practically how the strategy is implemented, provide intuition for the instruments and econometric identification, demonstrate how traditional techniques overstate agglomeration externalities, and use the model to value changes in spillovers from urban centers.

Keywords: agglomeration, congestion, local spillovers, natural advantage, endogenous location choice, discrete choice models, economic geography,
JEL classifications: R1, C1, O18, R23
Date submitted: 1 May 2003     Date accepted: 1 March 2004


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.