Data and Code for: Loss in the Time of Cholera: Long-run Impact of a Disease Epidemic on the Urban Landscape

Principal Investigator(s):  View help for Principal Investigator(s) Attila Ambrus, Duke University; Erica Field, Duke University; Robert Gonzalez, University of South Carolina

Version:  View help for Version V2

Version Title:  View help for Version Title Corrected author information

Name File Type Size Last Modified
  aer_replication 09/02/2019 02:23:PM
README.pdf application/pdf 587 KB 08/21/2019 10:47:AM

Project Citation: 

Ambrus, Attila, Field, Erica, and Gonzalez, Robert. Data and Code for: Loss in the Time of Cholera: Long-run Impact of a Disease Epidemic on the Urban Landscape. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-01-31. https://doi.org/10.3886/E111523V2

Project Description

Summary:  View help for Summary How do geographically concentrated income shocks influence the long-run spatial distribution of poverty within a city? We examine the impact on housing prices of a cholera epidemic in one neighborhood of 19th century London. Ten years after the epidemic, housing prices are significantly lower just inside the catchment area of the water pump that transmitted the disease. Moreover, differences in housing prices persist over the following 160 years. We make sense of these patterns by building a model of a rental market with frictions in which poor tenants exert a negative externality on their neighbors, which showcases how a locally concentrated income shock can persistently change the tenant composition of a block.

Scope of Project

Subject Terms:  View help for Subject Terms urban development; urban poverty; health shocks
JEL Classification:  View help for JEL Classification
      O18 Urban, Rural, Regional, and Transportation Analysis • Housing • Infrastructure
Geographic Coverage:  View help for Geographic Coverage London, UK
Time Period(s):  View help for Time Period(s) 1853 – 2015
Data Type(s):  View help for Data Type(s) administrative records data; census/enumeration data; geographic information system (GIS) data; images: photographs, drawings, graphical representations


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V2 [2020-01-31]

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